Digital Sovereigns or Consent of the NetworkedMsifry
In this class, we looked at the reality of Chinese and Russian internet usage, where authoritarian governments have so far succeeded in boxing in the disruptive effects of networked mass communication.
Digital Sovereigns or Consent of the NetworkedMsifry
In this class, we looked at the reality of Chinese and Russian internet usage, where authoritarian governments have so far succeeded in boxing in the disruptive effects of networked mass communication.
Cambridge Analytica as a Prime Example of the Manipulation of Democratic Deci...Anna Vollmer
In 2018 the now defunct big data analytics and political consulting firm Cambridge Analytica – which had been involved in the Trump presidential as well as the Brexit campaign – rose to international prominence after it was revealed that they had harvested millions of Facebook users’ data without their consent to subsequently target voters with highly personalized ads. As more and more political parties across the globe are employing big data tools to reach and influence potential or undecided voters, it is crucial that citizens are made aware of the practices of mass data collection and online political microtargeting, and how these two phenomena can render them vulnerable to manipulation. By taking a closer look at the key figures behind the Cambridge Analytica scandal and the company’s strategies, this presentation aims to illustrate how the combined misuse of big data and big money could be threatening democracy. Lastly, it proposes ideas as to how democracy can be safeguarded in the Digital Age from the governmental to the individual level.
Democratic electoral systems around the world are facing ever greater threats of interference enabled by digital technologies that can be used to mislead voters in powerful ways. UCalgary experts examine how collection of voter data, micro-targeting, artificial intelligence and deepfake technologies are being used to influence election outcomes, as well as possible regulatory solutions for safeguarding Canada’s electoral system in the future. Watch the full webinar recording at https://explore.ucalgary.ca/elections-digital-age
Facebook has been blamed for data breech of India users before presidential in 2016 in US. Cambridge Analytica had harvested on the stolen data to analyze the election based on user messages. Here solution on how Facebook can avoid such situations in future has been stated.
Social media, the world of Facebook, Twitter and Youtube, have made an enormous
impact on our society.
Over the last five years, social media have changed the world of public order and
security as well as the investigation of crimes. One could even say a revolutionary
development is taking place. The meaning of this revolution might not be valued
yet, but it has and will continue to have great consequences when it comes to the
organization and methods of the police and it’s professional partners. Now, not only
the partners, but also civilians are playing an increasingly crucial part within the
security domain.
Case Analysis Presentation On Facebook Data BreachSiddhesh Shah
This case is basically all about Facebook data breach which was done through Cambridge Analytica Company, and allegation was charged on the Facebook company because this data breached was said to influence the US President Election.
Lots of data are used here from different perception. It may conflict with different issues. This file is used only study purposes. No claim will be accepted regarding authenticity and legal claim issue.
Web 2.0 Collective Intelligence - How to use collective intelligence techniqu...Paul Gilbreath
Source: http://www.helioteixeira.org/ How to use Collective Intelligence techniques to ensure that your web application can extract valuable data from its usage and deliver that value right back to the users. (MODULE 1)
How People Care about their Personal Datatheir Data Released onReleased on So...Kellyton Brito
Content sharing services have become immensely popular on the Web. More than 1 billion people use this kind of services to communicate with friends and exchange all sorts of information. In this new context, privacy guarantees are essential: guarantees about the potential release of data to unintended recipients and the use of user data by the service provider. Although the general public is concerned about privacy questions related to unintended audiences, data usage by service providers is still misunderstood. In order to further explore this level of misunderstanding, this work presents the results of a survey conducted among 900 people with the aim of discovering how people care about the use of their personal data by service providers in terms of social media. From the results, we found that: (i) in general people do not read license terms and do not know very much about service policies, and when presented with these policies people do not agree with them; (ii) a good number of people would support alternative models such as paying for privacy or selling their personal data; and (iii) there are some differences between generations in relation to how they care about their data.
Data! Action! Data journalism issues to watch in the next 10 yearsPaul Bradshaw
Keynote at the Nordic data journalism conference #NODA16 - an outline of issues facing data journalism which journalists and academics need to focus on in the next decade.
In issue 08, we examine the crucial nature and value of social data and why it has become essential for brands to perform all functions of branding, marketing and selling to their customers.
