This is the first lecture in the Social Web course (2013) at the VU University Amsterdam
Visit the website for more information: http://semanticweb.cs.vu.nl/socialweb2013/
This is a brief presentation intended to get instructors more comfortable with web 2.0 and social media sites. We cover several of the basic sites that lend themselves to educational use. We also discuss copyright, and university policy issues to keep in mind while using third party sites for educational activities.
Sina Weibo and other social media for academic networkingtbirdcymru
I shared this presentation at a seminar for scholars from Nantong University, which took place at University of Leicester 20 August 2015. It was a great opportunity to consider using tools which are often associated only with trivial and personal use, for use in educational networking and professional profiling.
This is a brief presentation intended to get instructors more comfortable with web 2.0 and social media sites. We cover several of the basic sites that lend themselves to educational use. We also discuss copyright, and university policy issues to keep in mind while using third party sites for educational activities.
Sina Weibo and other social media for academic networkingtbirdcymru
I shared this presentation at a seminar for scholars from Nantong University, which took place at University of Leicester 20 August 2015. It was a great opportunity to consider using tools which are often associated only with trivial and personal use, for use in educational networking and professional profiling.
Discusses tools and tips for implementing innovative services with free social media tools and mobile apps applied in libraries and other working environments. Iincludes apps supporting the latest trends in cloud storage, crowdfunding, ebooks, makerspaces, MOOCs, news aggregation, photo and video sharing, self-publishing, social networking and bookmarking, video conferencing, visualization and wearable technology --all tailored to the needs of libraries and the communities they serve.
Building and maintaining your digital research profiletbirdcymru
Workshop shared with colleagues at School of Education Summer School, 27 June 2015. A digital research profile is what a researcher wants to share about herself and her work online, including some work which may be created online, and research which may be conducted online.
Using Social Media & Web 2.0 to Build Community in Online CoursesE S
This presentation outlines how higher ed instructors can use web 2.0 sites to build more cohesive learning communities around their hybrid and online courses.
Presentation shared with Colleges-University of Leicester Network Conference 16 June 2015. A look at Bring Your Own Device initiatives in comparison with institutionally-purchased-device initiatives, for mobile learning.
Blogs, Wikis and more: Web 2.0 demystified for information professionalsMarieke Guy
Marieke Guy from UKOLN will help you find out how Web 2.0 applications are being used in libraries and information centres, and what actually works. Blogs, wikis, RSS? Podcasts, Slideshare, Flickr and del.icio.us? Social Networking, Social Bookmarking and Video Sharing are the buzz words.
Learn how to combine principles of effective web design with Springshare's LibGuides so you can create better research guides for your patrons.
There are notes on a handful of slides, in particular, those which are untitled.
Lecture 1: Social Web Introduction (2014)Lora Aroyo
This is the first lecture in the Social Web course (2014) at the VU University Amsterdam. Visit the website for more information: http://thesocialweb2014.wordpress.com/
Discusses tools and tips for implementing innovative services with free social media tools and mobile apps applied in libraries and other working environments. Iincludes apps supporting the latest trends in cloud storage, crowdfunding, ebooks, makerspaces, MOOCs, news aggregation, photo and video sharing, self-publishing, social networking and bookmarking, video conferencing, visualization and wearable technology --all tailored to the needs of libraries and the communities they serve.
Building and maintaining your digital research profiletbirdcymru
Workshop shared with colleagues at School of Education Summer School, 27 June 2015. A digital research profile is what a researcher wants to share about herself and her work online, including some work which may be created online, and research which may be conducted online.
Using Social Media & Web 2.0 to Build Community in Online CoursesE S
This presentation outlines how higher ed instructors can use web 2.0 sites to build more cohesive learning communities around their hybrid and online courses.
Presentation shared with Colleges-University of Leicester Network Conference 16 June 2015. A look at Bring Your Own Device initiatives in comparison with institutionally-purchased-device initiatives, for mobile learning.
Blogs, Wikis and more: Web 2.0 demystified for information professionalsMarieke Guy
Marieke Guy from UKOLN will help you find out how Web 2.0 applications are being used in libraries and information centres, and what actually works. Blogs, wikis, RSS? Podcasts, Slideshare, Flickr and del.icio.us? Social Networking, Social Bookmarking and Video Sharing are the buzz words.
Learn how to combine principles of effective web design with Springshare's LibGuides so you can create better research guides for your patrons.
There are notes on a handful of slides, in particular, those which are untitled.
Lecture 1: Social Web Introduction (2014)Lora Aroyo
This is the first lecture in the Social Web course (2014) at the VU University Amsterdam. Visit the website for more information: http://thesocialweb2014.wordpress.com/
Lecture 3: Vocabularies & Data Formats on the Social Web (2014)Lora Aroyo
This is the third lecture in the Social Web course (2014) at the VU University Amsterdam. Visit the website for more information: http://thesocialweb2014.wordpress.com/
Libraries and social networking: impact and challenges in today's generationFe Angela Verzosa
presented by Fe Angela M. Verzosa at the forum sponsored by St. Thomas of Villanova Main Library, San Sebastian College-Recoletos de Cavite, Cavite City on November 2010
Social Communications: Getting Prepared and Making it HappenMorris County NJ
With the proliferation of social channels, where should public libraries be and why should they be there? What should they post, and how can they build public interest in their social networking? This presentation includes suggestions for effective use of social communications.
