Personalization of Politics between Television, Internet (and the - - PowerPoint PPT Presentation

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Personalization of Politics between Television, Internet (and the - - PowerPoint PPT Presentation

Jul 23, 2023 38 likes •399 views

Personalization of Politics between Television, Internet (and the EUI) Diego Garzia University of Lucerne & European University Institute The Jean Monnet Fellowship Programme@25 Alumni Conference San Domenico di Fiesole, 22-23 June 2017

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Personalization of Politics between Television, Internet (and the EUI)

Diego Garzia

University of Lucerne & European University Institute The Jean Monnet Fellowship Programme@25 Alumni Conference San Domenico di Fiesole, 22-23 June 2017

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Picture Pagliaiuola

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Key Figure from Thesis

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Leaders more important to more educated

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What will de-personalize politics, if anything?

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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

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The VAA compares the user’s profile with that of each party, and through a matching algorithm provides a voting advice to users

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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)

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Results from the 2016 VAA Census

Source: Voting Advice Applications Research Network

http://www.vaa-research.net

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Diffusion: Users

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Diffusion: Users

Source: Respective National Election Studies

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

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Impact on users

Information costs Political interest Political knowledge Political participation (mirror function)

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Voting Advice Applications and Electoral Participation

Civic Voluntarism Model

  • Information and knowledge as pre-conditions for electoral participation

Low-Information Rationality

  • “Reasoning voters” are expected to minimize information costs
  • Individuals’ probability to cast a vote is inversely proportional to

the effort involved in getting informed

Voting Advice Applications Research

  • VAAs provide cheap information and increase interest in and knowledge
  • f political matters
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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

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The Italian experiment of 2013

Garzia, Trechsel & De Angelis, 2017 in Political Communication

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The Experimental Protocol

Field experiment (N~1000)

Experimental VAA-platform

  • Invited accessibility design
  • ITANES pre/post election survey

Response rate: 95%

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What next?

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What is euandi?

Follow-up to EU Profiler 2009 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

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Pic euandi

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The Party Dataset (2009-2014)

Garzia, Trechsel & De Sio, 2017 in Party Politics

~200 parties coded on the same 18 concrete issue statements

Iterative method: Party self-placement (55% cooperation rate) + Expert Judgement Beyond the manifesto: Hierarchy of data sources Inclusion of political parties in the process reduces bias in the case of small/new parties (they know better!) VAAs are always developed in proximity to elections

  • Reduces the bias inherent to the timing of the study within electoral cycle
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The Transnationalization

  • f Europe’s Voting Space

Bright, Garzia, Lacey & Trechsel, 2016 in European Union Politics

84% of users are potential party migrants 18% declare that the VAA made them “want to vote for a party in another country”

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And then what?

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PIC Schifanoia

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Thank you!