In the mood for sharing contents: Emotions, personality and interaction styles in the diffusion of news

Fabio Celli*, Arindam Ghosh, Firoj Alam, Giuseppe Riccardi

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

52 Citations (Scopus)

Abstract

In this paper, we analyze the influence of Twitter users in sharing news articles that may affect the readers' mood. We collected data of more than 2000 Twitter users who shared news articles from Corriere.it, a daily newspaper that provides mood metadata annotated by readers on a voluntary basis. We automatically annotated personality types and communication styles of Twitter users and analyzed the correlations between personality, communication style, Twitter metadata (such as followig and folllowers) and the type of mood associated to the articles they shared. We also run a feature selection task, to find the best predictors of positive and negative mood sharing, and a classification task. We automatically predicted positive and negative mood sharers with 61.7% F1-measure.

Original languageEnglish
Pages (from-to)93-98
Number of pages6
JournalInformation Processing and Management
Volume52
Issue number1
DOIs
Publication statusPublished - Jan 2016
Externally publishedYes

Keywords

  • Communication
  • Contagion
  • Mood detection
  • Personality
  • Social media
  • Twitter

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