Cambridge Analytica as a Prime Example of the Manipulation of Democratic Deci...Anna Vollmer
In 2018 the now defunct big data analytics and political consulting firm Cambridge Analytica – which had been involved in the Trump presidential as well as the Brexit campaign – rose to international prominence after it was revealed that they had harvested millions of Facebook users’ data without their consent to subsequently target voters with highly personalized ads. As more and more political parties across the globe are employing big data tools to reach and influence potential or undecided voters, it is crucial that citizens are made aware of the practices of mass data collection and online political microtargeting, and how these two phenomena can render them vulnerable to manipulation. By taking a closer look at the key figures behind the Cambridge Analytica scandal and the company’s strategies, this presentation aims to illustrate how the combined misuse of big data and big money could be threatening democracy. Lastly, it proposes ideas as to how democracy can be safeguarded in the Digital Age from the governmental to the individual level.
Democratic electoral systems around the world are facing ever greater threats of interference enabled by digital technologies that can be used to mislead voters in powerful ways. UCalgary experts examine how collection of voter data, micro-targeting, artificial intelligence and deepfake technologies are being used to influence election outcomes, as well as possible regulatory solutions for safeguarding Canada’s electoral system in the future. Watch the full webinar recording at https://explore.ucalgary.ca/elections-digital-age
Facebook has been blamed for data breech of India users before presidential in 2016 in US. Cambridge Analytica had harvested on the stolen data to analyze the election based on user messages. Here solution on how Facebook can avoid such situations in future has been stated.
Social media, the world of Facebook, Twitter and Youtube, have made an enormous
impact on our society.
Over the last five years, social media have changed the world of public order and
security as well as the investigation of crimes. One could even say a revolutionary
development is taking place. The meaning of this revolution might not be valued
yet, but it has and will continue to have great consequences when it comes to the
organization and methods of the police and it’s professional partners. Now, not only
the partners, but also civilians are playing an increasingly crucial part within the
security domain.
Case Analysis Presentation On Facebook Data BreachSiddhesh Shah
This case is basically all about Facebook data breach which was done through Cambridge Analytica Company, and allegation was charged on the Facebook company because this data breached was said to influence the US President Election.
Lots of data are used here from different perception. It may conflict with different issues. This file is used only study purposes. No claim will be accepted regarding authenticity and legal claim issue.
Web 2.0 Collective Intelligence - How to use collective intelligence techniqu...Paul Gilbreath
Source: http://www.helioteixeira.org/ How to use Collective Intelligence techniques to ensure that your web application can extract valuable data from its usage and deliver that value right back to the users. (MODULE 1)
How People Care about their Personal Datatheir Data Released onReleased on So...Kellyton Brito
Content sharing services have become immensely popular on the Web. More than 1 billion people use this kind of services to communicate with friends and exchange all sorts of information. In this new context, privacy guarantees are essential: guarantees about the potential release of data to unintended recipients and the use of user data by the service provider. Although the general public is concerned about privacy questions related to unintended audiences, data usage by service providers is still misunderstood. In order to further explore this level of misunderstanding, this work presents the results of a survey conducted among 900 people with the aim of discovering how people care about the use of their personal data by service providers in terms of social media. From the results, we found that: (i) in general people do not read license terms and do not know very much about service policies, and when presented with these policies people do not agree with them; (ii) a good number of people would support alternative models such as paying for privacy or selling their personal data; and (iii) there are some differences between generations in relation to how they care about their data.
Data! Action! Data journalism issues to watch in the next 10 yearsPaul Bradshaw
Keynote at the Nordic data journalism conference #NODA16 - an outline of issues facing data journalism which journalists and academics need to focus on in the next decade.
In issue 08, we examine the crucial nature and value of social data and why it has become essential for brands to perform all functions of branding, marketing and selling to their customers.
