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






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

  • time for eventstelling the world’s stories from social media Mor Naaman Rutgers SC&I & Mahaya, Inc. @informor
  • printing press
  • è knowledge archive
  • social media
  • èexperience archive
  • socialmediainformationlab
  • our work quantitativequalitative systems motivations, large scale quant, tools, services, practices data mining and prototypes
  • our workqualitative motivations, practices
  • (CHI 2007)Why we tag?
  • our work quantitativemotivations, large scale quant,practices data mining
  • (CSCW 2010) Twitter study•  What type of content do people post on Twitter?•  350 users, 3500 of their “tweets”•  Developed content categories, coded messages
  • (CSCW 2010) users clustered•  (Mainly) sharing information (20%) Informers•  (Mainly) talking about themselves (80%) Meformers
  • (CHI 2010) Breaking ties on Twitter
  • our work systemslarge scale quant, tools, services,data mining and prototypes
  • people, together
  • outside lands festival
  • organize the world’s memories
  • detectidentifyorganize objectives
  • objectivesdetect ICWSM 2011a JASIST 2011 WebDB 2009 SIGIR 2007
  • objectivesidentify WSDM 2012 ICWSM 2011b WSDM 2010
  • objectives organize ICMR 2012 CHI 2012CSCW 2012 MTAP 2012 VAST 2010WWW 2009
  • today organize identifydetect Vox! SRSR Multiplayer
  • overview Vox Civitas SRSR Multiplayer
  • 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]
  • designing for journalismdivergent points of viewnewsworthiness: surprising, unusual,extremes of positive / negative
  • supporting analysisdirect attention to relevant informationautomatic content analysis for filtering – relevance – uniqueness / novelty – sentiment – keyword extraction
  • 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)
  • Vox evaluation goals•  How effective for generating story ideas?•  What kind of insights/analysis are supported?•  Shortcomings and how features are used?
  • Vox evaluation: framing•  “develop two story pitches for the event”•  open-ended questionnaires, content analysis•  18 participants
  • takeawayscan extract reliable event structure fromsocial media
  • overview Vox Civitas (VAST 2010) SRSR Multiplayer
  • 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]
  • supporting analysiseyewitness detectionnetwork embeddednessuser “type” classifierlocation embeddedness…
  • evaluation“technological inquiry” with working journalistsnot: “how our tools worked”yes: “how fits into journalistic needs, practices”
  • what the hell?[with: Lyndon Kennedy, Dan Ellis, Kai Su]
  • supporting analysisextract the signal from people’sattention:find overlapping momentscompute and rank scenesextract scene descriptors
  • audio fingerprinting Wang et al. (ISMIR ’03)
  • two clips, aligned 0:18 3:320:000:00 2:32
  • a story of n clips time
  • from clips to scenesHigher GroundEncore time Happy Birthday, Birthday
  • evaluationquantitative: evaluated matching, sceneextraction…qualitative: evaluated deploymentscenario/task
  • takeawayscan create an event presentation thatgets better them more content is added
  • overview E Multi-site content Vox Civitas Multiplayer (NM&S 2012, ICMR 2012, MTAP 2012, WWW 2009)
  • towards better models oflarge-scale human attention
  • experienceHer story allows us to see what was lost, [and]gained, in the political, economic and socialtransformations of the 18th and 19th centuries.
  • a new archive
  • future work EXPLORE Researcher SOCRATES COLLECT Hypotheses and research questions YouTub kr Wor ss Tw r ata ANALYZE a CityBeat
  • EXPLORESOCRATES Researcher COLLECT Hypotheses and research questions YouTub krWor ss Tw r ata ANALYZE a
  • CityBeatEverywhere where there is an interaction between aplace, a time, and an expenditure of energy, there isrhythm. - Henri Lefebvre
  • questions? mor@rutgers.edu @informorhttp://mornaaman.com