Altruism, Alt i Selfishness, S lfi h and d Contribution on the Social Web John Riedl GroupLens Research U i University it off Mi Minnesota t UNIVERSITY OF MINNESOTA Bowling g Alone (Amazon reviews) i ) UNIVERSITY OF MINNESOTA UNIVERSITY OF MINNESOTA Messages g Web 2.0 is The Social Web People Connecting to People Technology Enabling Community 4 Carlson School March 2009 Alexa Rankings g UNIVERSITY OF MINNESOTA 1. Google Search UNIVERSITY OF MINNESOTA 7 Carlson School March 2009 Google g PageRank g g is the value of the p g Value of a p page pages that link to it Recursive! Fight for Attention: The Shoe Store The Rich get Richer 8 Carlson School March 2009 Web Structure 9 Carlson School March 2009 ((Web Search))shared Maurice Coyle and Barry Smyth AH’08 UNIVERSITY OF MINNESOTA The Long g Tail The Long Tail In Blogspace g p 11 Carlson School March 2009 Want to be a Millionaire? g Netflix $1M Challenge 12 Carlson School March 2009 13 Carlson School March 2009 Google g Street View in UK • My B&B in London o http://maps.google.co.uk/maps?f=q&source=s_q&hl=en&g h // l k/ ?f & &hl & eocode=&q=high+street+kensington&sll=51.490643,0.158637&sspn=0.010515,0.016243&ie=UTF8&ll=51.505203,0.193301&spn 0,359.991878&z 17&layer c&cbll 51.505309, 0.193301&spn=0,359.991878&z=17&layer=c&cbll=51.505309, -0.192387&panoid=8ACFOoEYapAmvgcuRoz_Q&cbp=12,79.63692756901483,,0,8.672391017173075 • Link to BBC Video o 0:00 – 2:00 • Privacy Risks o o Photos of people leaving sex shops Photos of naked toddler playing in park 14 Carlson School March 2009 Opportunity pp y y How can we mine ffree activity? What are the risks in these data? 15 Carlson School March 2009 2. Yahoo! Everything UNIVERSITY OF MINNESOTA Flickr Popular Tags 17 Carlson School March 2009 Picture of a Baby y from Flickr 18 Carlson School March 2009 Flickr Popular Tags 19 Carlson School March 2009 Tag Selection Algorithms “The Quest for Quality Tags” S. Sen, F. Harper, A. LaPitz, J. Riedl GROUP 2007 20 Carlson School March 2009 Catcher in the Rye Huge number of tags RQ: How can a tagging system show users tags they want to see? 21 Carlson School March 2009 Users don’t agree Most controversial tags (Bayesian expected entropy): tag entropy # # comedy 0.987 28 30 classic 0.986 25 24 stylized 0.983 20 21 nudity (full frontal) 0.980 18 20 romance 0 980 0.980 18 17 quirky 0.977 25 20 magic 0.974 18 15 animation 0.974 26 20 Steven Spielberg 0.973 12 12 sci-fi i fi 0 972 0.972 14 17 22 Carlson School March 2009 R d Random baseline: b li 21% Tag g Prediction Implicit features: number of applications (39%) number of users (51%) number of searches for a tag (44%) number of users who searched for a tag (48%) length of tag (42%) Moderation-based features: global average rating for a tag (59%) user-normalized global average rating for a tag (62%) tag reputation (57%) Hybrid combinations: logistic regression, decision trees (67%) 23 Carlson School March 2009 RealAge g UNIVERSITY OF MINNESOTA Opportunities How can a system distinguish between “good” tags and “bad” tags? C folksonomy Can f lk b encouraged? be d? o o Showing users more tags leads to more vocabulary b l reuse How much convergence is valuable? 25 Carlson School March 2009 3. Facebook Social Networking for College Students … and everyone else UNIVERSITY OF MINNESOTA 27 Carlson School March 2009 28 Carlson School March 2009 29 Carlson School March 2009 30 Carlson School March 2009 The Predictive Power of Online Chatter • Gruhl, Guha, Kumar, Novak, Tomkins • Yahoo • ACM KDD 2005 • Volume of blog g postings predict sales rank of books • Queries can be automatically generated t d iin many cases. • Can sometimes predict spikes in sales rank. 31 Carlson School March 2009 Anti-aliasing on the Web Jasmine Novak, Prabhakar Raghavan, Andrew Tomkins. Tomkins WWW 2004 32 Carlson School March 2009 Story: Finding Medical Records (Sweeney 2002) Former Governer of Massachussetts! Medical Data Ethnicity Zip Visit Date Bi thd t Birthdate Di Diagnosis i Sex Procedure Medication Total Charge 33 Voter List Name Address Date registered Party y affiliation Date last voted Carlson School March 2009 Cat Torturer Video • YouTube Link • 1:10 – 2:15 34 Carlson School March 2009 35 Carlson School March 2009 36 Carlson School March 2009 Discussion p Social Implications Opportunities Threats 37 Carlson School March 2009 4. YouTube Video by Amateurs? C Copyright i h issues i • Music videos • CBS agreement UNIVERSITY OF MINNESOTA Whyy did Google g Buyy YouTube? , / 65 = $25 million / employee p y $1,650 $1,650 / 100 million views per day = $16 $16 / 365 = $.04½ / view / year … but b tG Google l already l d h had d videos! id ! The technology? The community! 