The age of fractured truth – subhash dhuliyaGmeconline
This first phase of the information and technological revolution was facilitated by the integration of computers, telecommunication and satellite. A networked global ‘village’ had emerged. People had access to diverse sources of news and information. The Internet created numerous platforms of political, social and cultural interactions. There were high expectations that information will be democratized... Read More
Running Head SOCIAL NETWORKS DATA PRIVACY POLICIES1.docxtodd521
Running Head: SOCIAL NETWORKS DATA PRIVACY POLICIES 1
Social networking data privacy policies
Information Governance
Summer 2020
Ali, S., Islam, N., Rauf, A., Din, I. U., Guizani, M., & Rodriguez, J. P. (2018). Privacy and Security Issues in Online Social Networks
Social media are networks used for communication between data owners and viewers in virtual communities. The world has hence become a small global village; as a result, accordingly, information is shared seamlessly regardless of the geographical distance between people. There are, therefore, numerous social networks such as Facebook, LinkedIn, and Twitter, just to name a few, and with the help of the internet, people can link and communicate in real-time. When connecting with people from mobile devices, there is data that could be retrieved, indicating the location information and metadata embedded in the machines. Malicious users can hence retrieve this information and leverage it against other users.
The author makes it clear that with the new technology, presently, there is a lot more information available with the growth of online virtual communication platforms. Virtual networking platforms have changed the way people interact. People are always on their mobile devices browsing through social media sites, which is progressively attracting hackers and other cybercriminals. Due to this high usage, there are serious data security and privacy threats are facing social media users. The author is affirmative that the majority of the users are always sharing a lot of their personal information online, putting them at significant risks of the numerous methods of attacks.
This article is rather informative as the author is rather vocal about the reasons why people are continually being targeted by cybercriminals and made victims of attacks. It, therefore, clear on specific policies and strategies which one may implement to prevent them from falling victim to cyberattacks. One should refrain from sharing too much information on social networks, using real names when creating online profiles, and accepting friend requests from suspiciously looking accounts. Social network users must be keen and take the time to read the privacy statement before agreeing to the network's terms and conditions when creating reports.
Sarikakis, K., & Winter, L. (2017). Social Media Users’ Legal Consciousness About Privacy. Social Media + Society
Social network sites are on the upward trajectory, and they are still continuously growing with every mobile user in the world having been connected to an average of more that one social network. Social networks are mainly common among young adults aged between 18 years and 29 years. Users are becoming more comfortable sharing most of their personal details, which significantly challenges the social norm of privacy. The social model has hence become somewhat obsolete. According to the Electronic Frontier Foundation (EFF), which is a non-profit or.
International Journal of Business and Management Invention (IJBMI)inventionjournals
International Journal of Business and Management Invention (IJBMI) is an international journal intended for professionals and researchers in all fields of Business and Management. IJBMI publishes research articles and reviews within the whole field Business and Management, new teaching methods, assessment, validation and the impact of new technologies and it will continue to provide information on the latest trends and developments in this ever-expanding subject. The publications of papers are selected through double peer reviewed to ensure originality, relevance, and readability. The articles published in our journal can be accessed online
Internet Privacy Essay
Internet Privacy Essays
Internet Privacy
Essay On Internet Privacy
Internet and Personal Privacy Essay
Essay on Internet Privacy
Internet Privacy Essay
Internet Privacy.
Internet Privacy Essay
Internet Privacy Analysis
Techniques to optimize the pagerank algorithm usually fall in two categories. One is to try reducing the work per iteration, and the other is to try reducing the number of iterations. These goals are often at odds with one another. Skipping computation on vertices which have already converged has the potential to save iteration time. Skipping in-identical vertices, with the same in-links, helps reduce duplicate computations and thus could help reduce iteration time. Road networks often have chains which can be short-circuited before pagerank computation to improve performance. Final ranks of chain nodes can be easily calculated. This could reduce both the iteration time, and the number of iterations. If a graph has no dangling nodes, pagerank of each strongly connected component can be computed in topological order. This could help reduce the iteration time, no. of iterations, and also enable multi-iteration concurrency in pagerank computation. The combination of all of the above methods is the STICD algorithm. [sticd] For dynamic graphs, unchanged components whose ranks are unaffected can be skipped altogether.
