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US Election Monitor 2008

PolitCamp Graz
30. Mai 2008

Hermann Stern                    Walter Rafelsberger
Graz University of Technology    MODUL University Vienna
Knowledge Management Institute   Department of New Media Technology

hermann.stern@tugraz.at          walter.rafelsberger@modul.ac.at
Introduction


• US Election Monitor 2008
   • Analyzing Trends in Political Coverage of Online Media
   • http://www.ecoresearch.net/election2008

• Use Case of the IDIOM Project
   • I f
     Information Diff i across Interactive O li Media
              i Diffusion      I       i Online M di
   • http://www.idiom.at

• Part of the ECOresearch Network
   • http://www.ecoresearch.net
Behind the Scenes (1/2)
                  ( )


• Weekly Snapshots of global Web coverage

• List of Web sites in different Samples
•   US
•   Canada
•   UK
•   Australia and New Zealand
•   NGOs
•   Fortune1000
•   1000 popular blogs on political issues
Behind the Scenes (2/2)
                  ( )


• More than 800 000 documents a week
            800,000
• Monday: data collection
• Wednesday: publication of new results

• Text Pre-Processing

• Word Frequencies           => Attention
• Semantic Orientation       => Sentiment
• Keyword Analysis           => Keywords
Interactive Charts
Candidate Details
User Polls


• Only one vote a day allowed (IP check)
Traffic Statistics
Attention V.S. Sentiment
Obama Public Opinion V.S. Sentiment
              p
Obama Attention V.S. Sentiment
Future Work


• Candidate quotes
• User votes on geographic map




• Phase II: post primaries
Social Media Applications
              pp


• „Games with a Purpose“
   Games        Purpose
   • Vote for a Candidate
   • Sentiment Quiz

• Goals
   • Gather data for Social Network Analysis
   • Analyze Viral Dissemination Effects
   • Sentiment Detection and Evaluation
       via Crowdsourcing
   •   Investigate Hostile Media Effect
Social Media Applications
              pp


• Why Facebook et al?

   • Building a new community / user base is not our task

   • Social Platforms with APIs
      • Environment the user is familiar with
      • Still a rich user experience
      • Viral effects help spreading the application in a
          user`s network with limited marketing resources
      •   Large user base
Facebook Voting Application
              g pp

•   Users vote weekly for their
                     y
    prefered candidate and give
    their opinion whether he / she
    will win.

•   Privacy controls

•   V l notifications and
    Viral    f          d
    reminders spread across a
    user`s network.

•   Results page offers statistics
    from a user`s network.

•   Opt-In to let us access the
    gathered data for further
    analysis.
        y
Facebook Sentiment Quiz

„Game with a purpose“
             p p

•   Players have to decide
    whether a sentence has a
    positive or negative meaning.
•   The choices of a player get
    matched with those from
    other players
          players.
•   Players get points for
    matches and may reach
    higher levels, making the
    game more difficult with
    longer sentences and lower
    sentiment.
•   Uses proven game mechanics
    to motivate players.
SOC Framework as Backend




                                          Data


•   PHP based framework
•   Generic wrapper for Social
    Platforms to act on a shared      SOC Framework
    data space
•   Allows logging of user activity
    in a social network

                                                      Others
Future Work


• Launch Facebook Applications
   • currently Private Beta

• Port Applications to other platforms

• Possible future scenario:
  Crowdsourcing Platform
                  g
  for Scientific Applications
Election Monitor 2008 Polit Camp

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Election Monitor 2008 Polit Camp

  • 1. US Election Monitor 2008 PolitCamp Graz 30. Mai 2008 Hermann Stern Walter Rafelsberger Graz University of Technology MODUL University Vienna Knowledge Management Institute Department of New Media Technology hermann.stern@tugraz.at walter.rafelsberger@modul.ac.at
  • 2. Introduction • US Election Monitor 2008 • Analyzing Trends in Political Coverage of Online Media • http://www.ecoresearch.net/election2008 • Use Case of the IDIOM Project • I f Information Diff i across Interactive O li Media i Diffusion I i Online M di • http://www.idiom.at • Part of the ECOresearch Network • http://www.ecoresearch.net
  • 3. Behind the Scenes (1/2) ( ) • Weekly Snapshots of global Web coverage • List of Web sites in different Samples • US • Canada • UK • Australia and New Zealand • NGOs • Fortune1000 • 1000 popular blogs on political issues
  • 4. Behind the Scenes (2/2) ( ) • More than 800 000 documents a week 800,000 • Monday: data collection • Wednesday: publication of new results • Text Pre-Processing • Word Frequencies => Attention • Semantic Orientation => Sentiment • Keyword Analysis => Keywords
  • 7. User Polls • Only one vote a day allowed (IP check)
  • 10. Obama Public Opinion V.S. Sentiment p
  • 12. Future Work • Candidate quotes • User votes on geographic map • Phase II: post primaries
  • 13. Social Media Applications pp • „Games with a Purpose“ Games Purpose • Vote for a Candidate • Sentiment Quiz • Goals • Gather data for Social Network Analysis • Analyze Viral Dissemination Effects • Sentiment Detection and Evaluation via Crowdsourcing • Investigate Hostile Media Effect
  • 14. Social Media Applications pp • Why Facebook et al? • Building a new community / user base is not our task • Social Platforms with APIs • Environment the user is familiar with • Still a rich user experience • Viral effects help spreading the application in a user`s network with limited marketing resources • Large user base
  • 15. Facebook Voting Application g pp • Users vote weekly for their y prefered candidate and give their opinion whether he / she will win. • Privacy controls • V l notifications and Viral f d reminders spread across a user`s network. • Results page offers statistics from a user`s network. • Opt-In to let us access the gathered data for further analysis. y
  • 16. Facebook Sentiment Quiz „Game with a purpose“ p p • Players have to decide whether a sentence has a positive or negative meaning. • The choices of a player get matched with those from other players players. • Players get points for matches and may reach higher levels, making the game more difficult with longer sentences and lower sentiment. • Uses proven game mechanics to motivate players.
  • 17. SOC Framework as Backend Data • PHP based framework • Generic wrapper for Social Platforms to act on a shared SOC Framework data space • Allows logging of user activity in a social network Others
  • 18. Future Work • Launch Facebook Applications • currently Private Beta • Port Applications to other platforms • Possible future scenario: Crowdsourcing Platform g for Scientific Applications