English

Deep Feelings: A Massive Cross-Lingual Study on the Relation between Emotions and Virality

Social and Information Networks 2015-03-17 v1 Computation and Language Computers and Society

Abstract

This article provides a comprehensive investigation on the relations between virality of news articles and the emotions they are found to evoke. Virality, in our view, is a phenomenon with many facets, i.e. under this generic term several different effects of persuasive communication are comprised. By exploiting a high-coverage and bilingual corpus of documents containing metrics of their spread on social networks as well as a massive affective annotation provided by readers, we present a thorough analysis of the interplay between evoked emotions and viral facets. We highlight and discuss our findings in light of a cross-lingual approach: while we discover differences in evoked emotions and corresponding viral effects, we provide preliminary evidence of a generalized explanatory model rooted in the deep structure of emotions: the Valence-Arousal-Dominance (VAD) circumplex. We find that viral facets appear to be consistently affected by particular VAD configurations, and these configurations indicate a clear connection with distinct phenomena underlying persuasive communication.

Keywords

Cite

@article{arxiv.1503.04723,
  title  = {Deep Feelings: A Massive Cross-Lingual Study on the Relation between Emotions and Virality},
  author = {Marco Guerini and Jacopo Staiano},
  journal= {arXiv preprint arXiv:1503.04723},
  year   = {2015}
}

Comments

preprint version of WWW 2015 'Web Science Track' paper

R2 v1 2026-06-22T08:54:16.553Z