Beyond Sentiment: Social Psychological Analysis of Political Facebook Comments in Hungary

• Márton Miháltz ^[1] ; Tamás Váradi ^[1] ; István Csertő ^[3] ; Éva Fülöp ^[3] ; Tibor Pólya ^[3] ; Pál Kővágó ^[2]
  1. [1] Hungarian Academy of Sciences

     Hungarian Academy of Sciences

     Hungría

     
  2. [2] University of Pecs

     University of Pecs

     Hungría

     
  3. [3] Institute of Cognitive Neuroscience And Psychology, Hungarian Academy of Sciences

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• Localización: 6th Workshop on Computational Approaches to Subjectivity, Sentiment and Social Media Analysis WASSA 2015: Workshop Proceedings : 17 September 2015 Lisboa, Portugal / Alexandra Balahur Dobrescu (ed. lit.), Erik van der Goot (ed. lit.), Piek Vossen (ed. lit.), Andrés Montoyo Guijarro (ed. lit.), 2015, ISBN 978-1-941643-32-7, págs. 127-133
• Idioma: inglés
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• Resumen

  • This paper presents the methodology and results of a project for the large-scale analysis of public messages in political discourse on Facebook, the dominant social media site in Hungary. We propose several novel social psychology- motivated dimensions for natural language processing-based text analysis that go beyond the standard sentiment-based analysis approaches. Communion describes the moral and emotional aspects of an individual’s relations to others, while agency describes individuals in terms of the efficiency of their goal- orientated behavior. We treat these by custom lexicons that identify positive and negative cues in text. We measure the level of optimism in messages by examining the ratio of events talked about in the past, present and future by looking at verb tenses and temporal expressions. For assessing the level of individualism, we build on research that correlates it to pronoun dropping. We also present re- sults that demonstrate the viability of our measures on 1.9 million downloaded public Facebook comments by examining correlation to party preferences in public opinion poll data.