Week 8.2 Anonymous Networks
•
1 like•538 views
This document summarizes research on the anonymous social media platform Whisper. Key findings include: 1) Most Whisper users interact anonymously with strangers and do not form strong social ties. 2) Over 18% of Whisper content is deleted through moderation, compared to 4% on Twitter. 3) Deleted content is typically moderated within 24 hours of posting. 4) While new users contribute content, overall user engagement declines as most users disengage from the platform over time.
Report
Share
Report
Share
Download to read offline
Recommended
Week 6.2: eCrime
This document discusses link farming in online social media platforms like Twitter. It explains that link farming involves users exchanging reciprocal links or follows to improve their ranking in search engines and influence scores. While link farming aims to boost metrics, it is considered spamming behavior. The document notes that both spammers and some legitimate users engage in link farming on Twitter to gain more followers and appear higher in search results. It also presents data from a study of a large Twitter dataset that found a significant percentage of accounts, links, and clicks led to spam, malware, or scam sites.
Week 7.1 Link Farming
This document discusses research into spammers and link farmers on Twitter. It finds that the top spam-followers, who reciprocate all links from spammers, account for 60% of spammer links. Popular users with more followers are also more likely to reciprocate spammer links. However, analysis of the top 100,000 link farmers found that most were still active legitimate accounts, like bloggers and experts, rather than spammers. These link farmers seem to engage in the practice to increase their social capital and influence, with account bios focused on promoting their own content or business.
Privacy and Security in Online Social Media : Trust and Credebillity on OSM
This document summarizes a lecture on privacy and security in online social media. It discusses analyzing misinformation spread on social media during real-world events like hurricanes and bombings. Features of tweets and user profiles are used to classify tweets as real or fake. A Chrome extension called TweetCred is demonstrated that analyzes tweets in real-time to assess credibility using machine learning models trained on these features. The lecture covers collecting, filtering, and annotating social media data from events. Network and linguistic analysis are used to understand information flow and credibility.
Privacy and Security in Online Social : Privacy and Pictures on Online Social...
This document summarizes a presentation on privacy and security in online social media. It discusses topics that will be covered including online social networks, programming languages, APIs, databases, and data analysis techniques. It then discusses concepts related to privacy including Westin's categories of privacy attitudes, concerns about privacy of personal information shared online, and types of privacy. Several experiments are described that aim to re-identify individuals by matching their publicly available social media photos with other unidentified sources, such as dating profiles or campus photos. The results showed that 6.3-10.5% of dating profiles and 38.18% of campus photos could be re-identified this way. The presentation concludes by discussing potential applications of these techniques in India.
Week 8.1 Profile Linking on Online Social Media
Privacy and Security in Online Social Media. Course on NPTEL. Week 8.1 Profile Linking on Online Social Media
News construction from microblogging posts using open data
This document proposes a method to automatically create searchable news articles from tweets by using linked open data to expand concepts, people, organizations, places, and actions mentioned in tweets. It involves determining the key details of tweets like who, what, where, when, why, and how, and using semantic information from linked open data sources like Wikipedia, DBpedia, and Virtuoso to annotate the tweets. An experiment analyzed 90 tweets on 3 topics, manually tagged the important terms, ran a process to automatically identify terms using linked open data, and compared the results, achieving a 76.36% precision rate. Future work is aimed at improving disambiguation and using a more complete set of linked open data to generate semantically annotated news
INFERENCE ATTACK ON BROWSING HISTORY OF TWITTER USERS USING PUBLIC CLICK ANAL...
TO GET THIS PROJECT COMPLETE SOURCE ON SUPPORT WITH EXECUTION PLEASE CALL BELOW CONTACT DETAILS
MOBILE: 9791938249, 0413-2211159, WEB: WWW.NEXGENPROJECT.COM,WWW.FINALYEAR-IEEEPROJECTS.COM, EMAIL:Praveen@nexgenproject.com
NEXGEN TECHNOLOGY provides total software solutions to its customers. Apsys works closely with the customers to identify their business processes for computerization and help them implement state-of-the-art solutions. By identifying and enhancing their processes through information technology solutions. NEXGEN TECHNOLOGY help it customers optimally use their resources.
Inference attack on browsing history of twitter users using public click anal...
This document proposes techniques to infer which shortened URLs Twitter users click on by analyzing publicly available information from Twitter and URL shortening services. It introduces attacks to determine which URLs target users click on by monitoring the tweets they see and comparing click analytics to user metadata. The attacks rely on profiling targets, monitoring followings' tweets for shortened URLs, and matching new click data to target profiles. The document also outlines the system architecture including profiling, monitoring, and matching modules.
Recommended
Week 6.2: eCrime
This document discusses link farming in online social media platforms like Twitter. It explains that link farming involves users exchanging reciprocal links or follows to improve their ranking in search engines and influence scores. While link farming aims to boost metrics, it is considered spamming behavior. The document notes that both spammers and some legitimate users engage in link farming on Twitter to gain more followers and appear higher in search results. It also presents data from a study of a large Twitter dataset that found a significant percentage of accounts, links, and clicks led to spam, malware, or scam sites.
Week 7.1 Link Farming
This document discusses research into spammers and link farmers on Twitter. It finds that the top spam-followers, who reciprocate all links from spammers, account for 60% of spammer links. Popular users with more followers are also more likely to reciprocate spammer links. However, analysis of the top 100,000 link farmers found that most were still active legitimate accounts, like bloggers and experts, rather than spammers. These link farmers seem to engage in the practice to increase their social capital and influence, with account bios focused on promoting their own content or business.
Privacy and Security in Online Social Media : Trust and Credebillity on OSM
This document summarizes a lecture on privacy and security in online social media. It discusses analyzing misinformation spread on social media during real-world events like hurricanes and bombings. Features of tweets and user profiles are used to classify tweets as real or fake. A Chrome extension called TweetCred is demonstrated that analyzes tweets in real-time to assess credibility using machine learning models trained on these features. The lecture covers collecting, filtering, and annotating social media data from events. Network and linguistic analysis are used to understand information flow and credibility.
Privacy and Security in Online Social : Privacy and Pictures on Online Social...
This document summarizes a presentation on privacy and security in online social media. It discusses topics that will be covered including online social networks, programming languages, APIs, databases, and data analysis techniques. It then discusses concepts related to privacy including Westin's categories of privacy attitudes, concerns about privacy of personal information shared online, and types of privacy. Several experiments are described that aim to re-identify individuals by matching their publicly available social media photos with other unidentified sources, such as dating profiles or campus photos. The results showed that 6.3-10.5% of dating profiles and 38.18% of campus photos could be re-identified this way. The presentation concludes by discussing potential applications of these techniques in India.
Week 8.1 Profile Linking on Online Social Media
Privacy and Security in Online Social Media. Course on NPTEL. Week 8.1 Profile Linking on Online Social Media
News construction from microblogging posts using open data
This document proposes a method to automatically create searchable news articles from tweets by using linked open data to expand concepts, people, organizations, places, and actions mentioned in tweets. It involves determining the key details of tweets like who, what, where, when, why, and how, and using semantic information from linked open data sources like Wikipedia, DBpedia, and Virtuoso to annotate the tweets. An experiment analyzed 90 tweets on 3 topics, manually tagged the important terms, ran a process to automatically identify terms using linked open data, and compared the results, achieving a 76.36% precision rate. Future work is aimed at improving disambiguation and using a more complete set of linked open data to generate semantically annotated news
INFERENCE ATTACK ON BROWSING HISTORY OF TWITTER USERS USING PUBLIC CLICK ANAL...
TO GET THIS PROJECT COMPLETE SOURCE ON SUPPORT WITH EXECUTION PLEASE CALL BELOW CONTACT DETAILS
MOBILE: 9791938249, 0413-2211159, WEB: WWW.NEXGENPROJECT.COM,WWW.FINALYEAR-IEEEPROJECTS.COM, EMAIL:Praveen@nexgenproject.com
NEXGEN TECHNOLOGY provides total software solutions to its customers. Apsys works closely with the customers to identify their business processes for computerization and help them implement state-of-the-art solutions. By identifying and enhancing their processes through information technology solutions. NEXGEN TECHNOLOGY help it customers optimally use their resources.
Inference attack on browsing history of twitter users using public click anal...
This document proposes techniques to infer which shortened URLs Twitter users click on by analyzing publicly available information from Twitter and URL shortening services. It introduces attacks to determine which URLs target users click on by monitoring the tweets they see and comparing click analytics to user metadata. The attacks rely on profiling targets, monitoring followings' tweets for shortened URLs, and matching new click data to target profiles. The document also outlines the system architecture including profiling, monitoring, and matching modules.
Webinar: eCommerce Compliance - PCI meets GDPR
Webinar ran: Thu, May 31st, 2018 at 11 am PST
During this webinar, we explained how many of the PCI compliance standards for safe handling of payment card data are closely aligned with the data retention policies of the new GDPR regulations – from managing personal data, potential breach implications, and properly logging your systems.
Also, we shared some best practices and what to expect moving forward as it relates to data security.
How I Hacked The Government And Got Away With It
In this presentation I spoke about how I found an information disclosure vulnerability within a Federal CyberSecurity training website, was able to report it responsibly, and the issues that came up as I attempted to do so.
NTXISSACSC3 - How I hacked the Government and Got Away with It by Seven Hatfield
NTXISSACSC3 - How I hacked the Government and Got Away with It by Seven HatfieldNorth Texas Chapter of the ISSA
This document summarizes how the speaker hacked into a government training website and downloaded training videos without authentication. They describe their multiple unsuccessful attempts to report the vulnerability to the government via email, Twitter, and other means. The document suggests ways for the government to improve security, such as implementing a bug bounty program, conducting code audits, and having a vulnerability management program. It concludes that the government is currently unresponsive to security issues and that improvements are needed to address vulnerabilities.Google Analytics in the age of not provided Search Fest 2014
Tim Resnik discusses ways to leverage Google Analytics to gain insights from search engine traffic. He recommends sending topical data to Google Analytics through custom variables and dimensions. This allows grouping content in Google Analytics to see which topics or content performs best from search engine referrals. Resnik also provides examples of extracting metadata like categories or keywords from pages and passing this via tracking codes. Understanding the referral source and search query can provide context to optimize efforts and place strategic bets.
$1.00 per RT #BostonMarathon #PrayForBoston: Analyzing Fake Content on Twitter
Researchers analyzed the spread of fake content on Twitter during the 2013 Boston Marathon bombings. They found that over 7 million tweets were posted in the week after the attack, with fake rumors spreading rapidly in the first few hours. The researchers characterized the spread of rumors based on temporal patterns, user attributes, and networks of suspended accounts. They also developed a linear regression model to predict how viral a rumor might become based on the characteristics of early spreaders. The analysis provided insights into curbing the spread of misinformation during crisis events.
Effective Anti-Phishing Strategies and Exercises - FISSEA 2017 Conference
This presentation was given during the 30th Annual FISSEA Conference at NIST in Gaithersburg, MD.
Presenter: Hoala Greevy
Date: 19 June 2017
Digital Editors Network
The document discusses how social media and search engine optimization (SEO) intersect. It notes that getting links from social media sites like Digg can provide hundreds of backlinks. It also shows data on leading UK news sites' social media followings and traffic from social platforms. The document advocates building a social media culture among readers to attract them from these sites and create a snowball effect for more traffic. It provides tips for SEO like using short, shareable URLs and being first to publish on breaking news to get a boost from Google.
Anatomy of a Ransomware Attack - Paubox SECURE Conference 2017
Keynote speech by Paubox CEO Hoala Greevy on 2 November 2017 during Paubox SECURE Conference in San Francisco.
A little bird told me
Twitter continues to be an exciting platform for professional speakers to grow their speaking business and advance their public speaking career.
This presentation gives insight into social media generally and Twitter specifically and offers very practical advice for using the platform for building your personal brand as professional speaker.
Emerging Phishing Trends and Effectiveness of the Anti-Phishing Landing Page
Emerging Phishing Trends and Effectiveness of the Anti-Phishing Landing PageCybersecurity Education and Research Centre
Each month, more attacks are launched with the aim of making web users believe that they are communicating with a trusted entity which compels them to share their personal, financial information. Acquired sensitive information is then used for personal benefits, like, gain access to money of the individuals from whom the information was taken. Phishing costs Internet users billions of dollars every year. A recent report highlighted phishing loss of around $448 million to organizations in April 2014. Researchers at Carnegie Mellon University (CMU) created an anti-phishing landing page supported by Anti-Phishing Working Group (APWG) with the aim to train users on how to prevent themselves from phishing attacks. It is used by financial institutions, phish site take down vendors, government organizations, and online merchants. When a potential victim clicks on a phishing link that has been taken down, he / she is redirected to the landing page. In this paper, we present the comparative analysis on two datasets that we obtained from APWG’s landing page log files; one, from September 7, 2008 - November 11, 2009, and other from January 1, 2014 - April 30, 2014. We found that the landing page has been successful in training users against phishing. Forty six percent users clicked lesser number of phishing URLs from January 2014 to April 2014 which shows that training from the landing page helped users not to fall for phishing attacks. Our analysis shows that phishers have started to modify their techniques by creating more legitimate looking URLs and buying large number of domains to increase their activity. We observed that phishers are exploiting Internet Corporation for Assigned Names and Numbers (ICANN) accredited registrars to launch their attacks even after strict surveillance. We saw that phishers are trying to exploit free subdomain registration services to carry out attacks. In this paper, we also compared the phishing e-mails used by phishers to lure victims in 2008 and 2014. We found that the phishing e-mails have changed considerably over time. Phishers have adopted new techniques like sending promotional e-mails and emotionally
targeting users in clicking phishing URLs.DevSecOps - a 2 year journey of success & failure!