How Social Media Can Enhance Your Research Activitieslisbk
Slides for a talk on "How Social Media Can Enhance Your Research Activities" given by Brian Kelly, Innovation Advocate at Cetis, University of Bolton at the IRISS Research Unbound conference in Glasgow on 21 February 2014.
See http://ukwebfocus.wordpress.com/events/iriss-2014-how-social-media-can-enhance-your-research-activities/
Social Web lecture for Matching dag IMM 2016Victor de Boer
Social Web lecture for Matching dag IMM 2016. With input from Davide Ceolin, Lora Aroyo.
Hands on session instructions can be found here: https://docs.google.com/document/d/1XW4UBr_dZeejI2Rp8T4tHaDxNrGsu4xxlVJh91s2AGM/edit#heading=h.jel9otx51ed
Social Media 101: Classroom Collaboration after the Bell
Topics: General Technology, Internet Tools
Last updated: March 2012
Download: PowerPoint presentation (5.7 MB)
Confused by all the talk about Twitter, Google+, Yelp, Reddit, and the like? This session is for you! Join Patrick Crispen as he helps demystify the world of social media, tours some of the most popular social media sites and tools, and gives you some field-tested tips and tricks to use web-enabled and mobile technologies to extend your classroom discussions beyond the end of the school day.
by Patrick Crispen
Several statistics show that the general public holds a wide interest on scientific issues. However, the public rarely finds their way to academic arenas. It has been estimated that every year over two million scientific articles and reports are published, but roughly half of them are read only by the author and the editors.
Public discussions are increasingly taking place in social media. Different online media are reported as central information sources when searching for scientific information. What can we do as researchers to help people to find the information they look for? How to make a researcher's voice heard online?
Communicating about one's research in social media means creating societal impact and defending a scientific worldview. In this workshop we will focus on practical tips and good examples on how to engage in different social media services as a researcher.
Salla-Maaria Laaksonen (@jahapaula) is a PhD Candidate and Researcher in Communication Research Centre CRC and Consumer Society Research Centre in the University of Helsinki. Her research areas are focused on the online public sphere from the perspective of organizations and storytelling. She has trained researchers to communicate and network online in several different research units.
A brown bag session for Helsinki Collegium for Advanced Studies, Novermber 17th 2015.
Similar to Lecture 1: Social Web Introduction (2013) (20)
The Rijksmuseum Collection as Linked DataLora Aroyo
Presentation at ISWC2018: http://iswc2018.semanticweb.org/sessions/the-rijksmuseum-collection-as-linked-data/ of our paper published originally in the Semantic Web Journal: http://www.semantic-web-journal.net/content/rijksmuseum-collection-linked-data-2
Many museums are currently providing online access to their collections. The state of the art research in the last decade shows that it is beneficial for institutions to provide their datasets as Linked Data in order to achieve easy cross-referencing, interlinking and integration. In this paper, we present the Rijksmuseum linked dataset (accessible at http://datahub.io/dataset/rijksmuseum), along with collection and vocabulary statistics, as well as lessons learned from the process of converting the collection to Linked Data. The version of March 2016 contains over 350,000 objects, including detailed descriptions and high-quality images released under a public domain license.
FAIRview: Responsible Video Summarization @NYCML'18Lora Aroyo
Presentation at the NYC Media Lab (NYCML2018). There is a growing demand for news videos online, with more consumers preferring to watch the news than read or listen to it. On the publisher side, there is a growing effort to use video summarization technology in order to create easy-to-consume previews (trailers) for different types of broadcast programs. How can we measure the quality of video summaries and their potential to misinform? This workshop will inform participants about automatic video summarization algorithms and how to produce more “representative” video summaries. The research presented is from the FAIRview project and is supported by the Digital News Innovation Fund (DNI Fund), which is part of the Google News Initiative.
DH Benelux 2017 Panel: A Pragmatic Approach to Understanding and Utilising Ev...Lora Aroyo
Lora Aroyo, Chiel van den Akker, Marnix van Berchum, Lodewijk
Petram, Gerard Kuys, Tommaso Caselli, Jacco van Ossenbruggen, Victor de Boer, Sabrina Sauer, Berber Hagedoorn
Crowdsourcing ambiguity aware ground truth - collective intelligence 2017Lora Aroyo
The process of gathering ground truth data through human annotation is a major bottleneck in the use of information extraction methods. Crowdsourcing-based approaches are gaining popularity in the attempt to solve the issues related to the volume of data and lack of annotators. Typically these practices use inter-annotator agreement as a measure of quality. However, this assumption often creates issues in practice. Previous experiments we performed found that inter-annotator disagreement is usually never captured, either because the number of annotators is too small to capture the full diversity of opinion, or because the crowd data is aggregated with metrics that enforce consensus, such as majority vote. These practices create artificial data that is neither general nor reflects the ambiguity inherent in the data.