Chatty Kathy - UNC Bootcamp Final Project Presentation - Final Version - 5.23...John Andrews
SlideShare Description for "Chatty Kathy - UNC Bootcamp Final Project Presentation"
Title: Chatty Kathy: Enhancing Physical Activity Among Older Adults
Description:
Discover how Chatty Kathy, an innovative project developed at the UNC Bootcamp, aims to tackle the challenge of low physical activity among older adults. Our AI-driven solution uses peer interaction to boost and sustain exercise levels, significantly improving health outcomes. This presentation covers our problem statement, the rationale behind Chatty Kathy, synthetic data and persona creation, model performance metrics, a visual demonstration of the project, and potential future developments. Join us for an insightful Q&A session to explore the potential of this groundbreaking project.
Project Team: Jay Requarth, Jana Avery, John Andrews, Dr. Dick Davis II, Nee Buntoum, Nam Yeongjin & Mat Nicholas
Data Centers - Striving Within A Narrow Range - Research Report - MCG - May 2...pchutichetpong
M Capital Group (“MCG”) expects to see demand and the changing evolution of supply, facilitated through institutional investment rotation out of offices and into work from home (“WFH”), while the ever-expanding need for data storage as global internet usage expands, with experts predicting 5.3 billion users by 2023. These market factors will be underpinned by technological changes, such as progressing cloud services and edge sites, allowing the industry to see strong expected annual growth of 13% over the next 4 years.
Whilst competitive headwinds remain, represented through the recent second bankruptcy filing of Sungard, which blames “COVID-19 and other macroeconomic trends including delayed customer spending decisions, insourcing and reductions in IT spending, energy inflation and reduction in demand for certain services”, the industry has seen key adjustments, where MCG believes that engineering cost management and technological innovation will be paramount to success.
MCG reports that the more favorable market conditions expected over the next few years, helped by the winding down of pandemic restrictions and a hybrid working environment will be driving market momentum forward. The continuous injection of capital by alternative investment firms, as well as the growing infrastructural investment from cloud service providers and social media companies, whose revenues are expected to grow over 3.6x larger by value in 2026, will likely help propel center provision and innovation. These factors paint a promising picture for the industry players that offset rising input costs and adapt to new technologies.
According to M Capital Group: “Specifically, the long-term cost-saving opportunities available from the rise of remote managing will likely aid value growth for the industry. Through margin optimization and further availability of capital for reinvestment, strong players will maintain their competitive foothold, while weaker players exit the market to balance supply and demand.”
Explore our comprehensive data analysis project presentation on predicting product ad campaign performance. Learn how data-driven insights can optimize your marketing strategies and enhance campaign effectiveness. Perfect for professionals and students looking to understand the power of data analysis in advertising. for more details visit: https://bostoninstituteofanalytics.org/data-science-and-artificial-intelligence/
Opendatabay - Open Data Marketplace.pptxOpendatabay
Opendatabay.com unlocks the power of data for everyone. Open Data Marketplace fosters a collaborative hub for data enthusiasts to explore, share, and contribute to a vast collection of datasets.
First ever open hub for data enthusiasts to collaborate and innovate. A platform to explore, share, and contribute to a vast collection of datasets. Through robust quality control and innovative technologies like blockchain verification, opendatabay ensures the authenticity and reliability of datasets, empowering users to make data-driven decisions with confidence. Leverage cutting-edge AI technologies to enhance the data exploration, analysis, and discovery experience.
From intelligent search and recommendations to automated data productisation and quotation, Opendatabay AI-driven features streamline the data workflow. Finding the data you need shouldn't be a complex. Opendatabay simplifies the data acquisition process with an intuitive interface and robust search tools. Effortlessly explore, discover, and access the data you need, allowing you to focus on extracting valuable insights. Opendatabay breaks new ground with a dedicated, AI-generated, synthetic datasets.
Leverage these privacy-preserving datasets for training and testing AI models without compromising sensitive information. Opendatabay prioritizes transparency by providing detailed metadata, provenance information, and usage guidelines for each dataset, ensuring users have a comprehensive understanding of the data they're working with. By leveraging a powerful combination of distributed ledger technology and rigorous third-party audits Opendatabay ensures the authenticity and reliability of every dataset. Security is at the core of Opendatabay. Marketplace implements stringent security measures, including encryption, access controls, and regular vulnerability assessments, to safeguard your data and protect your privacy.