I've spent over 2 years at Skyscanner 'doing security stuff'. There have been lots of successes, but also some failure - here's a whistle-stop run-down!
Building a Security culture at Skyscanner 2016
This document summarizes the career and work experiences of Stu Hirst, currently the IT Security Manager and Squad Lead at Skyscanner. It discusses his background in mainframe programming and the music industry before moving into security. It then provides details about Skyscanner, including its growth from 30 to 800+ employees. The rest of the document outlines the security practices and initiatives implemented at Skyscanner over time, including two-factor authentication, user data standards, security training, bug bounty programs, and more. It discusses both successes and challenges, with an emphasis on building security into development processes from the start.
Facebook business
1. The document discusses the history and business model of Facebook, including how it generates revenue from advertisements and third party applications.
2. It analyzes Facebook's technology, including its use of the social graph to connect users and target ads, as well as its news feed and social plugins. It also compares Facebook to Google.
3. The future of Facebook is discussed, including how it aims to leverage network effects, link prediction, the open graph API, and timelines to continue growing its social network and target user interests. Privacy considerations are also mentioned.
If You Like Big Data & Getting Caught in the Rain... -- Techweek 2013 Chicago
As consumers immerse themselves deeper into a digital lifestyle—inclusive of mobile, tablet, and desktop—it has become evermore crucial for companies to find the right tool to reach modern, diverse audiences. When you can call upon focused insights about your consumer’s tastes and needs, you drive the highest possible conversion within the lowest threshold of time investment. An abundance of user data allows brands to find creative ways to meet consumers at the inception of interest. The future of big-data is here, and all the heavy hitters—social profile interpretation, machine learning, user behavior data, middleware processing technologies, and more—will be explored in this educational talk.
###
Ryan Unger is the Co-Founder and CTO of Punchkick Interactive, a full-service mobile marketing agency that has worked with more than a dozen of the Fortune 100.
Ryan has over 15 years of experience with programming and development and has dedicated the past seven almost exclusively to emerging and mobile technologies. Unger has spearheaded mobile efforts for many well-recognized brands including Harley-Davidson and GE.
He also has been at the forefront of mobile talent acquisition as chief strategist on award-winning mobile recruitment programs for leading brands like UPS and Microsoft.
Friends Don't Let Friends Browse Unencrypted: Running a VPN for friends and f...
The document discusses various options for helping non-technical friends and family browse the internet safely, such as using encryption and VPNs. It recommends browser extensions like Privacy Badger to block tracking, enabling two-factor authentication, and using a password manager. The document also discusses setting up a personal VPN using tools like Streisand or Algo that automate the process.
Privacy and Security in Online Social Media : Intro to OSM
The document discusses various online social media platforms and privacy/security issues. It provides an overview of social media and its growth in India. Key platforms covered include Facebook, Twitter, YouTube, Pinterest, LinkedIn, Foursquare, Google+, Periscope and Tinder. Each platform's features and functionality are briefly explained. The document concludes by noting perceptions of privacy and security issues in social media.
Privacy and Security in Online Social Media : Incidents
This document discusses privacy and security issues related to online social media. It mentions how social media played a role in global events like the UK riots and Hurricane Sandy by spreading fake images. It also notes there are implications to consider and provides takeaways from the first week along with links to online tutorials and the Precog Facebook page for more information.
Privacy and Security in Online Social Media : Policing and Social Media - Part 1
This document summarizes a course on privacy and security in online social media. It outlines topics that will be covered including an overview of online social media, tools like Linux, Python, APIs, and databases, and issues like trust, credibility, privacy, social network analysis, cybercrime, and identity resolution. It also discusses how police departments around the world are using social media for community outreach and to share information. Case studies of police presence on Facebook and Twitter in India, the US, and UK are presented.
Privacy and Security in Online Social Media : Policing and Social Media - Part 2
The document discusses using social media data from citizen posts to police to understand public concerns and provide actionable information. 1600 comments across 255 posts were analyzed. The analysis found that posts provided spatial and temporal data on citizen concerns. It also found that citizens communicated both formally and informally with police. Police response time averaged 30.53 hours. The analysis also examined direct vs indirect reports, victimization language, and how social media could enable mutual accountability between citizens and police.
Privacy and Security in Online Social Media : Intro to course
This document provides an introduction to an online course on privacy and security in online social media taught by Ponnurangam Kumaraguru. It outlines Kumaraguru's background and research interests in privacy, security, and data science related to online social media. It describes the course goals for students to understand privacy and security concerns on social media and analyze social media data. The document details assignments, online discussions, office hours, and course topics which will include hands-on experience with programming, social network analysis, and data visualization tools.
cyber security and impact on national security (3)
The document discusses cyber security challenges for Pakistan's national security. It highlights shortcomings in Pakistan's cyber security framework and policies. It outlines the essential elements needed for a comprehensive security framework, including strong leadership, clear policies and strategies, adequate funding and resources, and robust laws and enforcement. It also discusses the types of cyber attacks, targets, implications for national security, and challenges in responding to attacks.
General Awareness On Cyber Security
This is a presentation that I shared with a group of College students on Cyber Security.
This was part of the Cyber Safe Tamil Nadu 2009 program organized jointly by NASSCOM, DSCI and the Tamil Nadu police.
More Related Content
What's hot
Webinar: eCommerce Compliance - PCI meets GDPR
Webinar ran: Thu, May 31st, 2018 at 11 am PST
During this webinar, we explained how many of the PCI compliance standards for safe handling of payment card data are closely aligned with the data retention policies of the new GDPR regulations – from managing personal data, potential breach implications, and properly logging your systems.
Also, we shared some best practices and what to expect moving forward as it relates to data security.
How I Hacked The Government And Got Away With It
In this presentation I spoke about how I found an information disclosure vulnerability within a Federal CyberSecurity training website, was able to report it responsibly, and the issues that came up as I attempted to do so.
NTXISSACSC3 - How I hacked the Government and Got Away with It by Seven Hatfield
NTXISSACSC3 - How I hacked the Government and Got Away with It by Seven HatfieldNorth Texas Chapter of the ISSA
This document summarizes how the speaker hacked into a government training website and downloaded training videos without authentication. They describe their multiple unsuccessful attempts to report the vulnerability to the government via email, Twitter, and other means. The document suggests ways for the government to improve security, such as implementing a bug bounty program, conducting code audits, and having a vulnerability management program. It concludes that the government is currently unresponsive to security issues and that improvements are needed to address vulnerabilities.Google Analytics in the age of not provided Search Fest 2014
Tim Resnik discusses ways to leverage Google Analytics to gain insights from search engine traffic. He recommends sending topical data to Google Analytics through custom variables and dimensions. This allows grouping content in Google Analytics to see which topics or content performs best from search engine referrals. Resnik also provides examples of extracting metadata like categories or keywords from pages and passing this via tracking codes. Understanding the referral source and search query can provide context to optimize efforts and place strategic bets.
$1.00 per RT #BostonMarathon #PrayForBoston: Analyzing Fake Content on Twitter
Researchers analyzed the spread of fake content on Twitter during the 2013 Boston Marathon bombings. They found that over 7 million tweets were posted in the week after the attack, with fake rumors spreading rapidly in the first few hours. The researchers characterized the spread of rumors based on temporal patterns, user attributes, and networks of suspended accounts. They also developed a linear regression model to predict how viral a rumor might become based on the characteristics of early spreaders. The analysis provided insights into curbing the spread of misinformation during crisis events.
Effective Anti-Phishing Strategies and Exercises - FISSEA 2017 Conference
This presentation was given during the 30th Annual FISSEA Conference at NIST in Gaithersburg, MD.
Presenter: Hoala Greevy
Date: 19 June 2017
Digital Editors Network
The document discusses how social media and search engine optimization (SEO) intersect. It notes that getting links from social media sites like Digg can provide hundreds of backlinks. It also shows data on leading UK news sites' social media followings and traffic from social platforms. The document advocates building a social media culture among readers to attract them from these sites and create a snowball effect for more traffic. It provides tips for SEO like using short, shareable URLs and being first to publish on breaking news to get a boost from Google.
Anatomy of a Ransomware Attack - Paubox SECURE Conference 2017
Keynote speech by Paubox CEO Hoala Greevy on 2 November 2017 during Paubox SECURE Conference in San Francisco.
A little bird told me
Twitter continues to be an exciting platform for professional speakers to grow their speaking business and advance their public speaking career.
This presentation gives insight into social media generally and Twitter specifically and offers very practical advice for using the platform for building your personal brand as professional speaker.
Emerging Phishing Trends and Effectiveness of the Anti-Phishing Landing Page
Emerging Phishing Trends and Effectiveness of the Anti-Phishing Landing PageCybersecurity Education and Research Centre
Each month, more attacks are launched with the aim of making web users believe that they are communicating with a trusted entity which compels them to share their personal, financial information. Acquired sensitive information is then used for personal benefits, like, gain access to money of the individuals from whom the information was taken. Phishing costs Internet users billions of dollars every year. A recent report highlighted phishing loss of around $448 million to organizations in April 2014. Researchers at Carnegie Mellon University (CMU) created an anti-phishing landing page supported by Anti-Phishing Working Group (APWG) with the aim to train users on how to prevent themselves from phishing attacks. It is used by financial institutions, phish site take down vendors, government organizations, and online merchants. When a potential victim clicks on a phishing link that has been taken down, he / she is redirected to the landing page. In this paper, we present the comparative analysis on two datasets that we obtained from APWG’s landing page log files; one, from September 7, 2008 - November 11, 2009, and other from January 1, 2014 - April 30, 2014. We found that the landing page has been successful in training users against phishing. Forty six percent users clicked lesser number of phishing URLs from January 2014 to April 2014 which shows that training from the landing page helped users not to fall for phishing attacks. Our analysis shows that phishers have started to modify their techniques by creating more legitimate looking URLs and buying large number of domains to increase their activity. We observed that phishers are exploiting Internet Corporation for Assigned Names and Numbers (ICANN) accredited registrars to launch their attacks even after strict surveillance. We saw that phishers are trying to exploit free subdomain registration services to carry out attacks. In this paper, we also compared the phishing e-mails used by phishers to lure victims in 2008 and 2014. We found that the phishing e-mails have changed considerably over time. Phishers have adopted new techniques like sending promotional e-mails and emotionally
targeting users in clicking phishing URLs.DevSecOps - a 2 year journey of success & failure!
I've spent over 2 years at Skyscanner 'doing security stuff'. There have been lots of successes, but also some failure - here's a whistle-stop run-down!
Building a Security culture at Skyscanner 2016
This document summarizes the career and work experiences of Stu Hirst, currently the IT Security Manager and Squad Lead at Skyscanner. It discusses his background in mainframe programming and the music industry before moving into security. It then provides details about Skyscanner, including its growth from 30 to 800+ employees. The rest of the document outlines the security practices and initiatives implemented at Skyscanner over time, including two-factor authentication, user data standards, security training, bug bounty programs, and more. It discusses both successes and challenges, with an emphasis on building security into development processes from the start.
Facebook business
1. The document discusses the history and business model of Facebook, including how it generates revenue from advertisements and third party applications.
2. It analyzes Facebook's technology, including its use of the social graph to connect users and target ads, as well as its news feed and social plugins. It also compares Facebook to Google.
3. The future of Facebook is discussed, including how it aims to leverage network effects, link prediction, the open graph API, and timelines to continue growing its social network and target user interests. Privacy considerations are also mentioned.
If You Like Big Data & Getting Caught in the Rain... -- Techweek 2013 Chicago
As consumers immerse themselves deeper into a digital lifestyle—inclusive of mobile, tablet, and desktop—it has become evermore crucial for companies to find the right tool to reach modern, diverse audiences. When you can call upon focused insights about your consumer’s tastes and needs, you drive the highest possible conversion within the lowest threshold of time investment. An abundance of user data allows brands to find creative ways to meet consumers at the inception of interest. The future of big-data is here, and all the heavy hitters—social profile interpretation, machine learning, user behavior data, middleware processing technologies, and more—will be explored in this educational talk.
###
Ryan Unger is the Co-Founder and CTO of Punchkick Interactive, a full-service mobile marketing agency that has worked with more than a dozen of the Fortune 100.
Ryan has over 15 years of experience with programming and development and has dedicated the past seven almost exclusively to emerging and mobile technologies. Unger has spearheaded mobile efforts for many well-recognized brands including Harley-Davidson and GE.
