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Political matchmaking online: changing the electorate? - Diego Garzia (University of Lucerne)

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Political matchmaking online: changing the electorate? - Diego Garzia (University of Lucerne)

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This was presented by Diego Garzia from the University of Lucerne at the Impacts of Civic Technology Conference (TICTeC 2017) in Florence on 25th April. You can find out more information about the conference here: http://tictec.mysociety.org

This was presented by Diego Garzia from the University of Lucerne at the Impacts of Civic Technology Conference (TICTeC 2017) in Florence on 25th April. You can find out more information about the conference here: http://tictec.mysociety.org

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Political matchmaking online: changing the electorate? - Diego Garzia (University of Lucerne)

  1. 1. Political Matchmaking Online Changing the Electorate? Diego Garzia University of Lucerne & European University Institute
  2. 2. Voting Advice Applications (VAAs) VAAs are non-partisan online tools developed by NGOs, Universities and/or Media Outlets VAAs help users casting a vote by comparing their policy preferences with those of political parties
  3. 3. The VAA compares the user’s profile with that of each party, and through a matching algorithm provides a voting advice to users
  4. 4. History in a nutshell 1989 Dutch StemWijzer (paper and pencil) 1998 First online version: 6.500 users 2002 Success > 2 millions 2003 German version (Wahl-O-Mat)
  5. 5. Results from the 2016 VAA Census Source: Voting Advice Applications Research Network http://www.vaa-research.net
  6. 6. Diffusion: Users
  7. 7. Diffusion: Users Source: Respective National Election Studies 0 5 10 15 20 25 30 35 40 45 50 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012 2013 2014 2015 Belgium Denmark Finland Germany Greece Netherlands Portugal Switzerland
  8. 8. VAAs as a source of political information Source: Finnish National Election Study, 2015 59 45 44 29 24 23 19 19 18 14 9 7 5 0 10 20 30 40 50 60 70 TV news Newspaper articles TV debates and interviews Web news VAAs Newspaper ads TV entertainment TV ads Radio Socialmedia (Facebook, Twitter) Parties' websites YouTube Blogs
  9. 9. The Making of a VAA Statement selection Inclusion criteria for parties/candidates Coding of party/candidate issue positions Calculation and display of the results
  10. 10. Impact on users Information costs Political interest Political knowledge Political participation (mirror function)
  11. 11. Impact on users Information costs Political interest Political knowledge Political participation (mirror function)
  12. 12. Impact on users: Turnout increase in predicted probabilities, individual level 9,3 9 3,2 12 12 1,8 2,1 4,9 10 5,5 5,4 16 FI2003 FI2007 FI2011 CH2007 CH2011 NL2003 NL2006 NL2010 NL2012 DE2009 DE2013 EU2009 Source: Garzia, Trechsel & De Angelis (2017). Voting Advice Applications and Electoral Participation: A Multi-Method Study. Political Communication, online first.
  13. 13. Impact on users: Turnout impact on overall turnout rate in % points, aggregate level 2,9 4 1,6 1,2 1,6 0,8 1 2,8 6,3 0,7 1,2 1,1 FI2003 FI2007 FI2011 CH2007 CH2011 NL2003 NL2006 NL2010 NL2012 DE2009 DE2013 EU2009 Source: Garzia, Trechsel & De Angelis (2017). Voting Advice Applications and Electoral Participation: A Multi-Method Study. Political Communication, online first.
  14. 14. Impact on users: Vote Choice self-assessment Source: Respective National Election Studies 0 5 10 15 20 25 FI2003 FI2007 FI2011 FI2015 NL2002 NL2003 NL2010 NL2012 Some FX Strong/Decisive FX
  15. 15. Open Questions Participation Is tailor-made, verifiable factual information the key to re-engage voters in times of alternative facts? Choice Can issue-based tools like VAAs lead to the de- personalization of politics in the long run?
  16. 16. Current developments VAAs for low-information, low-saliency races: ⇒ SOCIETLY.COM Horizontal matching ⇒ EUANDI.EU
  17. 17. -US 2016 Primary & Presidential Elections -Over 500.000 unique users -Media partnerships: WaPo, Fox News, Huff Post - All battleground races: 18 Senate + 32 House -188 candidates and 3760 positions coded - Large coding team of political scientists -Currently working on automated coding
  18. 18. What is euandi? EU28 24 languages 121 experts in the country teams 242 political parties 30 statements (28+2) 7260 coded and documented party positions IN COLLABORATION WITH THE PARTIES
  19. 19. Thank you! For more information… www.vaa-research.net www.Societly.com www.euandi.eu www.diegogarzia.it

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