Time for Events -- Presentation to New Economic School / Center for the Study of New Media and Society / Moscow

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  • 1. time for eventstelling the world’s stories from social media Mor Naaman Rutgers SC&I & Mahaya, Inc. @informor
  • 2. printing press
  • 3. è knowledge archive
  • 4. social media
  • 5. èexperience archive
  • 6. socialmediainformationlab
  • 7. our work quantitativequalitative systems motivations, large scale quant, tools, services, practices data mining and prototypes
  • 8. our workqualitative motivations, practices
  • 9. (CHI 2007)Why we tag?
  • 10. our work quantitativemotivations, large scale quant,practices data mining
  • 11. (CSCW 2010) Twitter study•  What type of content do people post on Twitter?•  350 users, 3500 of their “tweets”•  Developed content categories, coded messages
  • 12. (CSCW 2010) users clustered•  (Mainly) sharing information (20%) Informers•  (Mainly) talking about themselves (80%) Meformers
  • 13. (CHI 2010) Breaking ties on Twitter
  • 14. our work systemslarge scale quant, tools, services,data mining and prototypes
  • 15. people, together
  • 16. BYOBW
  • 17. outside lands festival
  • 18. organize the world’s memories
  • 19. detectidentifyorganize objectives
  • 20. objectivesdetect ICWSM 2011a JASIST 2011 WebDB 2009 SIGIR 2007
  • 21. objectivesidentify WSDM 2012 ICWSM 2011b WSDM 2010
  • 22. objectives organize ICMR 2012 CHI 2012CSCW 2012 MTAP 2012 VAST 2010WWW 2009
  • 23. today organize identifydetect Vox! SRSR Multiplayer
  • 24. overview Vox Civitas SRSR Multiplayer
  • 25. research questionscan Twitter content around broadcastnews events inform journalistic inquiry?what insights and analyses can weenable through visual analytic tools?[with postdoctoral fellow Nick Diakopoulos]
  • 26. designing for journalismdivergent points of viewnewsworthiness: surprising, unusual,extremes of positive / negative
  • 27. supporting analysisdirect attention to relevant informationautomatic content analysis for filtering – relevance – uniqueness / novelty – sentiment – keyword extraction
  • 28. how to evaluate?directly evaluate the output of thealgorithms (quantitative)deep, extensive evaluation of users’interaction with the system (qualitative)   read more: Olsen (UIST ’07) Naaman (MTAP ’12)
  • 29. Vox evaluation goals•  How effective for generating story ideas?•  What kind of insights/analysis are supported?•  Shortcomings and how features are used?
  • 30. Vox evaluation: framing•  “develop two story pitches for the event”•  open-ended questionnaires, content analysis•  18 participants
  • 31. takeawayscan extract reliable event structure fromsocial media
  • 32. overview Vox Civitas (VAST 2010) SRSR Multiplayer
  • 33. research question how can we help a journalists identify reliable, knowledgeable sources for remote breaking news events?[with postdoctoral fellows Nick Diakopoulos, Mummun De Choudhury]
  • 34. supporting analysiseyewitness detectionnetwork embeddednessuser “type” classifierlocation embeddedness…
  • 35. evaluation“technological inquiry” with working journalistsnot: “how our tools worked”yes: “how fits into journalistic needs, practices”
  • 36. what the hell?[with: Lyndon Kennedy, Dan Ellis, Kai Su]
  • 37. supporting analysisextract the signal from people’sattention:find overlapping momentscompute and rank scenesextract scene descriptors
  • 38. audio fingerprinting Wang et al. (ISMIR ’03)
  • 39. two clips, aligned 0:18 3:320:000:00 2:32
  • 40. a story of n clips time
  • 41. from clips to scenesHigher GroundEncore time Happy Birthday, Birthday
  • 42. evaluationquantitative: evaluated matching, sceneextraction…qualitative: evaluated deploymentscenario/task
  • 43. takeawayscan create an event presentation thatgets better them more content is added
  • 44. overview E Multi-site content Vox Civitas Multiplayer (NM&S 2012, ICMR 2012, MTAP 2012, WWW 2009)
  • 45. towards better models oflarge-scale human attention
  • 46. experienceHer story allows us to see what was lost, [and]gained, in the political, economic and socialtransformations of the 18th and 19th centuries.
  • 47. a new archive
  • 48. future work EXPLORE Researcher SOCRATES COLLECT Hypotheses and research questions YouTub kr Wor ss Tw r ata ANALYZE a CityBeat
  • 49. EXPLORESOCRATES Researcher COLLECT Hypotheses and research questions YouTub krWor ss Tw r ata ANALYZE a
  • 50. CityBeatEverywhere where there is an interaction between aplace, a time, and an expenditure of energy, there isrhythm. - Henri Lefebvre
  • 51. questions? mor@rutgers.edu @informorhttp://mornaaman.com