He also has been at the forefront of mobile talent acquisition as chief strategist on award-winning mobile recruitment programs for leading brands like UPS and Microsoft.
Friends Don't Let Friends Browse Unencrypted: Running a VPN for friends and f...
The document discusses various options for helping non-technical friends and family browse the internet safely, such as using encryption and VPNs. It recommends browser extensions like Privacy Badger to block tracking, enabling two-factor authentication, and using a password manager. The document also discusses setting up a personal VPN using tools like Streisand or Algo that automate the process.
What's hot (15)
NTXISSACSC3 - How I hacked the Government and Got Away with It by Seven Hatfield
NTXISSACSC3 - How I hacked the Government and Got Away with It by Seven Hatfield
Google Analytics in the age of not provided Search Fest 2014
Google Analytics in the age of not provided Search Fest 2014
$1.00 per RT #BostonMarathon #PrayForBoston: Analyzing Fake Content on Twitter
$1.00 per RT #BostonMarathon #PrayForBoston: Analyzing Fake Content on Twitter
Effective Anti-Phishing Strategies and Exercises - FISSEA 2017 Conference
Effective Anti-Phishing Strategies and Exercises - FISSEA 2017 Conference
Anatomy of a Ransomware Attack - Paubox SECURE Conference 2017
Anatomy of a Ransomware Attack - Paubox SECURE Conference 2017
Emerging Phishing Trends and Effectiveness of the Anti-Phishing Landing Page
Emerging Phishing Trends and Effectiveness of the Anti-Phishing Landing Page
DevSecOps - a 2 year journey of success & failure!
DevSecOps - a 2 year journey of success & failure!
If You Like Big Data & Getting Caught in the Rain... -- Techweek 2013 Chicago
If You Like Big Data & Getting Caught in the Rain... -- Techweek 2013 Chicago
Friends Don't Let Friends Browse Unencrypted: Running a VPN for friends and f...
Friends Don't Let Friends Browse Unencrypted: Running a VPN for friends and f...
Viewers also liked
Privacy and Security in Online Social Media : Intro to OSM
The document discusses various online social media platforms and privacy/security issues. It provides an overview of social media and its growth in India. Key platforms covered include Facebook, Twitter, YouTube, Pinterest, LinkedIn, Foursquare, Google+, Periscope and Tinder. Each platform's features and functionality are briefly explained. The document concludes by noting perceptions of privacy and security issues in social media.
Privacy and Security in Online Social Media : Incidents
This document discusses privacy and security issues related to online social media. It mentions how social media played a role in global events like the UK riots and Hurricane Sandy by spreading fake images. It also notes there are implications to consider and provides takeaways from the first week along with links to online tutorials and the Precog Facebook page for more information.
Privacy and Security in Online Social Media : Policing and Social Media - Part 1
This document summarizes a course on privacy and security in online social media. It outlines topics that will be covered including an overview of online social media, tools like Linux, Python, APIs, and databases, and issues like trust, credibility, privacy, social network analysis, cybercrime, and identity resolution. It also discusses how police departments around the world are using social media for community outreach and to share information. Case studies of police presence on Facebook and Twitter in India, the US, and UK are presented.
Privacy and Security in Online Social Media : Policing and Social Media - Part 2
The document discusses using social media data from citizen posts to police to understand public concerns and provide actionable information. 1600 comments across 255 posts were analyzed. The analysis found that posts provided spatial and temporal data on citizen concerns. It also found that citizens communicated both formally and informally with police. Police response time averaged 30.53 hours. The analysis also examined direct vs indirect reports, victimization language, and how social media could enable mutual accountability between citizens and police.
Privacy and Security in Online Social Media : Intro to course
This document provides an introduction to an online course on privacy and security in online social media taught by Ponnurangam Kumaraguru. It outlines Kumaraguru's background and research interests in privacy, security, and data science related to online social media. It describes the course goals for students to understand privacy and security concerns on social media and analyze social media data. The document details assignments, online discussions, office hours, and course topics which will include hands-on experience with programming, social network analysis, and data visualization tools.
cyber security and impact on national security (3)
The document discusses cyber security challenges for Pakistan's national security. It highlights shortcomings in Pakistan's cyber security framework and policies. It outlines the essential elements needed for a comprehensive security framework, including strong leadership, clear policies and strategies, adequate funding and resources, and robust laws and enforcement. It also discusses the types of cyber attacks, targets, implications for national security, and challenges in responding to attacks.
General Awareness On Cyber Security
This is a presentation that I shared with a group of College students on Cyber Security.
This was part of the Cyber Safe Tamil Nadu 2009 program organized jointly by NASSCOM, DSCI and the Tamil Nadu police.
Social Media Cyber Security Awareness Briefing
The document is a briefing from the Department of State's Bureau of Diplomatic Security about social networking cyber security awareness. It discusses what social networking is, security concerns with social networking, examples of security issues in the news, and provides guidance on how to protect the Department and oneself while using social networking. The briefing covers topics like maintaining privacy settings, securing accounts, avoiding phishing attacks, and being aware of what is posted online.
Viewers also liked (8)
Privacy and Security in Online Social Media : Intro to OSM
Privacy and Security in Online Social Media : Intro to OSM
Privacy and Security in Online Social Media : Incidents
Privacy and Security in Online Social Media : Incidents
Privacy and Security in Online Social Media : Policing and Social Media - Part 1
Privacy and Security in Online Social Media : Policing and Social Media - Part 1
Privacy and Security in Online Social Media : Policing and Social Media - Part 2
Privacy and Security in Online Social Media : Policing and Social Media - Part 2
Privacy and Security in Online Social Media : Intro to course
Privacy and Security in Online Social Media : Intro to course
cyber security and impact on national security (3)
cyber security and impact on national security (3)
Similar to Week 8.2 Anonymous Networks
Week 7.2 Nudges
The document summarizes an experiment on providing nudges to help people avoid regrettable online disclosures on social media. The experiment tested picture, timer, and sentiment nudges. The picture nudge reminded people how many others could see their post. This led one person to change their privacy settings and another to cancel posts. The timer nudge made people think more about their posts, leading some to cancel posts. The sentiment nudge was less effective as it sometimes misinterpreted sentiment. Overall, the nudges were found to help people make better privacy decisions but more work is needed to understand how different nudges work in different contexts.
Graph Gurus Episode 6: Community Detection
This document summarizes Graph Gurus Episode 6 which discusses community detection algorithms for graphs. The episode introduces community detection and explains that communities can emerge naturally in networks like human relationships or protein interactions, or can be engineered like congressional committees. It then demonstrates how to find influential providers and their communities in a healthcare referral network using community detection algorithms like label propagation and modularity optimization. These algorithms are implemented as GSQL queries in TigerGraph's graph algorithm library. Finally, the episode applies the connected components algorithm to the Zachary's Karate Club network.
Fessup Investor Deck
Fessup is a proposed anonymous social media app that aims to provide a central forum for communities like universities to have open discussions. It offers text-based therapy and focuses on addressing issues like loneliness, depression from social media use, and barriers to traditional therapy. The document outlines Fessup's solution of providing an anonymous yet authentic community space. It covers the app's potential features, metrics, team, market opportunities, monetization strategies and financial projections. The goal is to eventually reach millions of users and expand internationally. Competing apps lack features like real-time community chat and authentication of users.
User Interests Identification From Twitter using Hierarchical Knowledge Base
User Interests Identification From Twitter using Hierarchical Knowledge BaseArtificial Intelligence Institute at UofSC
Pavan Kapanipathi, Prateek Jain, Chitra Venkataramani, Amit Sheth, User Interests Identification on Twitter Using a Hierarchical Knowledge Base, ESWC 2014, May 2014.
Paper at: http://j.mp/user-ig
More at: http://wiki.knoesis.org/index.php/Hierarchical_Interest_Graph
Slide deck: High Speed and Secure: The Future of Cryptocurrency Exchanges
Full webinar here: https://www.brighttalk.com/webcast/17700/369764?utm_source=Unbound+Tech&utm_medium=brighttalk&utm_campaign=369764
Management and analysis of social media data
This document discusses social media data analysis based on a case study of Sina Weibo data. It outlines collecting data through a distributed crawler, modeling the spread of tweets using sigmoid functions, and developing a schema to manage the user, tweet, retweet and followship network data. Queries are proposed to analyze trends, influential users and communities. Ongoing work includes developing a social media data generator for benchmarking, analyzing collective behavior and mood over time, and creating a shared dataset of trending topics on Sina Weibo.
Modeling Online User Interactions and their Offline effects on Socio-Technica...
Do online interactions trigger reactions back in the offline world? How can these reactions be detected and quantified? Specifically, what insights can be extracted for users, platform owners, and policymakers to minimize the potential harm of such reactions?
Society functions based on the complex interactions between individuals, communities, and organizations. The advent of the Internet has enabled these interactions to move online. A website or an application that facilitates the digitization of social interactions is called a socio-technical platform. For instance, individuals converse with each other via direct messaging applications (e.g., WhatsApp, Telegram), share thoughts, and gather feedback from communities (e.g., Reddit, Twitter, Youtube). Trade of goods occurs via e-commerce (e.g., Flipkart, Amazon) and online marketplaces (e.g., Google Play store). At times interactions happening in the online world, trigger reactions in the offline world, which we call overflow. Such overflows can have either a positive or negative impact. Socio-technical platforms save every interaction and associated metadata, providing a unique opportunity to analyze rich data at scale. Discover interaction patterns, detect and quantify overflow of interactions, and extract insights for users and policymakers.
This report aims to study the interactions by keeping the individual as the focal point. We focus on two broad forms of interactions - i) the effect online community feedback can have on individual offline actions and ii) organizations leveraging individual customers' online presence to optimize business processes. In the first part, we work on two scenarios - (a) How does community feedback affect an individual future drug consumption frequency in a drug community forum? and (b) What changes does an individual undergo immediately after getting sudden popularity in Online social media? What actions help in maintaining popularity for longer? In the second part, we leverage online information about a customer to improve the prediction of Return-to-Origin in the e-commerce platform.
Cryptocurrency Trading Guide: "Trading the Decentralization of the Financial ...
Cryptocurrency Trading Guide: "Trading the Decentralization of the Financial ...George Protonotarios
This document provides an introduction to cryptocurrencies and decentralized finance. It discusses the history of cryptocurrency beginning in the 1980s and outlines important developments like Bitcoin and Ethereum. It also defines key terms like blockchain, smart contracts, tokens, and initial coin offerings. The document is intended to help beginner and advanced cryptocurrency traders understand the market dynamics that influence cryptocurrency prices.Ethereum Sentiment Research Spotlight Study
CoinDesk’s Ethereum Sentiment Research Spotlight Study is our inaugural research coverage of Ethereum. It takes a deeper dive into the past few months for the Ethereum and polled 240+ startup execs and enterprise blockchain leads to assess the impact of the DAO hack and subsequent hard fork.
You'll be able to read analysis of the key trends in this article: http://coindesk.com/coindesk-research-spotlight-study-q3-ethereum-hard-fork
To read the full Q3 2016 State of Blockchain report, please go here:
http://www.coindesk.com/research/state-of-blockchain-q3-2016/
We'd appreciate feedback on our research:
https://www.surveymonkey.co.uk/r/6W6WHST
Outreach Through Social Media | Ocean Sciences 2014
My presentation at Ocean Sciences 2014 in Honolulu, HI on how scientists can use social media for outreach and professional development. The internet is yours! #OSMSocial #2014OSM
The fragility of twitter social networks against suspended users
Summary of "The fragility of twitter social networks against suspended users" article.
https://www.cs.cmu.edu/~weiwei/papers/asonam15.pdf
Inner Source: Enterprise Lessons from the Open Source Community.
Slides from my Inner Sourcing talk from ApacheCon NA 2016. Inner Sourcing is using the methods and techniques of successful open source projects inside Enterprise IT.
How to create social media accounts
Learn how to set up a blog, Twitter and Facebook account for use by your organization. Don't make our mistakes.
A Look Into Blockchain: Koombea TechTalks
This deck was presented as part of a company initiative, #TechTalks, aimed to provide a space for the sharing and exploration of topics of interest in the industry.
Presented by: Zayter Munive, QA Analyst
Human Centering Your Association and the Rise of Microinteractions
The document discusses human-centered design and microinteractions. It begins with an overview of human-centered design practices and concepts. It then explains what microinteractions are, how they fit into human-centered design, and examples of microinteraction elements like triggers, rules, feedback, and loops/modes. The document uses a case study of a user named Chris J. to demonstrate how human-centered design and microinteractions can be applied. It provides industry examples of microinteractions and discusses best practices for designing microinteractions.