To address these issues, we proposed the method for crowdsourcing ground truth by harnessing inter-annotator disagreement. We present an alternative approach for crowdsourcing ground truth data that, instead of enforcing an agreement between annotators, captures the ambiguity inherent in semantic annotation through the use of disagreement-aware metrics for aggregating crowdsourcing responses. Based on this principle, we have implemented the CrowdTruth framework for machine-human computation, that first introduced the disagreement-aware metrics and built a pipeline to process crowdsourcing data with these metrics.
In this paper, we apply the CrowdTruth methodology to collect data over a set of diverse tasks: medical relation extraction, Twitter event identification, news event extraction and sound interpretation. We prove that capturing disagreement is essential for acquiring a high-quality ground truth. We achieve this by comparing the quality of the data aggregated with CrowdTruth metrics with a majority vote, a method which enforces consensus among annotators. By applying our analysis over a set of diverse tasks we show that, even though ambiguity manifests differently depending on the task, our theory of inter-annotator disagreement as a property of ambiguity is generalizable.
My ESWC 2017 keynote: Disrupting the Semantic Comfort ZoneLora Aroyo
Ambiguity in interpreting signs is not a new idea, yet the vast majority of research in machine interpretation of signals such as speech, language, images, video, audio, etc., tend to ignore ambiguity. This is evidenced by the fact that metrics for quality of machine understanding rely on a ground truth, in which each instance (a sentence, a photo, a sound clip, etc) is assigned a discrete label, or set of labels, and the machine’s prediction for that instance is compared to the label to determine if it is correct. This determination yields the familiar precision, recall, accuracy, and f-measure metrics, but clearly presupposes that this determination can be made. CrowdTruth is a form of collective intelligence based on a vector representation that accommodates diverse interpretation perspectives and encourages human annotators to disagree with each other, in order to expose latent elements such as ambiguity and worker quality. In other words, CrowdTruth assumes that when annotators disagree on how to label an example, it is because the example is ambiguous, the worker isn’t doing the right thing, or the task itself is not clear. In previous work on CrowdTruth, the focus was on how the disagreement signals from low quality workers and from unclear tasks can be isolated. Recently, we observed that disagreement can also signal ambiguity. The basic hypothesis is that, if workers disagree on the correct label for an example, then it will be more difficult for a machine to classify that example. The elaborate data analysis to determine if the source of the disagreement is ambiguity supports our intuition that low clarity signals ambiguity, while high clarity sentences quite obviously express one or more of the target relations. In this talk I will share the experiences and lessons learned on the path to understanding diversity in human interpretation and the ways to capture it as ground truth to enable machines to deal with such diversity.
Data Science with Human in the Loop @Faculty of Science #Leiden UniversityLora Aroyo
Software systems are becoming ever more intelligent and more useful, but the way we interact with these machines too often reveals that they don’t actually understand people. Knowledge Representation and Semantic Web focus on the scientific challenges involved in providing human knowledge in machine-readable form. However, we observe that various types of human knowledge cannot yet be captured by machines, especially when dealing with wide ranges of real-world tasks and contexts. The key scientific challenge is to provide an approach to capturing human knowledge in a way that is scalable and adequate to real-world needs. Human Computation has begun to scientifically study how human intelligence at scale can be used to methodologically improve machine-based knowledge and data management. My research is focusing on understanding human computation for improving how machine-based systems can acquire, capture and harness human knowledge and thus become even more intelligent. In this talk I will show how the CrowdTruth framework (http://crowdtruth.org) facilitates data collection, processing and analytics of human computation knowledge.
Some project links:
- http://controcurator.org/
- http://crowdtruth.org/
- http://diveproject.beeldengeluid.nl/
- http://vu-amsterdam-web-media-group.github.io/linkflows/
JMeter webinar - integration with InfluxDB and GrafanaRTTS
Watch this recorded webinar about real-time monitoring of application performance. See how to integrate Apache JMeter, the open-source leader in performance testing, with InfluxDB, the open-source time-series database, and Grafana, the open-source analytics and visualization application.
In this webinar, we will review the benefits of leveraging InfluxDB and Grafana when executing load tests and demonstrate how these tools are used to visualize performance metrics.
Length: 30 minutes
Session Overview
-------------------------------------------
During this webinar, we will cover the following topics while demonstrating the integrations of JMeter, InfluxDB and Grafana:
- What out-of-the-box solutions are available for real-time monitoring JMeter tests?
- What are the benefits of integrating InfluxDB and Grafana into the load testing stack?
- Which features are provided by Grafana?
- Demonstration of InfluxDB and Grafana using a practice web application
To view the webinar recording, go to:
https://www.rttsweb.com/jmeter-integration-webinar
DevOps and Testing slides at DASA ConnectKari Kakkonen
My and Rik Marselis slides at 30.5.2024 DASA Connect conference. We discuss about what is testing, then what is agile testing and finally what is Testing in DevOps. Finally we had lovely workshop with the participants trying to find out different ways to think about quality and testing in different parts of the DevOps infinity loop.