Adjusting primitives for graph : SHORT REPORT / NOTESSubhajit Sahu
Graph algorithms, like PageRank Compressed Sparse Row (CSR) is an adjacency-list based graph representation that is
Multiply with different modes (map)
1. Performance of sequential execution based vs OpenMP based vector multiply.
2. Comparing various launch configs for CUDA based vector multiply.
Sum with different storage types (reduce)
1. Performance of vector element sum using float vs bfloat16 as the storage type.
Sum with different modes (reduce)
1. Performance of sequential execution based vs OpenMP based vector element sum.
2. Performance of memcpy vs in-place based CUDA based vector element sum.
3. Comparing various launch configs for CUDA based vector element sum (memcpy).
4. Comparing various launch configs for CUDA based vector element sum (in-place).
Sum with in-place strategies of CUDA mode (reduce)
1. Comparing various launch configs for CUDA based vector element sum (in-place).
3. Social Media as a Social Justice Tool
Social media has taken on a bigger role in today’s political climate.
As “Millennials, Social Media, and Social Justice” mentioned, due to social media, today’s leading
social organizations have no central location, finite guidelines, or leaders.
The Goal is to research Twitter for social media data that might give us more insight into the
mind of millennials while respecting their privacy excluded from social media privacy laws.
4. The rise of #BlackTwitter and Millennial Activism
One of the most popular social justice movements since the advent of social networking is the Black
Lives Matter movement. Formed after the killing of 17 year old Trayvon Martin, the movement is
focused on fostering systemic equality for black people in policing and public policy.
Black Twitter as (often represented as #BlackTwitter) has been a major resource for critical thinking
and engagement in activism on Twitter. Black twitter refers to a group of mostly like-minded
individuals on twitter who collectively comment, educate, and make memes based on popular
culture.
While black twitter is know for it’s clever jokes and “clapbacks” there are times where many truly took
an educational approach. It’s our job to draw insights that might help better police community
relations, race relations as a country, implement better polices and reform the criminal justice
system.
5. Ethical Issues
Many ethical issues arise when mining social media data for analysis:
Should police monitor social media data to flag potential offenders?
Can a user’s public opinion legally affect their employment or legal standing?
When we disagree on issues of importance, can we do so nonconfrontationally?
6. Privacy Issues
Many outspoken millennials worry that authorities watch their social media pages, thus stiffening their
current stance against social data mining.
The privacy issues that come up when mining social media data are:
Did the user consent to sharing their information for research purposes?
How will social media data be verified (posted by a real person) and anonymized (to protect a user’s
privacy)?
Informed consent, in my opinion, goes further than someone posting on social media.
Assuming that users know that what they post can be mined and analyzed freely with no rules,
regulations, or reasons why, is insufficient “consent”.
A major reason why users believe in social media privacy is due to convoluted wording from Social
Networking sites, a false sense of privacy created by “private messaging” and “anonymous” marketing.
A 2009 Study showed that 62% of respondents falsely believed that because a website has a website
policy it means they can’t share their data with other companies.
7. Profiling Issues
One of the large issues that come with mining social media data is profiling users based on
public profiles.
Should ones internet persona impact their real life (in cases where they aren’t threatening
violence against another person)?
Should a social media presence translate
8.
9. Conclusion
• When mining for social media data it’s best to make all research transparent. This means informing users
of what their data could be used for, and transparency in how social research is conducted.
• Many millennials use social media for a variety of reasons, and in many cases it includes staying up to
date with social issues and politics. For some, it also leads to an activism seen at rates that were previously
unprecedented.
• Millennials specifically continue to use social media to participate in social discourse, the legality of mining
these data for research are still unresoved. For now it remains completely legal, but as we’ve seen with the
UK creating more forward thinking data collection laws, it would be reasonable to believe this may
change in the next few years.
10. References
University of Chicago: https://socialsciences.uchicago.edu/news/black-youth-project-survey-first-
ever-%E2%80%98black-millennials-america%E2%80%99-report-released
On fairness: user perspectives on social media data mining:
https://www.academia.edu/11972918/On_fairness_user_perspectives_on_social_media_data_minin
g
Millennials, Social Media, and Social Justice: http://www.wupr.org/2016/06/09/millenials-social-
media-and-social-justice/