2014 social media ins out pt 2 denis masseni
This document provides an overview of key concepts for developing an effective social media program, including examples and case studies. It discusses the social media ecosystem model, engagement metrics from Ford's viral marketing campaign, and factors that influence user engagement like content type, frequency, and time of day posted. The document also addresses measuring return on investment, analyzing social media disasters, and outlines the targets and resources of a hypothetical company called The Greater Group for building their social media program.
presentation
This document discusses extracting health-related social structures from conversations on Twitter. It collected over 12.5 million tweets over 60 days mentioning 13 major causes of death in the US. After filtering for geolocation and only including tweets from the US, there were over 2.3 million tweets. Networks were generated linking users who mentioned the same health conditions within different time windows. The networks were analyzed based on degree distribution, average path length, and clustering coefficient to determine if they exhibited properties of scale-free or small-world networks. Only 2.3% of networks showed power-law degree distributions, but most had high clustering, indicating small-world properties. Networks with 1-hour time windows tended to have lower path lengths. The
ICWE 2017: Recruiting from the network
This paper presents a technique for identifying influential Twitter users who can help spread information about combating disease epidemics like Zika. An offline model is trained on labeled tweets to classify relevant tweets. An online system then ranks Twitter users based on metrics like topic focus and overall focus that measure how many of a user's tweets are relevant. The top ranked users may be engaged to help increase the effectiveness of health campaigns by leveraging real-time social media streams. Preliminary results found some success in identifying influential users but also limitations of using only topological metrics like TwitterRank.
AAMAS-2017 8-12 May, 2017, Sao Paulo, Brazil
Tim Baarslag, Alper Alan, Richard Gomer, Muddasser Alam, Charith Perera, Enrico Gerding and M.C. Schraefel, An Automated Negotiation Agent for Permission Management, Proceedings of the 16th International Conference on Autonomous Agents and Multi-agent Systems (AAMAS-2017) Sao Paulo, Brazil, May, 2017, Pages 380-390 (10).
InnerSource: Enterprise Lessons from Open Source
Jim Jagielski discusses the concept of "Inner Sourcing", which involves applying principles and techniques from open source software development within corporate IT organizations. Some key principles discussed include transparency, collaboration, community, and meritocracy. Techniques for implementing Inner Sourcing include using tools that enable communication, collaboration and open development. Challenges that must be overcome include resistance to change, properly rewarding merit, maintaining business focus and accountability. Overall, Inner Sourcing aims to improve efficiency, speed, costs and talent through more open and collaborative development practices.
Similar to Week 8.2 Anonymous Networks (20)
User Interests Identification From Twitter using Hierarchical Knowledge Base
User Interests Identification From Twitter using Hierarchical Knowledge Base
Slide deck: High Speed and Secure: The Future of Cryptocurrency Exchanges
Slide deck: High Speed and Secure: The Future of Cryptocurrency Exchanges
Modeling Online User Interactions and their Offline effects on Socio-Technica...
Modeling Online User Interactions and their Offline effects on Socio-Technica...
Cryptocurrency Trading Guide: "Trading the Decentralization of the Financial ...
Cryptocurrency Trading Guide: "Trading the Decentralization of the Financial ...
Outreach Through Social Media | Ocean Sciences 2014
Outreach Through Social Media | Ocean Sciences 2014
The fragility of twitter social networks against suspended users
The fragility of twitter social networks against suspended users
Inner Source: Enterprise Lessons from the Open Source Community.
Inner Source: Enterprise Lessons from the Open Source Community.
Human Centering Your Association and the Rise of Microinteractions
Human Centering Your Association and the Rise of Microinteractions
More from IIIT Hyderabad
Responsible & Safe AI Systems at ACM India ROCS at IIT Bombay
This document discusses responsible and safe artificial intelligence. It summarizes PK's work on developing context-aware models to reduce bias in large language models and techniques for removing harmful knowledge from models. The talk outlines issues like inconsistency in models, bias indicators, and corrective machine unlearning. It encourages collaborating to advance this important research and addresses building more accountability as models grow more powerful.
International Collaboration: Experiences, Challenges, Success stories
This document discusses strategies for successful international collaboration, including maintaining an active website, pursuing joint grant proposals, student exchanges through co-advising and visits, organizing workshops together, and publishing joint papers. It emphasizes finding connections through one's existing network to avoid cold emails, and developing equal partnerships.
Responsible & Safe AI: #LegalBias #Inconsistency #BiasinLLMs #MultiModalBias
The document summarizes a workshop on responsible and safe AI held at IIT Madras. It discusses topics like legal bias and inconsistency in large language models, bias in AI systems, and approaches to make models more interpretable and remove harmful knowledge. Live demonstrations of ChatGPT were shown to illustrate issues like factual inconsistencies and how context is needed to avoid confusion. Overall, the workshop highlighted challenges with AI systems and ongoing research efforts to address issues like bias, lack of context, and removal of harmful information.
Identify, Inspect and Intervene Multimodal Fake News
Fake news refers to intentionally and verifiably false stories created to manipulate people’s perceptions of reality.
The concept of fake news is not new and has marked its presence dating back to AD 1475, affecting the citizens of Italy on eastern Sunday to the COVID-19 pandemic in 2020. Fake news has gained traction among audiences, created a buzz online, and faced repercussions offline. For instance, intruding hyperbolized fake articles into political campaigns or health and climate studies is havoc. In addition, the proliferation of fabricated stories has played a crucial role in inflaming or suppressing a social event. In conclusion, fake news is destructive and can lead to hatred against religion, politics, celebrities or organizations, resulting in riots/protests or even death.
The massive growth in the proliferation of fake news online might result from numerous technological advancements. Fake news seems to be the permanent reality, with social media being a primary conduit for its creation and dissemination. Despite the difficulty in identifying, tracking, and controlling unreliable content, there must be an effort to halt its expansion. Our research endeavors contribute to tackling various aspects of fake news, encompassing identification, inspection, and intervention. The premise of our thesis is firmly placed at the point where we analyze multiple facets of user-generated content produced online in the form of text and visuals to investigate the field of fake news.
First, we focus on devising different methods to Identify, a.k.a. detect fake news online, by extracting different feature sets from the given information. By designing foundational detection mechanisms, our work accelerates research innovations. Second, our research closely Inspects the fake stories from two perspectives. First, from the information point of view, one can inspect fabricated content to identify the patterns of false reports disseminating over the web, the modality used to create the fabricated content and the platform used for dissemination. Next, from the model point of view, we inspect detection mechanisms used in prior work and their generalizability to other datasets. The thesis also suggests Intervention techniques to help internet users broaden their comprehension of fake news. We discuss potential practical implications for social media platform owners and policymakers.
#ChatGPT #ResponsibleAI
Prompt engineering, Fine tuning, Indian languages, Code Mixing, Hallucination, Responsible AI, Facts, Writing email, Writing code, Breaking rules, Bias with #ChatGPT
Data Science for Social Good: #MentalHealth #CodeMix #LegalNLP #AISafety
Discuss work on using technology for Judiciary, Lawyers, etc. Analyse social media data, music listening habits for mental health. Bias and Safety in AI Systems.
Papers are available at https://precog.iiit.ac.in/pages/publications.html
It is our choices, Harry, that show what we truly are, far more than our abil...
This document appears to be the transcript from a B.Tech orientation presentation given by Ponnurangam Kumaraguru at IIIT Hyderabad. The presentation provides advice and encouragement to new students on managing their time at IIIT Hyderabad. It emphasizes making friends, trying new activities and clubs, controlling wants and FOMO, celebrating failures, and using social media to connect with others in a positive way. References are made to movies to illustrate points about perseverance, finding passion, and having a growth mindset during the transition to university life.
Beyond the Surface: A Computational Exploration of Linguistic Ambiguity
We investigate two specific forms of linguistic ambiguities - polysemy, which is the multiplicity of meanings for a specific word, and tautology, which are seemingly uninformative and ambiguous phrases used in conversations. Both phenomena are widely-known manifestations of linguistic ambiguity at the lexical and pragmatic level, respectively.
The first part of the thesis focuses on addressing this challenge by proposing a new method for quantifying the degree of polysemy in words, which refers to the number of distinct meanings that a word can have. The proposed approach is a novel, unsupervised framework to compute and estimate polysemy scores for words in multiple languages, infusing syntactic knowledge in the form of dependency structures. The proposed framework is tested on curated datasets controlling for different sense distributions of words in three typologically diverse languages - English, French, and Spanish. The framework leverages contextual language models and syntactic structures to empirically support the widely held theoretical linguistic notion that syntax is intricately linked to ambiguity/polysemy.
The second part of the thesis explores how language models handle colloquial tautologies, a type of redundancy commonly used in conversational speech. We first present a dataset of colloquial tautologies and evaluate several state-of-the-art language models on this dataset using perplexity scores. We conduct probing experiments while controlling for the noun type, context and form of tautologies. The results reveal that BERT and GPT2 perform better with modal forms and human nouns, which aligns with previous literature and human intuition.
Data Science for Social Good: #LegalNLP #AlgorithmicBias...
Talk describes legal NLP idea discusses the following papers:
HLDC: Hindi Legal Documents Corpus https://precog.iiit.ac.in/pubs/HLDC_ACL_2022.pdf
Drug consumption: https://precog.iiit.ac.in/pubs/Effect_oF_Feedback_on_Drug_Consumption_Disclosures_on_Social_Media___ICWSM2023___16Sept1730hrs.pdf
How to Write a (Good) Research Paper
This document provides tips for writing a good research paper. It discusses selecting an appropriate topic and audience, developing an outline, writing drafts for feedback, choosing a descriptive title, writing a literature review, crafting an introduction, including figures and tables, addressing reviewer comments, avoiding plagiarism, and acknowledging collaborators. The goal is to write papers that clearly communicate research and can be improved based on feedback from others.
Data Science for Social Good: #LegalNLP #AlgorithmicBias
This document summarizes research on evaluating algorithmic bias in models trained on Hindi legal documents. The researchers collected a dataset of 900k legal documents from Uttar Pradesh courts in Hindi. They trained a bail prediction model on this data and evaluated it for demographic parity bias related to religious attributes. The results showed the model predictions changed more when replacing Hindu names with Muslim names compared to the reverse, indicating a potential bias against Muslims. Overall, the study highlights the need to evaluate models trained on real-world legal data for fairness to avoid perpetuating societal biases.
Social Computing Research in India
I discussed our work on #LegalAI #CodeMixing #FakeNews #Elections and other cool projects that we are currently working on at https://precog.iiit.ac.in/
Social Computing Research in India
The document discusses social computing research in India, focusing on legal AI and natural language processing applications. It summarizes work analyzing over 900,000 Hindi legal documents from district courts in Uttar Pradesh. Models were developed for tasks like bail prediction and legal document summarization. The research also addresses challenges in processing code-mixed text and fact-checking social media. Overall, the document outlines current research areas and opportunities in social computing for Indian contexts and languages, and provides contact information for those interested in the work.
Privacy. Winter School on “Topics in Digital Trust”. IIT Bombay
The document provides an overview of privacy concepts including definitions of privacy, forms of privacy, social media privacy, data anonymity, and ethics around studying privacy. It discusses Westin's four states of privacy (solitude, intimacy, anonymity, reserve) and Solove's taxonomy of privacy harms. It also covers Westin's privacy indexes, privacy studies conducted in India, OECD and FTC privacy principles, and the costs of reading privacy policies.
The document then discusses privacy enhancing technologies like communication anonymizers, shared bogus online accounts, obfuscation, and anonymization. Examples of privacy invasive technologies like spyware and RFID are also provided. Privacy decision making frameworks like Platform for Privacy Preferences (P3P)
It is our choices, Harry, that show what we truly are, far more than our abil...
The document provides advice and guidance for students transitioning to campus life from PK, a professor at IIIT Hyderabad. It includes quotes and links related to time management, pursuing interests, controlling wants and FOMO, exploring options before deciding on majors, aiming high while making consistent small progress, and asking for help when needed. The document acknowledges students who provided inputs and the knowledge gained from others to help with advising students.
It is our choices, Harry, that show what we truly are, far more than our abil...
The document is a transcript of a talk given by PK to B.Tech orientation students at IIIT Hyderabad. Some key points from the talk include:
- Encouraging students to make friends, participate in clubs and extracurricular activities.
- Emphasizing time management and not missing out on opportunities in the first two semesters.
- Advising students to explore different projects and areas before deciding on a focus or specialization.
- Noting that managing courses, social life, hobbies and more will be challenging but important during their time at IIIT.
Leveraging Social Media for Financial Advice
Talk covering our work on NFT https://cdn.iiit.ac.in/cdn/precog.iiit.ac.in/pubs/Finweb_WWW_2022.pdf and ESG. Connecting social media for Fintech.
Development of Stress Induction and Detection System to Study its Effect on B...
Stress has become a significant mental health problem of the 21st century. The number of people suffering from stress is increasing rapidly. Thus, easy-to-use, inexpensive, and accurate biomarkers are needed to detect stress during its inception. Early detection of stress-related diseases allows people to access healthcare services. This thesis focuses on the development of stress stimuli and the detection of stress induced by these stimuli. Identifying brain regions affected while exposing the subject to these stressful stimuli has also been done. Three different stimuli, viz. videos, gamified application, and a game, are investigated to study their effect as stress induction stimuli. To this end, in this thesis, a system is proposed to classify participants into stressed and non-stressed categories using machine learning, deep learning, and statistical techniques. The statistical significance between stressed and non-stressed was found using Higuchi Fractal Dimensions (HFD) feature extracted from EEG. This feature also helped identify the brain’s most affected region due to stress. Another outcome of this thesis is the extra annotation of the ground truth which further helps to validate the participant’s experience under the influence of stressful stimuli. This annotation was performed by evaluating participant performance under time pressure. In addition, a technique based on in-game analytics is presented to complement the betterment of self-reported data. Further, another dimension utilizing signatures from WiFi Media Access Control (MAC) layer traffic is presented to detect stress indicators in a device-agnostic way.