UiPath Test Automation using UiPath Test Suite series, part 3DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 3. In this session, we will cover desktop automation along with UI automation.
Topics covered:
UI automation Introduction,
UI automation Sample
Desktop automation flow
Pradeep Chinnala, Senior Consultant Automation Developer @WonderBotz and UiPath MVP
Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP
Essentials of Automations: Optimizing FME Workflows with ParametersSafe Software
Are you looking to streamline your workflows and boost your projects’ efficiency? Do you find yourself searching for ways to add flexibility and control over your FME workflows? If so, you’re in the right place.
Join us for an insightful dive into the world of FME parameters, a critical element in optimizing workflow efficiency. This webinar marks the beginning of our three-part “Essentials of Automation” series. This first webinar is designed to equip you with the knowledge and skills to utilize parameters effectively: enhancing the flexibility, maintainability, and user control of your FME projects.
Here’s what you’ll gain:
- Essentials of FME Parameters: Understand the pivotal role of parameters, including Reader/Writer, Transformer, User, and FME Flow categories. Discover how they are the key to unlocking automation and optimization within your workflows.
- Practical Applications in FME Form: Delve into key user parameter types including choice, connections, and file URLs. Allow users to control how a workflow runs, making your workflows more reusable. Learn to import values and deliver the best user experience for your workflows while enhancing accuracy.
- Optimization Strategies in FME Flow: Explore the creation and strategic deployment of parameters in FME Flow, including the use of deployment and geometry parameters, to maximize workflow efficiency.
- Pro Tips for Success: Gain insights on parameterizing connections and leveraging new features like Conditional Visibility for clarity and simplicity.
We’ll wrap up with a glimpse into future webinars, followed by a Q&A session to address your specific questions surrounding this topic.
Don’t miss this opportunity to elevate your FME expertise and drive your projects to new heights of efficiency.
Elevating Tactical DDD Patterns Through Object CalisthenicsDorra BARTAGUIZ
After immersing yourself in the blue book and its red counterpart, attending DDD-focused conferences, and applying tactical patterns, you're left with a crucial question: How do I ensure my design is effective? Tactical patterns within Domain-Driven Design (DDD) serve as guiding principles for creating clear and manageable domain models. However, achieving success with these patterns requires additional guidance. Interestingly, we've observed that a set of constraints initially designed for training purposes remarkably aligns with effective pattern implementation, offering a more ‘mechanical’ approach. Let's explore together how Object Calisthenics can elevate the design of your tactical DDD patterns, offering concrete help for those venturing into DDD for the first time!
Key Trends Shaping the Future of Infrastructure.pdfCheryl Hung
Keynote at DIGIT West Expo, Glasgow on 29 May 2024.
Cheryl Hung, ochery.com
Sr Director, Infrastructure Ecosystem, Arm.
The key trends across hardware, cloud and open-source; exploring how these areas are likely to mature and develop over the short and long-term, and then considering how organisations can position themselves to adapt and thrive.
Encryption in Microsoft 365 - ExpertsLive Netherlands 2024Albert Hoitingh
In this session I delve into the encryption technology used in Microsoft 365 and Microsoft Purview. Including the concepts of Customer Key and Double Key Encryption.
Kubernetes & AI - Beauty and the Beast !?! @KCD Istanbul 2024Tobias Schneck
As AI technology is pushing into IT I was wondering myself, as an “infrastructure container kubernetes guy”, how get this fancy AI technology get managed from an infrastructure operational view? Is it possible to apply our lovely cloud native principals as well? What benefit’s both technologies could bring to each other?
Let me take this questions and provide you a short journey through existing deployment models and use cases for AI software. On practical examples, we discuss what cloud/on-premise strategy we may need for applying it to our own infrastructure to get it to work from an enterprise perspective. I want to give an overview about infrastructure requirements and technologies, what could be beneficial or limiting your AI use cases in an enterprise environment. An interactive Demo will give you some insides, what approaches I got already working for real.
Generating a custom Ruby SDK for your web service or Rails API using Smithyg2nightmarescribd
Have you ever wanted a Ruby client API to communicate with your web service? Smithy is a protocol-agnostic language for defining services and SDKs. Smithy Ruby is an implementation of Smithy that generates a Ruby SDK using a Smithy model. In this talk, we will explore Smithy and Smithy Ruby to learn how to generate custom feature-rich SDKs that can communicate with any web service, such as a Rails JSON API.
Epistemic Interaction - tuning interfaces to provide information for AI supportAlan Dix
Paper presented at SYNERGY workshop at AVI 2024, Genoa, Italy. 3rd June 2024
https://alandix.com/academic/papers/synergy2024-epistemic/
As machine learning integrates deeper into human-computer interactions, the concept of epistemic interaction emerges, aiming to refine these interactions to enhance system adaptability. This approach encourages minor, intentional adjustments in user behaviour to enrich the data available for system learning. This paper introduces epistemic interaction within the context of human-system communication, illustrating how deliberate interaction design can improve system understanding and adaptation. Through concrete examples, we demonstrate the potential of epistemic interaction to significantly advance human-computer interaction by leveraging intuitive human communication strategies to inform system design and functionality, offering a novel pathway for enriching user-system engagements.