39 Carlson School March 2009 Second Life Virtual World People “live”, buy, and sell there $60M (US $) worth of “manufactured manufactured goods” sold this year 40 Carlson School March 2009 Making a Guitar in Second Life 0:45 – 1:45 UNIVERSITY OF MINNESOTA World of Warcraft A different virtual world More focus on combat 6 million subscribers 42 Carlson School March 2009 Fayejin y j Funeral y of February y 28th Illidan lost On Tuesday not only a good mage, but a good person. For those who knew her,, p Fayejin was one of the nicest people you could ever meet. On Tuesday y y she suffered from a stroke and passed away g later that night. 5:30 March 4th, Frostfire Hot Springs 43 Carlson School March 2009 World of Warcraft Video UNIVERSITY OF MINNESOTA p azshira’s dad dies of a heart “I hope attack, then at the funeral some guy runs in naked and p pushes the coffin over and runs around slapping people screaming g LOL OWNED,, then releases a video of it” 45 Carlson School March 2009 Economist in EVE 46 Carlson School March 2009 47 Carlson School March 2009 MMOG Active Subscribers 48 Carlson School March 2009 49 Carlson School March 2009 50 Carlson School March 2009 51 Carlson School March 2009 52 Carlson School March 2009 Offshore to a Virtual World? • Nick Yee @ PARC • Some radiology offshored to India • Skill in a game: RADAR expert? o o Learn to detect patterns R Rewards d for f correctness t • Wisdom of Crowds to combine results 53 Carlson School March 2009 Jim Gray Mechanical Turk S Search h 54 Carlson School March 2009 Suicide streamed live on Justin.tv 55 Carlson School March 2009 Chocolate Rain b d by T Tay Z Zonday Adam Bahner Bahner, a Ph Ph.D. D student in American Studies at the University of Minnesota Number 2 hottest viral video in history o o Hottest viral video of Summer 2007 Over 26 million views 56 Carlson School March 2009 Videos Life Fast,, Die Young g 57 Carlson School March 2009 58 Carlson School March 2009 Huberman Dynamics of Viral M k tiThe Dynamics of Viral Marketing, Marketing ACM TWeb 2007, Leskovec et al., HP 59 Carlson School March 2009 Maximizing the Spread of Influence through a Social Network, David Kempe, Jon Kleinberg, Éva Tardos, KDD’03 Independent p Cascade Model o o Information diffuses over time Each neighbor who converts has a one one-time time chance to convert others Linear Threshold Model o o Each node considers the preferences of all neighbors If total weight passes threshold, a node converts 60 Carlson School March 2009 Video suggestion gg and discovery y for YouTube: Taking g random walks through the view graph Shumeet Baluja, et al., Google, WWW 2008 61 Carlson School March 2009 Opportunities pp g Crowd-sourcing Gaming as Work? How do preferences propagate naturally? Wh t predicts What di t ffads? d ? How do recommenders influence propagation? 62 Carlson School March 2009 5. MySpace Social Network UNIVERSITY OF MINNESOTA MySpace UNIVERSITY OF MINNESOTA Heather Ann Tucci y “I jjust want to let everyone know August 19 2006 Joe Renner and Joe Shafer died and me and Samatha were hurt. … Both of them knew what they were g getting g in to. Yes it’s my y fault because I was the driver but think about how many y of y you did what I did.” 65 Carlson School March 2009 Twitter y about VC lunch Story Hudson river pictures NYT Tweets during superbowl NBA Player who tweeted during halfti time off a game 66 Carlson School March 2009 67 Carlson School March 2009 So I once went on a movie date with a guy who thought it was sort of weird that I p posted to Twitter about the movie in mid-date. In retrospect, it probably was weird,, and a bit rude,, and I wouldn't do it again (and no, there was no second date). ) But get g a load of this one. 68 Carlson School March 2009 69 Carlson School March 2009 Discussion p Social Implications Opportunities Threats 70 Carlson School March 2009 6. Windows Live 7. MSN ISP and Content Provider UNIVERSITY OF MINNESOTA 8. Wikipedia Next slide, please! UNIVERSITY OF MINNESOTA Wikipedia p on Wikipedia p 73 Carlson School March 2009 Wikiality on MySpace 1:20 – 2:15: edit wikipedia to make truth “What if the number of elephants p in Africa were increasing?” UNIVERSITY OF MINNESOTA Reid Priedhorsky Jilin Chen Shyong (Tony) K. Lam Katherine Panciera Loren Terveen JJohn Riedl Creating, Destroying Creating Destroying, and Restoring Value in Wiki di Wikipedia Group p 2007 UNIVERSITY OF MINNESOTA 76 Carlson School March 2009 77 Carlson School March 2009 78 Carlson School March 2009 Who contributes Wikipedia’s value? 