A Framework for Automatic Question Answering in Indian Languages
The distribution of research efforts done in the field of Natural Language
Processing (NLP) has not been uniform across all natural languages. It has
been observed that there is a significant gap between the development of
NLP tools in Indic languages (indic-NLP), and in European languages. We
aim to explore different directions to develop an automatic question answering system for Indic languages. We built a FAQ-retrieval based chatbot for
healthcare workers and young mothers of India. It supported Hindi language in either Devanagri script or Roman script. We observed that, in our
FAQ database, if there exists a question similar to the query asked by the
user, then the developed chatbot is able to find a relevant Question-Answer
pair (QnA) among its top-3 suggestions 70% of the time. We also observed
that performance of our chatbot is dependent on the diversity in the FAQ
database. Since database creation requires substantial manual efforts, we decided to explore other ways to curate knowledge from raw text irrespective
of domain.
We developed an Open Information Extraction (OIE) tool for Indic languages. During the preprocessing, chunking of text is performed with our
fine-tuned chunker, and the phrase-level dependency tree was constructed
using the predicted chunks. In order to generate triples, various rules were
handcrafted using the dependency relations in Indic languages. Our method
performed better than other multilingual OIE tools on manual and automatic evaluations. The contextual embeddings used in this work does not
take syntactic structure of sentence into consideration. Hence, we devised
an architecture that takes the dependency tree of the sentence into consideration to calculate Dependency-aware Transformer (DaT) embeddings.
Since the dependency tree is also a graph, we used Graph Convolution
Network (GCN) to incorporate the dependency information into the contextual embeddings, thus producing DaT embeddings. We used a hate-speech
detection task to evaluate the effectiveness of DaT embeddings. Our future
plan is to evaluate the applicability of DaT embeddings for the task of chunking. Moreover, the broader aim for the future is to develop an end-to-end
pronoun resolution model to improve the quality of triples and DaT embeddings. We also aim to explore the applicability of all our works to solve the
problem of long-context question answering.
A Framework For Automatic Question Answering in Indian Languages
The distribution of research efforts done in the field of Natural Language Processing (NLP) has not been uniform across all natural languages. It has been observed that there is a significant gap between the development of NLP tools in Indic languages (indic-NLP), and in European languages. We aim to explore different directions to develop an automatic question answering system for Indic languages. We built a FAQ-retrieval based chatbot for healthcare workers and young mothers of India. It supported Hindi language in either Devanagri script or Roman script. We observed that, in our FAQ database, if there exists a question similar to the query asked by the user, then the developed chatbot is able to find a relevant Question-Answer pair (QnA) among its top-3 suggestions 70\% of the time. We also observed that performance of our chatbot is dependent on the diversity in the FAQ database. Since database creation requires substantial manual efforts, we decided to explore other ways to curate knowledge from raw text irrespective of domain.
We developed an Open Information Extraction (OIE) tool for Indic languages. During the preprocessing, chunking of text is performed with our fine-tuned chunker, and the phrase-level dependency tree was constructed using the predicted chunks. In order to generate structured triples, various rules were handcrafted using the dependency relations in Indic languages. Our method performed better than other multilingual OIE tools on manual and automatic evaluations. The contextual embeddings used in this work does not take syntactic structure of sentence into consideration. Hence, we devised an architecture that takes the dependency tree of the sentence into consideration to calculate Dependency-aware Transformer (DaT) embeddings.
Since the dependency tree is also a graph, we used Graph Convolution Network (GCN) to incorporate the dependency information into the contextual embeddings, thus producing DaT embeddings. We used a hate-speech detection task to evaluate the effectiveness of DaT embeddings. Our future plan is to evaluate the applicability of DaT embeddings for the task of chunking. Moreover, the broader aim for the future is to develop an end-to-end pronoun resolution model to improve the quality of triples and DaT embeddings. We also aim to explore the applicability of all our works to solve the problem of long-context question answering.
The distribution of research efforts done in the field of Natural Language Processing (NLP) has not been uniform across all natural languages. It has been observed that there is a significant gap between the development of NLP tools in Indic languages (indic-NLP), and in European languages. We aim to explore different directions to develop an automatic question answering system for Indic languages. We built a FAQ-retrieval based chatbot for healthcare workers and young mothers of India. It supported Hindi language in either Devanagri script or Roman script.
More from IIIT Hyderabad (20)
Responsible & Safe AI Systems at ACM India ROCS at IIT Bombay
Responsible & Safe AI Systems at ACM India ROCS at IIT Bombay
International Collaboration: Experiences, Challenges, Success stories
International Collaboration: Experiences, Challenges, Success stories
Responsible & Safe AI: #LegalBias #Inconsistency #BiasinLLMs #MultiModalBias
Responsible & Safe AI: #LegalBias #Inconsistency #BiasinLLMs #MultiModalBias
Identify, Inspect and Intervene Multimodal Fake News
Identify, Inspect and Intervene Multimodal Fake News
Data Science for Social Good: #MentalHealth #CodeMix #LegalNLP #AISafety
Data Science for Social Good: #MentalHealth #CodeMix #LegalNLP #AISafety
It is our choices, Harry, that show what we truly are, far more than our abil...
It is our choices, Harry, that show what we truly are, far more than our abil...
Beyond the Surface: A Computational Exploration of Linguistic Ambiguity
Beyond the Surface: A Computational Exploration of Linguistic Ambiguity
Data Science for Social Good: #LegalNLP #AlgorithmicBias...
Data Science for Social Good: #LegalNLP #AlgorithmicBias...
Data Science for Social Good: #LegalNLP #AlgorithmicBias
Data Science for Social Good: #LegalNLP #AlgorithmicBias
Privacy. Winter School on “Topics in Digital Trust”. IIT Bombay
Privacy. Winter School on “Topics in Digital Trust”. IIT Bombay
It is our choices, Harry, that show what we truly are, far more than our abil...
It is our choices, Harry, that show what we truly are, far more than our abil...
It is our choices, Harry, that show what we truly are, far more than our abil...
It is our choices, Harry, that show what we truly are, far more than our abil...
Development of Stress Induction and Detection System to Study its Effect on B...
Development of Stress Induction and Detection System to Study its Effect on B...
A Framework for Automatic Question Answering in Indian Languages
A Framework for Automatic Question Answering in Indian Languages
A Framework For Automatic Question Answering in Indian Languages
A Framework For Automatic Question Answering in Indian Languages
Recently uploaded
一比一原版(UCSF文凭证书)旧金山分校毕业证如何办理
毕业原版【微信:176555708】【(UCSF毕业证书)旧金山分校毕业证】【微信:176555708】成绩单、外壳、offer、留信学历认证（永久存档真实可查）采用学校原版纸张、特殊工艺完全按照原版一比一制作（包括：隐形水印，阴影底纹，钢印LOGO烫金烫银，LOGO烫金烫银复合重叠，文字图案浮雕，激光镭射，紫外荧光，温感，复印防伪）行业标杆！精益求精，诚心合作，真诚制作！多年品质 ,按需精细制作，24小时接单,全套进口原装设备，十五年致力于帮助留学生解决难题，业务范围有加拿大、英国、澳洲、韩国、美国、新加坡，新西兰等学历材料，包您满意。
【我们承诺采用的是学校原版纸张（纸质、底色、纹路），我们拥有全套进口原装设备，特殊工艺都是采用不同机器制作，仿真度基本可以达到100%，所有工艺效果都可提前给客户展示，不满意可以根据客户要求进行调整，直到满意为止！】
【业务选择办理准则】
一、工作未确定，回国需先给父母、亲戚朋友看下文凭的情况，办理一份就读学校的毕业证【微信176555708】文凭即可
二、回国进私企、外企、自己做生意的情况，这些单位是不查询毕业证真伪的，而且国内没有渠道去查询国外文凭的真假，也不需要提供真实教育部认证。鉴于此，办理一份毕业证【微信176555708】即可
三、进国企，银行，事业单位，考公务员等等，这些单位是必需要提供真实教育部认证的，办理教育部认证所需资料众多且烦琐，所有材料您都必须提供原件，我们凭借丰富的经验，快捷的绿色通道帮您快速整合材料，让您少走弯路。
留信网认证的作用:
1:该专业认证可证明留学生真实身份
2:同时对留学生所学专业登记给予评定
3:国家专业人才认证中心颁发入库证书
4:这个认证书并且可以归档倒地方
5:凡事获得留信网入网的信息将会逐步更新到个人身份内，将在公安局网内查询个人身份证信息后，同步读取人才网入库信息
6:个人职称评审加20分
7:个人信誉贷款加10分
8:在国家人才网主办的国家网络招聘大会中纳入资料，供国家高端企业选择人才
留信网服务项目：
1、留学生专业人才库服务（留信分析）
2、国（境）学习人员提供就业推荐信服务
3、留学人员区块链存储服务
→ 【关于价格问题（保证一手价格）】
我们所定的价格是非常合理的，而且我们现在做得单子大多数都是代理和回头客户介绍的所以一般现在有新的单子 我给客户的都是第一手的代理价格，因为我想坦诚对待大家 不想跟大家在价格方面浪费时间
对于老客户或者被老客户介绍过来的朋友，我们都会适当给一些优惠。
选择实体注册公司办理，更放心，更安全！我们的承诺：客户在留信官方认证查询网站查询到认证通过结果后付款，不成功不收费！
一比一原版(harvard毕业证书）哈佛大学毕业证如何办理
一模一样【微信：A575476】【(harvard毕业证书）哈佛大学毕业证成绩单Offer】【微信：A575476】（留信学历认证永久存档查询）采用学校原版纸张、特殊工艺完全按照原版一比一制作（包括：隐形水印，阴影底纹，钢印LOGO烫金烫银，LOGO烫金烫银复合重叠，文字图案浮雕，激光镭射，紫外荧光，温感，复印防伪）行业标杆！精益求精，诚心合作，真诚制作！多年品质 ,按需精细制作，24小时接单,全套进口原装设备，十五年致力于帮助留学生解决难题，业务范围有加拿大、英国、澳洲、韩国、美国、新加坡，新西兰等学历材料，包您满意。
【业务选择办理准则】
一、工作未确定，回国需先给父母、亲戚朋友看下文凭的情况，办理一份就读学校的毕业证【微信：A575476】文凭即可
二、回国进私企、外企、自己做生意的情况，这些单位是不查询毕业证真伪的，而且国内没有渠道去查询国外文凭的真假，也不需要提供真实教育部认证。鉴于此，办理一份毕业证【微信：A575476】即可
三、进国企，银行，事业单位，考公务员等等，这些单位是必需要提供真实教育部认证的，办理教育部认证所需资料众多且烦琐，所有材料您都必须提供原件，我们凭借丰富的经验，快捷的绿色通道帮您快速整合材料，让您少走弯路。
留信网认证的作用:
1:该专业认证可证明留学生真实身份
2:同时对留学生所学专业登记给予评定
3:国家专业人才认证中心颁发入库证书
4:这个认证书并且可以归档倒地方
5:凡事获得留信网入网的信息将会逐步更新到个人身份内，将在公安局网内查询个人身份证信息后，同步读取人才网入库信息
6:个人职称评审加20分
7:个人信誉贷款加10分
8:在国家人才网主办的国家网络招聘大会中纳入资料，供国家高端企业选择人才
→ 【关于价格问题（保证一手价格）
我们所定的价格是非常合理的，而且我们现在做得单子大多数都是代理和回头客户介绍的所以一般现在有新的单子 我给客户的都是第一手的代理价格，因为我想坦诚对待大家 不想跟大家在价格方面浪费时间
对于老客户或者被老客户介绍过来的朋友，我们都会适当给一些优惠。
选择实体注册公司办理，更放心，更安全！我们的承诺：可来公司面谈，可签订合同，会陪同客户一起到教育部认证窗口递交认证材料，客户在教育部官方认证查询网站查询到认证通过结果后付款，不成功不收费！
社内勉強会資料_Hallucination of LLMs .