Connector Corner: Automate dynamic content and events by pushing a buttonDianaGray10
Here is something new! In our next Connector Corner webinar, we will demonstrate how you can use a single workflow to:
Create a campaign using Mailchimp with merge tags/fields
Send an interactive Slack channel message (using buttons)
Have the message received by managers and peers along with a test email for review
But there’s more:
In a second workflow supporting the same use case, you’ll see:
Your campaign sent to target colleagues for approval
If the “Approve” button is clicked, a Jira/Zendesk ticket is created for the marketing design team
But—if the “Reject” button is pushed, colleagues will be alerted via Slack message
Join us to learn more about this new, human-in-the-loop capability, brought to you by Integration Service connectors.
And...
Speakers:
Akshay Agnihotri, Product Manager
Charlie Greenberg, Host
3. Goals of the course
• understand & try how the Social Web works
•
•
•
•
•
•
What IS the Social Web & Social Computing?
What people DO on the Social Web?
How is DATA on the Social Web ACCESSED?
How is DATA on the Social Web STUDIED?
What are typical Social Web APPLICATIONS?
What are CHALLENGES on the Social Web?
Social Web 2014, Lora Aroyo!
Monday, February 3, 14
4. You will learn about
•
•
•
•
•
•
•
data formats
social web platforms
data mining, analysis, visualization & reuse
across applications
user-generated content
personalization in Social Web
applications
interdisciplinary research
critical thinking
Social Web 2014, Lora Aroyo!
Monday, February 3, 14
5. Format of the course
•
•
•
Lots of WORK, but also lots of FUN
Lots of different interaction
post a question or a discussion point by Sunday 17:00
vote on questions by Monday 10:00
discuss on selected topics during lectures on Monday
group work during hands-on sessions
presentations of final assignments
Use your own name or VUNetID for identification on
the website postings
•
•
•
•
•
Social Web 2014, Lora Aroyo!
Monday, February 3, 14
6. How does it work
• Before the Lectures: do the required reading & assignments
• Assignments & Hands-on: done in groups
•
use Skype, Dropbox, Google Docs to organize & plan your
work
• state who did what in the “Acknowledgements” section
• use document template: ACM SIG proceedings style; PDF only
• name of the file: [group#]_[handson#]; [group#]_[assignment#]
• include the names of all group members & group# on the title
page of your reports
Social Web 2014, Lora Aroyo!
Monday, February 3, 14
7. Schedule
• Interactive Lectures: Mondays 1:30-3:15
• assignments & hands-on are introduced
during lecture
• Hands-on Sessions: Thursdays 11:00-12:45
• practical exercises & work on assignments
• Final Presentations: in week 12
Social Web 2014, Lora Aroyo!
Monday, February 3, 14
8. Grading
• Assignment 1 (15%)
• Assignment 2 (15%)
• Assignment 3 (15%)
• Final Assignment: application & presentation (15%)
• Final Assignment: individual report (30%)
• Questions/Discussion (10%)
Social Web 2014, Lora Aroyo!
Monday, February 3, 14
10. “digital technology
is changing both how words and ideas are created
and proliferate, and how they are studied.”
Social Web 2014, Lora Aroyo!
Monday, February 3, 14
11. social media is a rich
resource that provides
“a fuller picture of today’s cultural norms, dialogue,
trends and events to inform scholarship, the
legislative process, new works of authorship,
education and other purposes.”
Social Web 2014, Lora Aroyo!
Monday, February 3, 14
12. How much content is
consumed & created
every second?
Social Web 2014, Lora Aroyo!
Monday, February 3, 14
13. Twitter record:
•
•
9000 tweets/s during MTV
Video Music Awards (Beyonce
pregnant)
•
Monday, February 3, 14
8000 tweets/s during
Madonna’s performance
•
Social Web 2014, Lora Aroyo!
10.000 tweets/s in last 3 min of
Super Bowl
7200 tweets/s before the end
of the WC for women’s
football (Japan beats US), july
2011
Library of Congress
archive of public Twitter
messages reached 170
billion tweets and rising,
by about 500 million
tweets a day
16. 2011 on the Social Web
• 18.1 million people following Lady Gaga - most popular user in 2011
• 250 million tweets per day (October 2011)
• 1 – #egypt was the number one hashtag on Twitter
• 8,868 tweets per second in August for the MTV Video Music Awards
• $50,000 – raised for charity by the most retweeted tweet of 2011
• 39 million Tumblr blogs by the end of 2011
• 70 million WordPress blogs by the end of 2011
• 1 billion messages sent with WhatsApp during one day (Oct 2011)
• 2.4 billion social networking accounts worldwide
http://royal.pingdom.com/2012/01/17/internet-2011-in-numbers/
Social Web 2014, Lora Aroyo!
