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A Mixed Approach for Aggressive Political Discourse Analysis on Twitter.

Javier Torregrosa1, Sergio D'Antonio-Maceiras1, Guillermo Villar-Rodríguez1

  • 1Departamento de Sistemas Informáticos, Universidad Politécnica de Madrid, Madrid, Spain.

Cognitive Computation
|August 23, 2022
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Summary
This summary is machine-generated.

Political discourse during Madrid's 2021 elections was less aggressive than perceived. Analysis revealed extreme parties used more aggressive language, and Twitter functioned more as a sentiment gauge than a policy platform.

Keywords:
Aggressive discourseContent analysisMixed methodsNatural language processingSentiment analysisTwitter

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Area of Science:

  • Political Science
  • Computational Linguistics
  • Sociology

Background:

  • Rising political tensions and social movements in Europe since 2000.
  • Previous research indicates increased political and economic crises correlate with heightened societal tensions.
  • The 2021 Madrid elections occurred amidst a backdrop of evolving European political landscapes.

Purpose of the Study:

  • To analyze the political discourse and underlying tensions during the 2021 Madrid elections.
  • To determine if an aggressive tone was prevalent in the electoral campaign.
  • To investigate the relationship between discourse tone, dissemination, and political ideology.

Main Methods:

  • A mixed-methods approach combining quantitative and qualitative techniques.
  • Natural Language Processing (NLP) for quantitative analysis of large datasets.
  • Content analysis for qualitative insights into specific trends and discourse characteristics.

Main Results:

  • The electoral campaign's discourse was not as negative as commonly perceived by citizens.
  • No significant relationship was found between the tone of political discourse and its dissemination.
  • Ideologically extreme parties exhibited more aggressive language compared to moderate parties.

Conclusions:

  • Twitter served primarily as a sentiment thermometer rather than a platform for substantive political communication.
  • Public perception of campaign negativity may not align with quantitative discourse analysis.
  • Understanding discourse strategies of different political ideologies is crucial for analyzing electoral campaigns.