Social Media - Information Sciences Institute · Social Media A Responsible User’s Guide Kristina...
Transcript of Social Media - Information Sciences Institute · Social Media A Responsible User’s Guide Kristina...
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A brief history of the Web
1960’s
Internet
connectingcomputers
1990’s
World Wide Web
connectingdocuments
2004‐present
Web 2.0,The Social Web
connectingpeople
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Outline
• Types of social media sites• Flickr
• Foursquare
• Risks of social media use• Intellectual property
• Privacy
• Benefits of social media use• Latest research developments
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Managing privacy on Flickr
You manage privacy on Flickr by adding people to your social networksocial network.
You set the trust leveltrust level when you add a new person to your social network
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Trust and privacy on FlickrYour trust level determine who can see your photos
Set privacy level of each photo
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Social network as a graph paradigm
family
family
friend
friend
contact
contact
Flickr social network is a directeddirected graph: you do not need the other person’s permission to add them to your social network
contact
can see my public photos
can see photos marked ‘for friends’
can see photos marked ‘for family’
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Social networks on Facebook
You need the other person’s permission to add them as friend
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Tell the world what you are doing in 140 characters or less.
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Twitter social network
follower
follower
follower
follower
friend
Twitter social network is a directeddirected graph: you watch your friends, your followers watch you.
friend
I added these people
these people added me
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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
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Creative Commons (CC)
Creative Commons: content you can useOriginal 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
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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 undoundo button for information
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Image from http://chronicle.com/blogs/brainstorm/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. 2011. Code/Space. MIT Press
Courtesy of Matt Zook
Tag this
person
Surveillance vs Sousveillance
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Social media as an event detector
Sakaki et al.,(2010) “Earthquake shakes Twitter users”, in World Wide Web Conference
Earthquake right now!
Earthquake!
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Social media as the encyclopedia of the world
D. Crandall, et al. (2009) “Mapping the World's Photos”, in World Wide Web Conference.
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Social media as a knowledge base
Plangprasopchok, et al. (2010) “Growing a tree …”, in KDD Proceedings.
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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)
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Thank you!
Questions?
http://www.isi.edu/~lerman