Monday, February 3, 14
17. 2012 on the Social Web
• 85,962 monthly posts by Facebook Pages in Brazil; most active country on FB
• 2.7 billion likes on Facebook every day
• 819,000+ retweets of Barack Obama’s tweet “Four more years” (most retweets ever)
• 327,452 tweets per minute when Barack Obama was re-elected (most ever)
• 9.66 million tweets during the opening ceremony of the London 2012 olympics
• 175 million - average number of tweets every day in 2012
• 307 tweets by the average Twitter user
• 51 – average number of followers per Twitter user
• 163 billion tweets since Twitter started
• 123 heads of state that have a Twitter account
• 187 million members on LinkedIn (September 2012)
• 135 million monthly active users on Google+
• 5 billion times per day the +1 button on Google+ is used
http://royal.pingdom.com/2013/01/16/internet-2012-in-numbers/
Social Web 2014, Lora Aroyo!
Monday, February 3, 14
19. Our goal is to ...
understand the practices, implications, culture, & meaning of the
sites, as well as users' engagement with them
include this understanding as part of software engineering for the
new social world
Social Web 2014, Lora Aroyo!
Monday, February 3, 14
20. How did it all start?
Social Web 2014, Lora Aroyo!
Monday, February 3, 14
21. Some Historical Facts
•
Before 1997: AIM, ICQ,
Classmates.com
•
1997: SixDegrees.com combining all in one (2000 the
service went offline) - not
enough user base, not enough
interaction
•
1997 - 2001: AsianAvenue,
BlackPlanet, MiGente,
LiveJournal, Cyworld (Korean),
LunarStorm (Swedish)
•
2001: professional networks Ryze.com (San Francisco
business and technology
community), Tribe.net, LinkedIn
Social Web 2014, Lora Aroyo!
Monday, February 3, 14
22. 2002: Rise & Fall
•
Friendster - a social complement to
Ryze to compete with Match.com online dating site
•
early adopters: bloggers, attendees of
the Burning Man arts festival & gay
men
•
300,000 users in 2003 and it couldn’t
handle its rapid growth
•
started restricted access to profiles,
e.g. not more than four degrees away
•
"Fakesters": fake profiles representing
iconic fictional characters: celebrities,
concepts
•
failures: Google's Orkut failed &
Microsoft's Windows Live Spaces
(a.k.a. MSN Spaces)
Social Web 2014, Lora Aroyo!
Monday, February 3, 14
23. 2003: Mainstream
•
YASNS: "Yet Another Social
Networking Service." (Clay Shirky)
•
professional: LinkedIn,Visible Path,
Xing (formerly openBC)
•
passion-centric: Dogster (dogs),
Care2 (activists), Couchsurfing
(travel), MyChurch (christian), Flickr
(photos), Last.FM (music),YouTube
(video)
•
MySpace to compete with Friendster,
Xanga, AsianAvenue; 2004 massive
popularity (bands, teenagers); 2005
News Corporation purchase for $580
•
popularity in Philippines, Singapore,
Malaysia & Indonesia
Social Web 2014, Lora Aroyo!
Monday, February 3, 14
25. 2001: Wikipedia
2000: Nupedia - articles written by experts licensed as free content
founded by Jimmy Wales with Larry Sanger (editor-in-chief)
2001: Wikipedia - a side-project of Nupedia, to allow collaboration on articles prior
to entering the peer-review process
Articles: 19,700 (2002), 3,835,000 (2012), 4,157,698 (2013)
Wiki pages: 29,355,491 (2013)
Social Web 2014, Lora Aroyo!
Monday, February 3, 14
26. 2001: Wikipedia
2000: Nupedia - articles written by experts licensed as free content
founded by Jimmy Wales with Larry Sanger (editor-in-chief)
2001: Wikipedia - a side-project of Nupedia, to allow collaboration on articles prior
to entering the peer-review process
Articles: 19,700 (2002), 3,835,000 (2012), 4,157,698 (2013)
Wiki pages: 29,355,491 (2013)
Social Web 2014, Lora Aroyo!
Monday, February 3, 14
27. Issues
creators!
1!
Community-based Systems
• Participation vs. lurking
• Social capital
• Social networking
• Trust and reputation
• Privacy and presence
10!
Synthesizers!
100!
consumers!
Peter Brusilovsky, Social Web Course, University of Pittsburgh
Social Web 2014, Lora Aroyo!
Monday, February 3, 14
29. 2005: Facebook
including other universities, high school students, professionals
inside corporate networks, and, eventually - everyone
ability for outside developers to build "Applications"
Social Web 2014, Lora Aroyo!
Monday, February 3, 14
30. 2007: Facebook API
Platform that consists of
a Facebook variant of HTML =
Facebook Markup Language (FBML)
a Facebook variant of SQL =
FQL (Facebook Query Language)
not based on open standards
sites support: Bebo & Meebo
Social Web 2014, Lora Aroyo!
Monday, February 3, 14
32. 2012: Facebook Goes Public
“ ... eight years after its
computer-hacking CEO Mark
Zuckerberg started the service
at Harvard University."