社内エンジニア・リサーチャー勉強会の発表資料「Hallucination of LLMs」を公開しました！
大規模言語モデル(LLM)に起こるハルシネーションのメカニズムと、それらを軽減する方法について紹介しています。
一比一原版(lbs毕业证书)伦敦商学院毕业证如何办理
原版一模一样【微信：741003700 】【(lbs毕业证书)伦敦商学院毕业证成绩单】【微信：741003700 】学位证，留信认证（真实可查，永久存档）原件一模一样纸张工艺/offer、雅思、外壳等材料/诚信可靠,可直接看成品样本，帮您解决无法毕业带来的各种难题！外壳，原版制作，诚信可靠，可直接看成品样本。行业标杆！精益求精，诚心合作，真诚制作！多年品质 ,按需精细制作，24小时接单,全套进口原装设备。十五年致力于帮助留学生解决难题，包您满意。
本公司拥有海外各大学样板无数，能完美还原。
1:1完美还原海外各大学毕业材料上的工艺：水印，阴影底纹，钢印LOGO烫金烫银，LOGO烫金烫银复合重叠。文字图案浮雕、激光镭射、紫外荧光、温感、复印防伪等防伪工艺。材料咨询办理、认证咨询办理请加学历顾问Q/微741003700
【主营项目】
一.毕业证【q微741003700】成绩单、使馆认证、教育部认证、雅思托福成绩单、学生卡等！
二.真实使馆公证(即留学回国人员证明,不成功不收费)
三.真实教育部学历学位认证（教育部存档！教育部留服网站永久可查）
四.办理各国各大学文凭(一对一专业服务,可全程监控跟踪进度)
如果您处于以下几种情况：
◇在校期间，因各种原因未能顺利毕业……拿不到官方毕业证【q/微741003700】
◇面对父母的压力，希望尽快拿到；
◇不清楚认证流程以及材料该如何准备；
◇回国时间很长，忘记办理；
◇回国马上就要找工作，办给用人单位看；
◇企事业单位必须要求办理的
◇需要报考公务员、购买免税车、落转户口
◇申请留学生创业基金
留信网认证的作用:
1:该专业认证可证明留学生真实身份
2:同时对留学生所学专业登记给予评定
3:国家专业人才认证中心颁发入库证书
4:这个认证书并且可以归档倒地方
5:凡事获得留信网入网的信息将会逐步更新到个人身份内，将在公安局网内查询个人身份证信息后，同步读取人才网入库信息
6:个人职称评审加20分
7:个人信誉贷款加10分
8:在国家人才网主办的国家网络招聘大会中纳入资料，供国家高端企业选择人才
办理(lbs毕业证书)伦敦商学院毕业证【微信：741003700 】外观非常简单，由纸质材料制成，上面印有校徽、校名、毕业生姓名、专业等信息。
办理(lbs毕业证书)伦敦商学院毕业证【微信：741003700 】格式相对统一，各专业都有相应的模板。通常包括以下部分：
校徽：象征着学校的荣誉和传承。
校名:学校英文全称
授予学位：本部分将注明获得的具体学位名称。
毕业生姓名：这是最重要的信息之一，标志着该证书是由特定人员获得的。
颁发日期：这是毕业正式生效的时间，也代表着毕业生学业的结束。
其他信息：根据不同的专业和学位，可能会有一些特定的信息或章节。
办理(lbs毕业证书)伦敦商学院毕业证【微信：741003700 】价值很高，需要妥善保管。一般来说，应放置在安全、干燥、防潮的地方，避免长时间暴露在阳光下。如需使用，最好使用复印件而不是原件，以免丢失。
综上所述，办理(lbs毕业证书)伦敦商学院毕业证【微信：741003700 】是证明身份和学历的高价值文件。外观简单庄重，格式统一，包括重要的个人信息和发布日期。对持有人来说，妥善保管是非常重要的。
一比一原版(UMN文凭证书)明尼苏达大学毕业证如何办理
毕业原版【微信:176555708】【(UMN毕业证书)明尼苏达大学毕业证】【微信:176555708】成绩单、外壳、offer、留信学历认证（永久存档真实可查）采用学校原版纸张、特殊工艺完全按照原版一比一制作（包括：隐形水印，阴影底纹，钢印LOGO烫金烫银，LOGO烫金烫银复合重叠，文字图案浮雕，激光镭射，紫外荧光，温感，复印防伪）行业标杆！精益求精，诚心合作，真诚制作！多年品质 ,按需精细制作，24小时接单,全套进口原装设备，十五年致力于帮助留学生解决难题，业务范围有加拿大、英国、澳洲、韩国、美国、新加坡，新西兰等学历材料，包您满意。
【我们承诺采用的是学校原版纸张（纸质、底色、纹路），我们拥有全套进口原装设备，特殊工艺都是采用不同机器制作，仿真度基本可以达到100%，所有工艺效果都可提前给客户展示，不满意可以根据客户要求进行调整，直到满意为止！】
【业务选择办理准则】
一、工作未确定，回国需先给父母、亲戚朋友看下文凭的情况，办理一份就读学校的毕业证【微信176555708】文凭即可
二、回国进私企、外企、自己做生意的情况，这些单位是不查询毕业证真伪的，而且国内没有渠道去查询国外文凭的真假，也不需要提供真实教育部认证。鉴于此，办理一份毕业证【微信176555708】即可
三、进国企，银行，事业单位，考公务员等等，这些单位是必需要提供真实教育部认证的，办理教育部认证所需资料众多且烦琐，所有材料您都必须提供原件，我们凭借丰富的经验，快捷的绿色通道帮您快速整合材料，让您少走弯路。
留信网认证的作用:
1:该专业认证可证明留学生真实身份
2:同时对留学生所学专业登记给予评定
3:国家专业人才认证中心颁发入库证书
4:这个认证书并且可以归档倒地方
5:凡事获得留信网入网的信息将会逐步更新到个人身份内，将在公安局网内查询个人身份证信息后，同步读取人才网入库信息
6:个人职称评审加20分
7:个人信誉贷款加10分
8:在国家人才网主办的国家网络招聘大会中纳入资料，供国家高端企业选择人才
留信网服务项目：
1、留学生专业人才库服务（留信分析）
2、国（境）学习人员提供就业推荐信服务
3、留学人员区块链存储服务
→ 【关于价格问题（保证一手价格）】
我们所定的价格是非常合理的，而且我们现在做得单子大多数都是代理和回头客户介绍的所以一般现在有新的单子 我给客户的都是第一手的代理价格，因为我想坦诚对待大家 不想跟大家在价格方面浪费时间
对于老客户或者被老客户介绍过来的朋友，我们都会适当给一些优惠。
选择实体注册公司办理，更放心，更安全！我们的承诺：客户在留信官方认证查询网站查询到认证通过结果后付款，不成功不收费！
4th Modern Marketing Reckoner by MMA Global India & Group M: 60+ experts on W...
The Modern Marketing Reckoner (MMR) is a comprehensive resource packed with POVs from 60+ industry leaders on how AI is transforming the 4 key pillars of marketing – product, place, price and promotions.
Predictably Improve Your B2B Tech Company's Performance by Leveraging Data
Harness the power of AI-backed reports, benchmarking and data analysis to predict trends and detect anomalies in your marketing efforts.
Peter Caputa, CEO at Databox, reveals how you can discover the strategies and tools to increase your growth rate (and margins!).
From metrics to track to data habits to pick up, enhance your reporting for powerful insights to improve your B2B tech company's marketing.
- - -
This is the webinar recording from the June 2024 HubSpot User Group (HUG) for B2B Technology USA.
Watch the video recording at https://youtu.be/5vjwGfPN9lw
Sign up for future HUG events at https://events.hubspot.com/b2b-technology-usa/
How To Control IO Usage using Resource Manager
How To Control IO Usage using Resource Manager
In Multitenant and Exadata architecture
在线办理(英国UCA毕业证书)创意艺术大学毕业证在读证明一模一样
学校原件一模一样【微信：741003700 】《(英国UCA毕业证书)创意艺术大学毕业证》【微信：741003700 】学位证，留信认证（真实可查，永久存档）原件一模一样纸张工艺/offer、雅思、外壳等材料/诚信可靠,可直接看成品样本，帮您解决无法毕业带来的各种难题！外壳，原版制作，诚信可靠，可直接看成品样本。行业标杆！精益求精，诚心合作，真诚制作！多年品质 ,按需精细制作，24小时接单,全套进口原装设备。十五年致力于帮助留学生解决难题，包您满意。
本公司拥有海外各大学样板无数，能完美还原。
1:1完美还原海外各大学毕业材料上的工艺：水印，阴影底纹，钢印LOGO烫金烫银，LOGO烫金烫银复合重叠。文字图案浮雕、激光镭射、紫外荧光、温感、复印防伪等防伪工艺。材料咨询办理、认证咨询办理请加学历顾问Q/微741003700
【主营项目】
一.毕业证【q微741003700】成绩单、使馆认证、教育部认证、雅思托福成绩单、学生卡等！
二.真实使馆公证(即留学回国人员证明,不成功不收费)
三.真实教育部学历学位认证（教育部存档！教育部留服网站永久可查）
四.办理各国各大学文凭(一对一专业服务,可全程监控跟踪进度)
如果您处于以下几种情况：
◇在校期间，因各种原因未能顺利毕业……拿不到官方毕业证【q/微741003700】
◇面对父母的压力，希望尽快拿到；
◇不清楚认证流程以及材料该如何准备；
◇回国时间很长，忘记办理；
◇回国马上就要找工作，办给用人单位看；
◇企事业单位必须要求办理的
◇需要报考公务员、购买免税车、落转户口
◇申请留学生创业基金
留信网认证的作用:
1:该专业认证可证明留学生真实身份
2:同时对留学生所学专业登记给予评定
3:国家专业人才认证中心颁发入库证书
4:这个认证书并且可以归档倒地方
5:凡事获得留信网入网的信息将会逐步更新到个人身份内，将在公安局网内查询个人身份证信息后，同步读取人才网入库信息
6:个人职称评审加20分
7:个人信誉贷款加10分
8:在国家人才网主办的国家网络招聘大会中纳入资料，供国家高端企业选择人才
Experts live - Improving user adoption with AI
Bekijk de slides van onze sessie Enhancing Modern Workplace Efficiency op Experts Live 2024.
Build applications with generative AI on Google Cloud
We will explore Vertex AI - Model Garden powered experiences, we are going to learn more about the integration of these generative AI APIs. We are going to see in action what the Gemini family of generative models are for developers to build and deploy AI-driven applications. Vertex AI includes a suite of foundation models, these are referred to as the PaLM and Gemini family of generative ai models, and they come in different versions. We are going to cover how to use via API to: - execute prompts in text and chat - cover multimodal use cases with image prompts. - finetune and distill to improve knowledge domains - run function calls with foundation models to optimize them for specific tasks. At the end of the session, developers will understand how to innovate with generative AI and develop apps using the generative ai industry trends.