3.8 million least frequent editors User:Maveric149 0.5% of valueWales 14% of value Swartz 79 Carlson School March 2009 PWV contributions of elite editors 80 Carlson School March 2009 81 Carlson School March 2009 82 Carlson School March 2009 Challenges g How can vandalism be detected? How efficient is Wikipedia? How much conflict is valuable? 83 Carlson School March 2009 9. Ebay Online Auctions Customers Selling to Customers UNIVERSITY OF MINNESOTA •EBay 85 Carlson School March 2009 Amazon (# 13) Most Important Resource is Customers Customers Custo e s “Selling Se g to” to Customers Custo e s UNIVERSITY OF MINNESOTA Amazon R b t Robertson shilled 87 Carlson School March 2009 Google g Trends Front Page g 88 Carlson School March 2009 89 Carlson School March 2009 4Chan vs. eBaumsWorld 4Chan o o Google Trends Hack Chocolate Rain eBaumsWorld o o Many other hacks “copyright” fight with 4chan 90 Carlson School March 2009 UNIVERSITY OF MINNESOTA The Internet is Serious Business “A phrase used to remind those who voluntarily leave the house that being mocked on the Internet is, in fact, the end of the world.” - Encyclopedia Dramatica UNIVERSITY OF MINNESOTA The Social Cost of Cheap Pseudonyms Friedman and Resnick, Journal of Economics and Management Strategy, 2001 The Information Th I f i Cost C off ManipulationM i l i Resistance in Recommender Systems R Resnick i k and dS Sami.i ACM R RecSys S 08 08. 93 Carlson School March 2009 Increasing g Contributions UNIVERSITY OF MINNESOTA What Theory Tells Us… Collective Effort Model o People will contribute more if: They h believe b l their h effort ff is important to the h group They like the group Smaller is Better o o Slovic, Fischhoff, & Lichtenstein, 1980 People feel greater concern when the reference group they’re part of grows smaller. Specificity Matters o o Small S ll & L Loewenstein, t i 2003 Specific identity of those helped is important in drawing people’s support. 95 Carlson School March 2009 CommunityLab Research y Social science to increase contributions o o Accessible to designers Algorithms, interfaces, toolkits GroupLens @ Minnesota o o Recommender algorithms and interfaces John Riedl, Joe Konstan, Loren Terveen Bob Kraut and Sara Kiesler @ CMU o Social psychology of computer use P lR Paul Resnick i k and d Yan Y Ch Chen @ Michigan Mi hi 96 Carlson School March 2009 VOICE 2 Screen shot Numerical values are represented by smilies Who the contribution h l helps Value of each contribution 97 Carlson School March 2009 Results Behavioral data Self-report Self 3.87 Self 7.2% All MovieLens 10.2% All MovieLens 3.13 Similar Group 2.97 Similar Group 15.8% 1: Strongly Disagree 2: Disagree 3: Neutral 4: Agree 5: Strongly Agree Dissimilar Group 2.94 Dissimilar Group 5.9% Control 7.4% Control 2.68 1 2 3 4 0% 5 Want Smilies on the regular interface? 98 5% 10% 15% 20% Probability of rating a movie Carlson School March 2009 Opportunities pp How can contributors be motivated? How can social attacks be mitigated? o Mail list “unsubscribe” unsubscribe How does social psychology interact with defense algorithms? o Can the griefers be encouraged to give up? Can freedoms f d be b preserved? d 99 Carlson School March 2009 10. Craigslist.org Renting Apartments in NYC $10/posting: $2.5M/year $2 5M/year Could generate $500M/year with ads “users haven’t asked for banner ads” UNIVERSITY OF MINNESOTA http://www.cagle.com/news/DyingNewspap ers/main.asp UNIVERSITY OF MINNESOTA UNIVERSITY OF MINNESOTA UNIVERSITY OF MINNESOTA Reuters 2nd Life Bureau 104 Carlson School March 2009 Messages g Web 2.0 is The Social Web People Connecting to People Technology Enabling Community 105 Carlson School March 2009 Altruism, Alt i Selfishness, S lfi h and d Contribution on the Social Web John Riedl GroupLens Research U i University it off Mi Minnesota t UNIVERSITY OF MINNESOTA Discussion Topics p pp with virtual What will happen economies? Why did Google buy YouTube? Broadcast -> Narrowcast -> Virtual Life C Copyright i ht iin the th Digital Di it l A Age Governing Online Communities 107 Carlson School March 2009 108 Carlson School March 2009 The Social Cost of Cheap Pseudonyms The Value of Reputation on eBay: A Controlled Experiment UNIVERSITY OF MINNESOTA W b site Web it visualization i li ti •Web link structure in hyperbolic space •from Tamara T Munzner 110 Carlson School March 2009 Videos for this Presentation, for Kevin After (7) YouTube Making a Guitar in Second Life 0:45 – 1:45 Suzanne Vega Concert in Second Life 1:00 – 1:40 World of Warcraft Video 0:00 – 2:05 (entire ( video) d ) After (9) Wikipedia Wikiality on YouTube 1:20 – 2:15: edit wikipedia to make truth 111 Carlson School March 2009 Bit Bucket 112 Carlson School March 2009 113 Carlson School March 2009