"We cannot assure you that
we will effectively manage
our growth."
"... it hopes to raise $5 billion in its
IPO. That would be the most for an
Internet IPO since Google Inc. and
its early backers raised $1.9 billion
in 2004."
Social Web 2014, Lora Aroyo!
Monday, February 3, 14
36. •
•
•
•
•
Launched July 2006 by Jack Dorsey
•
"the SMS of the Internet"
500 million registered users (2012)
340 million tweets daily
1.6 billion search queries daily
ten most visited websites on the
Internet
Social Web 2014, Lora Aroyo!
Monday, February 3, 14
37. •
•
•
launched June 28, 2011
•
•
•
•
•
•
•
•
Stream, Circles, Hashtags, "What's hot" Stream
500 million registered users (2012), 235 million active on a monthly basis
"social layer" consisting of not just a single site, but rather an overarching
"layer"
Hangouts & Hangouts On-Air (instant webcasts over Google+)
Sparks - front-end to Google Search
Data Liberation
Ripples - re-sharing activity regarding a public post
Google+ Pages for organizations,
Google+ Local (former Google Places)
Google+ Events
Social Web 2014, Lora Aroyo!
Monday, February 3, 14
39. * Forrester Research (2008), http:// wwwforrester.com/ResearchThemes/SocialComputing
Social Computing
•
•
interdisciplinary study
•
•
internet provides a good platform for emerging social structures
social structure where technology puts power in communities (not
institutions)
manifestos of social computing, e.g. social networks, blogs, podcasting,
tagging, meet-ups, mash-ups, social search, user-generated-content,
wikis, P2P content distribution, RSS, open source software, etc.*
Social Web 2014, Lora Aroyo!
Monday, February 3, 14
40. “Tenets of Social
Computing”*
• innovation will shift from top-down to
bottom-up
• value will shift from ownership to
experience
• power will shift from institutions to
communities
* Charlene Li (2006), http://www.socialcustomer.com/2006/02/the_forrester_s.html
Social Web 2014, Lora Aroyo!
Monday, February 3, 14
41. New Means of
Communication
•
beyond email, text messaging, and mobile
phone
•
asynchronous (not requiring real-time
response)
•
a lot of the communication seems irrelevant
& trivial
•
•
some can be helpful & interesting
•
celebrities & organizations use it to
communicate with their fan bases & audience
for self-promotion
many people (especially the teenagers)
addicted to this new mode of communication
Social Web 2014, Lora Aroyo!
Monday, February 3, 14
42. New Form of
Communities
•
•
Social Web sites are in essence online communities
•
Groups around any type of interest, hobby, or
cause, where people can help one another with
information, advice, and personal networks
Groups around a number of natural attributes of
the members, e.g. schools attended, employers,
cities of residence.
Example: the role of communities in “the Arab Spring”
Social Web 2014, Lora Aroyo!
Monday, February 3, 14
43. New Source of
Knowledge
•
•
•
•
•
beyond what search engines can dig into
people can dig into their network of connections
to find answers to questions
•
folklore knowledge
friends-based news updates
friends-based serendipity
‘‘worldwide directories’’ of people
Social Web 2014, Lora Aroyo!
Monday, February 3, 14
44. New Source of
Knowledge
•
•
•
•
•
beyond what search engines can dig into
people can dig into their network of connections
to find answers to questions
•
folklore knowledge
friends-based news updates
friends-based serendipity
‘‘worldwide directories’’ of people
Social Web 2014, Lora Aroyo!
Monday, February 3, 14
45. New Source of
Entertainment
•
Most people need to entertain
themselves to enjoy life, to recharge
themselves, and to pass the time
•
That’s why people have accounts on
several social Web sites, and visit
them rather diligently and regularly
•
People got catapulted to worldwide
fame after they appeared on
YouTube
Social Web 2014, Lora Aroyo!
Monday, February 3, 14
46. New Venue for
Self-expression
•
a surprisingly large number of people
have had a strong desire for selfexpression and desire for self-satisfaction
that comes from helping others
•
a major reason for the Wikipedia
success, where more than 10 mil articles
have been contributed by thousands of
volunteers without financial incentives
•
the personal posting many people do
appears to help them to derive a sense of
‘self-assurance and belonging’
Social Web 2014, Lora Aroyo!
Monday, February 3, 14
47. Social web sites
=
social networking sites
+
social media sites
Social Web 2014, Lora Aroyo!
Monday, February 3, 14
48. Social Sites Categories
• Social networking sites (open vs. closed)
• General-purpose, e.g. Facebook, LinkedIn
• Vertical, e.g. Dogster, Couchsurfing
• Social media sites (open vs. closed)
• Media types, e.g. Flickr (photos), Last.FM
(music),YouTube (video)
* Won Kim, Ok-Ran Jeong, Sang-Won Lee (2010). On social Web sites. Information Systems 35, 215–236
Social Web 2014, Lora Aroyo!