UofT毕业证如何办理
原件一模一样【微信：95270640】【多伦多大学毕业证UofT学位证成绩单】【微信：95270640】（留信学历认证永久存档查询）采用学校原版纸张、特殊工艺完全按照原版一比一制作（包括：隐形水印，阴影底纹，钢印LOGO烫金烫银，LOGO烫金烫银复合重叠，文字图案浮雕，激光镭射，紫外荧光，温感，复印防伪）行业标杆！精益求精，诚心合作，真诚制作！多年品质 ,按需精细制作，24小时接单,全套进口原装设备，十五年致力于帮助留学生解决难题，业务范围有加拿大、英国、澳洲、韩国、美国、新加坡，新西兰等学历材料，包您满意。
【业务选择办理准则】
一、工作未确定，回国需先给父母、亲戚朋友看下文凭的情况，办理一份就读学校的毕业证【微信：95270640】文凭即可
二、回国进私企、外企、自己做生意的情况，这些单位是不查询毕业证真伪的，而且国内没有渠道去查询国外文凭的真假，也不需要提供真实教育部认证。鉴于此，办理一份毕业证【微信：95270640】即可
三、进国企，银行，事业单位，考公务员等等，这些单位是必需要提供真实教育部认证的，办理教育部认证所需资料众多且烦琐，所有材料您都必须提供原件，我们凭借丰富的经验，快捷的绿色通道帮您快速整合材料，让您少走弯路。
留信网认证的作用:
1:该专业认证可证明留学生真实身份【微信：95270640】
2:同时对留学生所学专业登记给予评定
3:国家专业人才认证中心颁发入库证书
4:这个认证书并且可以归档倒地方
5:凡事获得留信网入网的信息将会逐步更新到个人身份内，将在公安局网内查询个人身份证信息后，同步读取人才网入库信息
6:个人职称评审加20分
7:个人信誉贷款加10分
8:在国家人才网主办的国家网络招聘大会中纳入资料，供国家高端企业选择人才
→ 【关于价格问题（保证一手价格）
我们所定的价格是非常合理的，而且我们现在做得单子大多数都是代理和回头客户介绍的所以一般现在有新的单子 我给客户的都是第一手的代理价格，因为我想坦诚对待大家 不想跟大家在价格方面浪费时间
对于老客户或者被老客户介绍过来的朋友，我们都会适当给一些优惠。
选择实体注册公司办理，更放心，更安全！我们的承诺：可来公司面谈，可签订合同，会陪同客户一起到教育部认证窗口递交认证材料，客户在教育部官方认证查询网站查询到认证通过结果后付款，不成功不收费！
办理多伦多大学毕业证硕士毕业证成绩单UofT学位证【微信：95270640 】外观非常精致，由特殊纸质材料制成，上面印有校徽、校名、毕业生姓名、专业等信息。
办理多伦多大学毕业证UofT学位证硕士毕业证成绩单【微信：95270640 】格式相对统一，各专业都有相应的模板。通常包括以下部分：
校徽：象征着学校的荣誉和传承。
校名:学校英文全称
授予学位：本部分将注明获得的具体学位名称。
毕业生姓名：这是最重要的信息之一，标志着该证书是由特定人员获得的。
颁发日期：这是毕业正式生效的时间，也代表着毕业生学业的结束。
其他信息：根据不同的专业和学位，可能会有一些特定的信息或章节。
办理多伦多大学毕业证硕士毕业证成绩单UofT学位证【微信：95270640 】价值很高，需要妥善保管。一般来说，应放置在安全、干燥、防潮的地方，避免长时间暴露在阳光下。如需使用，最好使用复印件而不是原件，以免丢失。
综上所述，办理多伦多大学毕业证硕士毕业证成绩单UofT学位证【微信：95270640 】是证明身份和学历的高价值文件。外观简单庄重，格式统一，包括重要的个人信息和发布日期。对持有人来说，妥善保管是非常重要的。
一比一原版(曼大毕业证书)曼尼托巴大学毕业证如何办理
原版一模一样【微信：741003700 】【(曼大毕业证书)曼尼托巴大学毕业证成绩单】【微信：741003700 】学位证，留信认证（真实可查，永久存档）原件一模一样纸张工艺/offer、雅思、外壳等材料/诚信可靠,可直接看成品样本，帮您解决无法毕业带来的各种难题！外壳，原版制作，诚信可靠，可直接看成品样本。行业标杆！精益求精，诚心合作，真诚制作！多年品质 ,按需精细制作，24小时接单,全套进口原装设备。十五年致力于帮助留学生解决难题，包您满意。
本公司拥有海外各大学样板无数，能完美还原。
1:1完美还原海外各大学毕业材料上的工艺：水印，阴影底纹，钢印LOGO烫金烫银，LOGO烫金烫银复合重叠。文字图案浮雕、激光镭射、紫外荧光、温感、复印防伪等防伪工艺。材料咨询办理、认证咨询办理请加学历顾问Q/微741003700
【主营项目】
一.毕业证【q微741003700】成绩单、使馆认证、教育部认证、雅思托福成绩单、学生卡等！
二.真实使馆公证(即留学回国人员证明,不成功不收费)
三.真实教育部学历学位认证（教育部存档！教育部留服网站永久可查）
四.办理各国各大学文凭(一对一专业服务,可全程监控跟踪进度)
如果您处于以下几种情况：
◇在校期间，因各种原因未能顺利毕业……拿不到官方毕业证【q/微741003700】
◇面对父母的压力，希望尽快拿到；
◇不清楚认证流程以及材料该如何准备；
◇回国时间很长，忘记办理；
◇回国马上就要找工作，办给用人单位看；
◇企事业单位必须要求办理的
◇需要报考公务员、购买免税车、落转户口
◇申请留学生创业基金
留信网认证的作用:
1:该专业认证可证明留学生真实身份
2:同时对留学生所学专业登记给予评定
3:国家专业人才认证中心颁发入库证书
4:这个认证书并且可以归档倒地方
5:凡事获得留信网入网的信息将会逐步更新到个人身份内，将在公安局网内查询个人身份证信息后，同步读取人才网入库信息
6:个人职称评审加20分
7:个人信誉贷款加10分
8:在国家人才网主办的国家网络招聘大会中纳入资料，供国家高端企业选择人才
办理(曼大毕业证书)曼尼托巴大学毕业证【微信：741003700 】外观非常简单，由纸质材料制成，上面印有校徽、校名、毕业生姓名、专业等信息。
办理(曼大毕业证书)曼尼托巴大学毕业证【微信：741003700 】格式相对统一，各专业都有相应的模板。通常包括以下部分：
校徽：象征着学校的荣誉和传承。
校名:学校英文全称
授予学位：本部分将注明获得的具体学位名称。
毕业生姓名：这是最重要的信息之一，标志着该证书是由特定人员获得的。
颁发日期：这是毕业正式生效的时间，也代表着毕业生学业的结束。
其他信息：根据不同的专业和学位，可能会有一些特定的信息或章节。
办理(曼大毕业证书)曼尼托巴大学毕业证【微信：741003700 】价值很高，需要妥善保管。一般来说，应放置在安全、干燥、防潮的地方，避免长时间暴露在阳光下。如需使用，最好使用复印件而不是原件，以免丢失。
综上所述，办理(曼大毕业证书)曼尼托巴大学毕业证【微信：741003700 】是证明身份和学历的高价值文件。外观简单庄重，格式统一，包括重要的个人信息和发布日期。对持有人来说，妥善保管是非常重要的。
一比一原版多伦多大学毕业证(UofT毕业证书)学历如何办理
办理【微信号:176555708】【办理(UofT毕业证书)】【微信号:176555708】《成绩单、外壳、offer、真实留信官方学历认证（永久存档/真实可查）》采用学校原版纸张、特殊工艺完全按照原版一比一制作（包括：隐形水印，阴影底纹，钢印LOGO烫金烫银，LOGO烫金烫银复合重叠，文字图案浮雕，激光镭射，紫外荧光，温感，复印防伪）行业标杆！精益求精，诚心合作，真诚制作！多年品质 ,按需精细制作，24小时接单,全套进口原装设备，十五年致力于帮助留学生解决难题，业务范围有加拿大、英国、澳洲、韩国、美国、新加坡，新西兰等学历材料，包您满意。
【我们承诺采用的是学校原版纸张（纸质、底色、纹路）我们拥有全套进口原装设备，特殊工艺都是采用不同机器制作，仿真度基本可以达到100%，所有工艺效果都可提前给客户展示，不满意可以根据客户要求进行调整，直到满意为止！】
【业务选择办理准则】
一、工作未确定，回国需先给父母、亲戚朋友看下文凭的情况，办理一份就读学校的毕业证【微信号:176555708】文凭即可
二、回国进私企、外企、自己做生意的情况，这些单位是不查询毕业证真伪的，而且国内没有渠道去查询国外文凭的真假，也不需要提供真实教育部认证。鉴于此，办理一份毕业证【微信号:176555708】即可
三、进国企，银行，事业单位，考公务员等等，这些单位是必需要提供真实教育部认证的，办理教育部认证所需资料众多且烦琐，所有材料您都必须提供原件，我们凭借丰富的经验，快捷的绿色通道帮您快速整合材料，让您少走弯路。
留信网认证的作用:
1:该专业认证可证明留学生真实身份
2:同时对留学生所学专业登记给予评定
3:国家专业人才认证中心颁发入库证书
4:这个认证书并且可以归档倒地方
5:凡事获得留信网入网的信息将会逐步更新到个人身份内，将在公安局网内查询个人身份证信息后，同步读取人才网入库信息
6:个人职称评审加20分
7:个人信誉贷款加10分
8:在国家人才网主办的国家网络招聘大会中纳入资料，供国家高端企业选择人才
留信网服务项目：
1、留学生专业人才库服务（留信分析）
2、国（境）学习人员提供就业推荐信服务
3、留学人员区块链存储服务
【关于价格问题（保证一手价格）】
我们所定的价格是非常合理的，而且我们现在做得单子大多数都是代理和回头客户介绍的所以一般现在有新的单子 我给客户的都是第一手的代理价格，因为我想坦诚对待大家 不想跟大家在价格方面浪费时间
对于老客户或者被老客户介绍过来的朋友，我们都会适当给一些优惠。
选择实体注册公司办理，更放心，更安全！我们的承诺：客户在留信官方认证查询网站查询到认证通过结果后付款，不成功不收费！
一比一原版(UCSB文凭证书)圣芭芭拉分校毕业证如何办理
毕业原版【微信:176555708】【(UCSB毕业证书)圣芭芭拉分校毕业证】【微信:176555708】成绩单、外壳、offer、留信学历认证（永久存档真实可查）采用学校原版纸张、特殊工艺完全按照原版一比一制作（包括：隐形水印，阴影底纹，钢印LOGO烫金烫银，LOGO烫金烫银复合重叠，文字图案浮雕，激光镭射，紫外荧光，温感，复印防伪）行业标杆！精益求精，诚心合作，真诚制作！多年品质 ,按需精细制作，24小时接单,全套进口原装设备，十五年致力于帮助留学生解决难题，业务范围有加拿大、英国、澳洲、韩国、美国、新加坡，新西兰等学历材料，包您满意。
【我们承诺采用的是学校原版纸张（纸质、底色、纹路），我们拥有全套进口原装设备，特殊工艺都是采用不同机器制作，仿真度基本可以达到100%，所有工艺效果都可提前给客户展示，不满意可以根据客户要求进行调整，直到满意为止！】
【业务选择办理准则】
一、工作未确定，回国需先给父母、亲戚朋友看下文凭的情况，办理一份就读学校的毕业证【微信176555708】文凭即可
二、回国进私企、外企、自己做生意的情况，这些单位是不查询毕业证真伪的，而且国内没有渠道去查询国外文凭的真假，也不需要提供真实教育部认证。鉴于此，办理一份毕业证【微信176555708】即可
三、进国企，银行，事业单位，考公务员等等，这些单位是必需要提供真实教育部认证的，办理教育部认证所需资料众多且烦琐，所有材料您都必须提供原件，我们凭借丰富的经验，快捷的绿色通道帮您快速整合材料，让您少走弯路。
留信网认证的作用:
1:该专业认证可证明留学生真实身份
2:同时对留学生所学专业登记给予评定
3:国家专业人才认证中心颁发入库证书
4:这个认证书并且可以归档倒地方
5:凡事获得留信网入网的信息将会逐步更新到个人身份内，将在公安局网内查询个人身份证信息后，同步读取人才网入库信息
6:个人职称评审加20分
7:个人信誉贷款加10分
8:在国家人才网主办的国家网络招聘大会中纳入资料，供国家高端企业选择人才
留信网服务项目：
1、留学生专业人才库服务（留信分析）
2、国（境）学习人员提供就业推荐信服务
3、留学人员区块链存储服务
→ 【关于价格问题（保证一手价格）】
我们所定的价格是非常合理的，而且我们现在做得单子大多数都是代理和回头客户介绍的所以一般现在有新的单子 我给客户的都是第一手的代理价格，因为我想坦诚对待大家 不想跟大家在价格方面浪费时间
对于老客户或者被老客户介绍过来的朋友，我们都会适当给一些优惠。
选择实体注册公司办理，更放心，更安全！我们的承诺：客户在留信官方认证查询网站查询到认证通过结果后付款，不成功不收费！
一比一原版英国赫特福德大学毕业证（hertfordshire毕业证书）如何办理
原版一模一样【微信：741003700 】【英国赫特福德大学毕业证（hertfordshire毕业证书）成绩单】【微信：741003700 】学位证，留信认证（真实可查，永久存档）原件一模一样纸张工艺/offer、雅思、外壳等材料/诚信可靠,可直接看成品样本，帮您解决无法毕业带来的各种难题！外壳，原版制作，诚信可靠，可直接看成品样本。行业标杆！精益求精，诚心合作，真诚制作！多年品质 ,按需精细制作，24小时接单,全套进口原装设备。十五年致力于帮助留学生解决难题，包您满意。
本公司拥有海外各大学样板无数，能完美还原。
1:1完美还原海外各大学毕业材料上的工艺：水印，阴影底纹，钢印LOGO烫金烫银，LOGO烫金烫银复合重叠。文字图案浮雕、激光镭射、紫外荧光、温感、复印防伪等防伪工艺。材料咨询办理、认证咨询办理请加学历顾问Q/微741003700
【主营项目】
一.毕业证【q微741003700】成绩单、使馆认证、教育部认证、雅思托福成绩单、学生卡等！
二.真实使馆公证(即留学回国人员证明,不成功不收费)
三.真实教育部学历学位认证（教育部存档！教育部留服网站永久可查）
四.办理各国各大学文凭(一对一专业服务,可全程监控跟踪进度)
如果您处于以下几种情况：
◇在校期间，因各种原因未能顺利毕业……拿不到官方毕业证【q/微741003700】
◇面对父母的压力，希望尽快拿到；
◇不清楚认证流程以及材料该如何准备；
◇回国时间很长，忘记办理；
◇回国马上就要找工作，办给用人单位看；
◇企事业单位必须要求办理的
◇需要报考公务员、购买免税车、落转户口
◇申请留学生创业基金
留信网认证的作用:
1:该专业认证可证明留学生真实身份
2:同时对留学生所学专业登记给予评定
3:国家专业人才认证中心颁发入库证书
4:这个认证书并且可以归档倒地方
5:凡事获得留信网入网的信息将会逐步更新到个人身份内，将在公安局网内查询个人身份证信息后，同步读取人才网入库信息
6:个人职称评审加20分
7:个人信誉贷款加10分
8:在国家人才网主办的国家网络招聘大会中纳入资料，供国家高端企业选择人才
办理英国赫特福德大学毕业证（hertfordshire毕业证书）【微信：741003700 】外观非常简单，由纸质材料制成，上面印有校徽、校名、毕业生姓名、专业等信息。
办理英国赫特福德大学毕业证（hertfordshire毕业证书）【微信：741003700 】格式相对统一，各专业都有相应的模板。通常包括以下部分：
校徽：象征着学校的荣誉和传承。
校名:学校英文全称
授予学位：本部分将注明获得的具体学位名称。
毕业生姓名：这是最重要的信息之一，标志着该证书是由特定人员获得的。
颁发日期：这是毕业正式生效的时间，也代表着毕业生学业的结束。
其他信息：根据不同的专业和学位，可能会有一些特定的信息或章节。
办理英国赫特福德大学毕业证（hertfordshire毕业证书）【微信：741003700 】价值很高，需要妥善保管。一般来说，应放置在安全、干燥、防潮的地方，避免长时间暴露在阳光下。如需使用，最好使用复印件而不是原件，以免丢失。
综上所述，办理英国赫特福德大学毕业证（hertfordshire毕业证书）【微信：741003700 】是证明身份和学历的高价值文件。外观简单庄重，格式统一，包括重要的个人信息和发布日期。对持有人来说，妥善保管是非常重要的。
一比一原版爱尔兰都柏林大学毕业证(本硕）ucd学位证书如何办理
原版一模一样【微信：741003700 】【爱尔兰都柏林大学毕业证(本硕）ucd成绩单】【微信：741003700 】学位证，留信认证（真实可查，永久存档）原件一模一样纸张工艺/offer、雅思、外壳等材料/诚信可靠,可直接看成品样本，帮您解决无法毕业带来的各种难题！外壳，原版制作，诚信可靠，可直接看成品样本。行业标杆！精益求精，诚心合作，真诚制作！多年品质 ,按需精细制作，24小时接单,全套进口原装设备。十五年致力于帮助留学生解决难题，包您满意。
本公司拥有海外各大学样板无数，能完美还原。
1:1完美还原海外各大学毕业材料上的工艺：水印，阴影底纹，钢印LOGO烫金烫银，LOGO烫金烫银复合重叠。文字图案浮雕、激光镭射、紫外荧光、温感、复印防伪等防伪工艺。材料咨询办理、认证咨询办理请加学历顾问Q/微741003700
【主营项目】
