Social Media. A Responsible User s Guide. Kristina Lerman USC Information Sciences Institute

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1 Social Media A Responsible User s Guide Kristina Lerman USC Information Sciences Institute

2 A bit about me

3 A brief history of the Web Internet World Wide Web Web 2.0, The Social Web connecting computers 1960 s connecting documents 1990 s connecting people 2004 present

4 Connecting and sharing

5 Outline Types of social media sites Flickr Facebook Twitter Foursquare Risks of social media use Intellectual property Privacy Benefits of social media use Latest research developments

6 Types of social media

7 Flickr

9 Managing privacy on Flickr You manage privacy on Flickr by adding people to your social network. You set the trust level trust level when you add a new person to your social network

10 Trust and privacy on Flickr Your trust level determine who can see your photos Set privacy level of each photo

11 Social network as a graph paradigm Flickr social network is a directed graph: you do not need the other person s permission to add them to your social network family contact can see my public photos can see photos marked for family contact family friend friend can see photos marked for friends

12 Facebook

13 Social networks on Facebook You need the other person s permission to add them as friend

14 Managing privacy on Facebook

15 App privacy

16 Twitter Tell the world what you are doing in 140 characters or less.

17 Twitter social network Twitter social network is a directed graph: you watch your friends, your followers watch you. friend I added these people follower friend these people added me follower follower follower

18 Foursquare

19 Risks

20 Intellectual Property You own the copyright to the works you put online Copyright owners have the exclusive right to Make copies of the work Produce derivative works Distribute copies, etc. Copyrighted works : all rights reserved But, it is difficult to enforce copyright infringements You should publish online under Creative Commons license Fair use exceptions apply Allows use of material that contributes to creation of new works that do not deprive holder of income

21 Response to stolen images on Flickr

22 Creative Commons (CC) Creative Commons: content you can use Original CC licenses Attribution: Licensees may copy, distribute, display and perform the work only if they give owner the credits Noncommercial: Licensees may copy, distribute, etc. the work only for noncommercial purpose No Derivative Works: Licensees may copy, distribute, etc. the work, not derivatives based on it. ShareAlike: Licensees may distribute derivative works only under a license identical to the license that governs the original work. Some content online is CC

23 Privacy We leak information Location through camera phones, Twitter, etc. Through friends Who reveal information about themselves, like age, political affiliation,, which could be used to find out about you Who reveal information about you Through apps which clandestinely collect information The Web never forgets No undo button for information

24 Surveillance vs Sousveillance Tag this person Image from professorial-drunkenness-dos-and-donts/29528 Pervasive surveillance and sousveillance has the potential to produce a society that never forgets - that has a permanent socio-spatial archive of trillions of events across a whole population, traceable through space and time; a detailed spatialisation of the history of everything, everywhere. Paradoxically everyware could well complicate life and introduce new technological hazards at the same time it seeks to make life simple and reduce risk Rob Kitchin & Martin Dodge Code/Space. MIT Press Courtesy of Matt Zook

26 Leaking location information

27 Benefits

28 Social media as an agent for social change Los Angeles Times

29 Social media as an event detector Earthquake right now! Earthquake! Sakaki et al.,(2010) Earthquake shakes Twitter users, in World Wide Web Conference

30 Social media as the encyclopedia of the world D. Crandall, et al. (2009) Mapping the World's Photos, in World Wide Web Conference.

31 Social media as a knowledge base Plangprasopchok, et al. (2010) Growing a tree, in KDD Proceedings.

32 Social media as an oracle The predictive power of online chatter by D. Gruhl, R. Guha, Ravi Kumar, Jasmine Novak, Andrew Tomkins. In Proceedings of SIGKDD (2005) Using a model of social dynamics to predict popularity of news by K. Lerman & T. Hogg in Proceedings of WWW (2010) Twitter mood predicts the stock market by J. Bollen, H. Mao & X. Zeng (2010) Predicting the Future with Social Media by S. Asur & Bernardo A. Huberman (2010)

33 Thank you! Questions?

Sentiment analysis on tweets in a financial domain

Sentiment analysis on tweets in a financial domain Jasmina Smailović 1,2, Miha Grčar 1, Martin Žnidaršič 1 1 Dept of Knowledge Technologies, Jožef Stefan Institute, Ljubljana, Slovenia 2 Jožef Stefan International