Monday, February 3, 14
49. Diversity in Cultures
•
•
•
•
•
•
•
MySpace - US & abroad
Friendster - Pacific Islands
Orkut - Brazil, India
Mixi - Japan
LunarStorm - Sweden
Hyves - the Netherlands
Grono - Poland
•
Hi5 - Latin & South America,
Europe
•
Bebo - UK, New Zealand &
Australia
•
•
•
•
QQ - China
Cyworld - Korea
Skyrock - France
Windows Live Spaces Mexico, Italy, and Spain
Social Web 2014, Lora Aroyo!
Monday, February 3, 14
50. 2011: FB vs. Orkut in Brazil
http://mashable.com/2012/01/17/facebook-beats-orkut-brazil/
Social Web 2014, Lora Aroyo!
Monday, February 3, 14
52. Diversity in Activities
•
aSmallWorld & BeautifulPeople
intentionally restrict access to
appear selective and elite
•
Usenet & public discussion
forums - structured by topics
or topical hierarchies
•
•
•
•
Couchsurfing: activity-centered
•
"egocentric" - social network
sites are structured as
personal networks - individual
at the center of their own
community
•
accurately mirrors unmediated
social structures: "the world is
composed of networks, not
groups"
BlackPlanet: identity-driven
MyChurch: affiliation-focused
niche social network on Ning a platform & hosting service
for users to create their own
SNSs
Social Web 2014, Lora Aroyo!
Monday, February 3, 14
53. SNS: Features
•
•
Personal profiles
•
Participating in online
groups
•
Communicating with online
connections
•
Sharing user generated
content
•
•
•
Expressing opinions
Establishing online
connections
Finding information
Retaining users
Social Web 2014, Lora Aroyo!
Monday, February 3, 14
54. Personal profiles
•
Most sites have members create and manage
personal profiles
•
Differences in types of information in profiles,
ways to control access (privacy)
•
•
•
Archived memories
Impress others
Aggregators, e.g. klout.com
Compare Twitter profile with Facebook profile
Monday, February 4, 13
56
55. Establishing online
connections
•
discover connection (‘‘friend’’)
candidates from existing members
•
automatic discovery of members from
address books, browsing of groups,
friend-recommendation, or keywordbased search
•
some friend relationships require
consent by both members, some don’t
How do you find friends on different networks?
What are pros & cons of (a)symmetry of friendship?
Monday, February 4, 13
57
56. Participating in
online groups
•
•
form new groups, and/or join them
•
•
sense of belonging
members & non-members could both
view all the user-created content, only
members may post content
being where many other people are
How does LinkedIn facilitate the forming &
joining of groups?
Monday, February 4, 13
58
57. Communicating with
online connections
•
Ambient intimacy - “...that you
wouldn’t usually have access to,
because time & space”
•
•
Emotional support
Hanging out virtually
How do Twitter, Facebook and Flickr differer in terms
facilitating communication?
Monday, February 4, 13
59
58. Sharing User-created
Content
•
members post various types of user-created content, e.g.
blogs, microblogs, photos, images, music, video,
bookmarks, and text
•
•
friends view & re-share
social media sites provide richer facilities for sharing
content than social networking sites
How often do you experience problems of duplication of
content shared across different sites?
Monday, February 4, 13
60
59. Expressing Opinions
• Allowing members to leave comments on the
content, voting by ranking (3 out of 5 stars), or
marking as ‘‘favorite,’’ flagging as spam/
inappropriate
• Sites use different ways to present and organize
those comments (hierarchical, timestamping,
counting, etc.)
For example, Digg has two buttons, ‘‘digg it’’ and ‘‘bury’’
Why there is no ‘DISLIKE’ button in FB? Should there be?
Social Web 2014, Lora Aroyo!
Monday, February 3, 14
61. Reflections ...
•
•
•
Twitter profile vs. Facebook profile?
•
•
Pros & cons of (a)symmetry of friendship?
•
How often do you experience problems of duplication
of content shared across different sites?
•
FB vs Google+ actions for retaining users?
Find friends on different networks?
How does LinkedIn facilitate the forming & joining of
groups? FB? Google+?
Twitter vs. Facebook vs. Flickr differences in terms
facilitating communication?
Social Web 2014, Lora Aroyo!
Monday, February 3, 14
62. Where do YOU come in
understand the practices, implications, culture & meaning of the sites,
as well as users' engagement with them
learn how to use this knowledge in designing successful social web
applications
Social Web 2014, Lora Aroyo!
Monday, February 3, 14
63. The New Web: The
Web of People
Peter Brusilovsky, Social Web Course, University of Pittsburgh
Social Web 2014, Lora Aroyo!
Monday, February 3, 14
64. Hands-on Teaser
•
•
•
•
•
•
first (basic) taste of social web data analysis & visualization
some Python & command line experience
Twitter data
check out on the website the software you will be working with
semanticweb.cs.vu.nl/socialweb2013
check out the exercises in the book
•
Mining the Social Web, by Matthew A. Russell
Social image source: http://www.flickr.com/photos/bionicteaching/1375254387/
Web 2014, Lora Aroyo!
Monday, February 3, 14