一.毕业证【q微741003700】成绩单、使馆认证、教育部认证、雅思托福成绩单、学生卡等！
二.真实使馆公证(即留学回国人员证明,不成功不收费)
三.真实教育部学历学位认证（教育部存档！教育部留服网站永久可查）
四.办理各国各大学文凭(一对一专业服务,可全程监控跟踪进度)
如果您处于以下几种情况：
◇在校期间，因各种原因未能顺利毕业……拿不到官方毕业证【q/微741003700】
◇面对父母的压力，希望尽快拿到；
◇不清楚认证流程以及材料该如何准备；
◇回国时间很长，忘记办理；
◇回国马上就要找工作，办给用人单位看；
◇企事业单位必须要求办理的
◇需要报考公务员、购买免税车、落转户口
◇申请留学生创业基金
留信网认证的作用:
1:该专业认证可证明留学生真实身份
2:同时对留学生所学专业登记给予评定
3:国家专业人才认证中心颁发入库证书
4:这个认证书并且可以归档倒地方
5:凡事获得留信网入网的信息将会逐步更新到个人身份内，将在公安局网内查询个人身份证信息后，同步读取人才网入库信息
6:个人职称评审加20分
7:个人信誉贷款加10分
8:在国家人才网主办的国家网络招聘大会中纳入资料，供国家高端企业选择人才
办理爱尔兰都柏林大学毕业证(本硕）ucd学位证书【微信：741003700 】外观非常简单，由纸质材料制成，上面印有校徽、校名、毕业生姓名、专业等信息。
办理爱尔兰都柏林大学毕业证(本硕）ucd学位证书【微信：741003700 】格式相对统一，各专业都有相应的模板。通常包括以下部分：
校徽：象征着学校的荣誉和传承。
校名:学校英文全称
授予学位：本部分将注明获得的具体学位名称。
毕业生姓名：这是最重要的信息之一，标志着该证书是由特定人员获得的。
颁发日期：这是毕业正式生效的时间，也代表着毕业生学业的结束。
其他信息：根据不同的专业和学位，可能会有一些特定的信息或章节。
办理爱尔兰都柏林大学毕业证(本硕）ucd学位证书【微信：741003700 】价值很高，需要妥善保管。一般来说，应放置在安全、干燥、防潮的地方，避免长时间暴露在阳光下。如需使用，最好使用复印件而不是原件，以免丢失。
综上所述，办理爱尔兰都柏林大学毕业证(本硕）ucd学位证书【微信：741003700 】是证明身份和学历的高价值文件。外观简单庄重，格式统一，包括重要的个人信息和发布日期。对持有人来说，妥善保管是非常重要的。
一比一原版(UO毕业证)渥太华大学毕业证如何办理
UO毕业证录取书【微信95270640】购买（渥太华大学毕业证成绩单硕士学历）Q微信95270640代办UO学历认证留信网伪造渥太华大学学位证书精仿渥太华大学本科/硕士文凭证书补办渥太华大学 diplomaoffer,Transcript购买渥太华大学毕业证成绩单购买UO假毕业证学位证书购买伪造渥太华大学文凭证书学位证书,专业办理雅思、托福成绩单，学生ID卡，在读证明，海外各大学offer录取通知书，毕业证书，成绩单，文凭等材料:1:1完美还原毕业证、offer录取通知书、学生卡等各种在读或毕业材料的防伪工艺（包括 烫金、烫银、钢印、底纹、凹凸版、水印、防伪光标、热敏防伪、文字图案浮雕，激光镭射，紫外荧光，温感光标）学校原版上有的工艺我们一样不会少，不论是老版本还是最新版本，都能保证最高程度还原，力争完美以求让所有同学都能享受到完美的品质服务。
文凭办理流程：
1客户提供办理信息：姓名生日专业学位毕业时间等（如信息不确定可以咨询顾问：微信95270640我们有专业老师帮你查询）；
2开始安排制作毕业证成绩单电子图；
3毕业证成绩单电子版做好以后发送给您确认；
4毕业证成绩单电子版您确认信息无误之后安排制作成品；
5成品做好拍照或者视频给您确认；
6快递给客户（国内顺丰国外DHLUPS等快读邮寄）。
7完成交易删除客户资料
高精端提供以下服务：
一：渥太华大学渥太华大学毕业证文凭证书全套材料从防伪到印刷水印底纹到钢印烫金
二：真实使馆认证（留学人员回国证明）使馆存档
三：真实教育部认证教育部存档教育部留服网站可查
四：留信认证留学生信息网站可查
五：与学校颁发的相关证件1:1纸质尺寸制定（定期向各大院校毕业生购买最新版本毕,业证成绩单保证您拿到的是鲁昂大学内部最新版本毕业证成绩单微信95270640）
A.为什么留学生需要操作留信认证?
留信认证全称全国留学生信息服务网认证,隶属于北京中科院。①留信认证门槛条件更低,费用更美丽,并且包过,完单周期短,效率高②留信认证虽然不能去国企,但是一般的公司都没有问题,因为国内很多公司连基本的留学生学历认证都不了解。这对于留学生来说,这就比自己光拿一个证书更有说服力,因为留学学历可以在留信网站上进行查询!
B.为什么我们提供的毕业证成绩单具有使用价值？
查询留服认证是国内鉴别留学生海外学历的唯一途径但认证只是个体行为不是所有留学生都操作所以没有办理认证的留学生的学历在国内也是查询不到的他们也仅仅只有一张文凭。所以这时候我们提供的和学校颁发的一模一样的毕业证成绩单就有了使用价值。只硕大的蛇皮袋手里拎着长铁钩正站在门口朝黑色的屋内张望不好坏人小偷山娃一怔却也灵机一动立马仰起头双手拢在嘴边朝楼上大喊：“爸爸爸——有人找——那人一听朝山娃尴尬地笑笑悻悻地走了山娃立马“嘭的一声将铁门锁死心却咚咚地乱跳当山娃跟父亲说起这事时父亲很吃惊抚摸着山娃的头说还好醒得及时要不家早被人掏空了到时连电视也没得看啰不过父亲还是夸山娃能临危不乱随机应变有胆有谋山娃笑笑说那都是书上学的看童话和小说时多
Recently uploaded (20)
4th Modern Marketing Reckoner by MMA Global India & Group M: 60+ experts on W...
4th Modern Marketing Reckoner by MMA Global India & Group M: 60+ experts on W...
Predictably Improve Your B2B Tech Company's Performance by Leveraging Data
Predictably Improve Your B2B Tech Company's Performance by Leveraging Data
Build applications with generative AI on Google Cloud
Build applications with generative AI on Google Cloud
Week 8.2 Anonymous Networks
- 1. Privacy and Security in Online Social Media Course on NPTEL NOC-CS07 Week 8.2 Ponnurangam Kumaraguru (“PK”) Associate Professor ACM Distinguished Speaker fb/ponnurangam.kumaraguru, @ponguru
- 3. Why use Anonymous Networks? 3 ⚫Increasing awareness of privacy ⚫Snowden disclosures ⚫PRISM Surveillance program ⚫Bal Thackeray incident ⚫Many other incidents around the world
- 7. Terminology / Claims ⚫Whispers ⚫Replies ⚫Anonymous names ⚫Does not associate any personal information with user ID ⚫Does not archive any user history ⚫Does not support persistent social links between users ⚫“Heart” a message anonymously ⚫Private messages 7
- 8. Whisper 8
- 9. Goals ⚫How do whisper users interact in an anonymous environment? ⚫Do users form communities similar to those in traditional social networks? ⚫Does whisper’s lack of identities eliminate strong ties between users? ⚫Does it eliminate stickiness critical to long term engagement as in traditional SN? 9
- 10. Data collection ⚫Feb 6th – May 1st 2014 ⚫Collected “Latest” list by scrapping ⚫Data include ⚫WhisperID ⚫Timestamp ⚫Plain text of the whisper ⚫Author’s nickname ⚫A location tag ⚫# of replies (marked with the whisper) ⚫Likes 10
- 11. Data collection ⚫9,343,590 whispers ⚫15,268,964 replies ⚫1,038,364 GUIDs ⚫Global Universal Identifier ⚫Makes it possible to track user, but was removed in June 2014 ⚫Interacted with Whisper team 11
- 12. Data 12 ⚫55% of whispers receives no replies ⚫25% have a chain of at least 2 replies
- 13. Time between original & reply 13 ⚫ 54% of replies arrive within an hour of the original whisper ⚫ 94% of replies arrives in one day ⚫ 1.3% of replies arrive a week or more ⚫ “If a whisper does not get attention shortly after posting, it is unlikely to get attention later.”
- 14. Posts per user 14 ⚫80% users post less than 10 total whispers or replies ⚫15% of users only post replies but no original whispers ⚫30% of users only post whispers but no replies
- 15. Network analysis 15 ⚫ High average Degree. Users interact with large sample of other users. ⚫ Whisper users are likely to interact with complete strangers who are highly unlikely to interact with each other (low clustering coef.) ⚫ 100 random nodes. Avg. path length calculated. Shortest average path among 3. ⚫ Above 3 used to infer that graph is random than “small world”
- 16. Network analysis 16 ⚫Assortativity measures the probability for nodes in a graph to link to other nodes of similar degrees. ⚫Close to zero → random graph
- 17. Content moderation ⚫1.7 million whispers have been deleted in 3 months ⚫18% of content deleted compared to 4% in Twitter 17
- 18. Content moderation: Process ⚫Extracted keywords from all whispers ⚫Removed common stop-words ⚫Removed words that appear in less than 0.05% of whispers ⚫Compute deletion ratio for each word ⚫# of deleted whispers with this word / all whispers with this keyword ⚫Rank the words with deletion ratio ⚫Top and bottom keywords 18
- 19. Content moderation: Process ⚫Run on all 9 million original whispers ⚫1.7 M were deleted ⚫2,324 keywords ranked by deletion ratio ⚫Manually put them in categories 19
- 21. Deletion delay 21 ⚫70% of deleted whispers are “deleted” within one week after posting ⚫2% of the whispers stay for more than a month ⚫ Done by moderators
- 22. Deletion delay 22 ⚫ Fine grained analysis ⚫ Recrawled for 200K latest whispers ⚫ 32,153 was deleted ⚫ Peak deletion 3 – 9 hrs ⚫ Majority deletes within 24 hrs
- 23. User interactions 23 ⚫503K user pairs ⚫90% of the two users co-located in the same “State” ⚫75% have their distance < 40 miles
- 24. User interactions 24 ⚫Smaller user population in same nearby area, higher chance of encounter ⚫More whispers 2 users post, more likely they encounter each other
- 25. User engagement 25 ⚫Roughly 80K users per week ⚫Daily new posts in the entire network remain stable, despite new users (earlier conclusion) ⚫Shows users “disengage”
- 26. User engagement 26 ⚫ # of whispers and replies by both new and old users ⚫ New users make 20% contribution in the content ⚫ Content by new users does not grow significantly
- 27. Conclusions ⚫Clearly different from traditional social networks ⚫Without strong user identities or persistent social links, users interact with strangers ⚫Moderation is necessary 27