PlumX Metrics
Embed PlumX Metrics

Measuring Affective Polarisation in Multiparty Systems

SSRN Electronic Journal
2024
  • 0
    Citations
  • 445
    Usage
  • 3
    Captures
  • 0
    Mentions
  • 0
    Social Media
Metric Options:   Counts1 Year3 Year

Metrics Details

  • Usage
    445
    • Abstract Views
      331
    • Downloads
      114
  • Captures
    3
  • Ratings
    • Download Rank
      473,811

Article Description

Measuring affective polarisation in multiparty systems leads to some controversies. In contrast to the American system, some authors argue that parties are not the real identity groups in Europe; instead, affective attitudes are better explained by the logic of ideological blocs. The most widespread formula so far for measuring affective polarisation in multiparty systems, proposed by Wagner (2021), underestimates interparty polarisation, and, although it is based on the inter-bloc polarisation approach, knowing whether that is actually being measured is mathematically hard. We propose a new measurement formula (DIPA) that, generating results generally similar to Wagner, allows us to solve two crucial problems: differentiating negative partisanship from affective polarisation; and capturing partisan hooliganism, a basic assumption of polarisation and a reflection of the minimum group paradigm. Moreover, this is possible while maintaining the ability to measure inter-bloc polarisation, which we recognise is relevant in multiparty systems, despite being strongly dependent on circumstantial elements.

Bibliographic Details

Ismael Crespo Martínez; Alberto Mora Rodríguez; José Miguel Rojo Martínez

Elsevier BV

affective polarisation; multiparty systems; partisanship; identity

Provide Feedback

Have ideas for a new metric? Would you like to see something else here?Let us know