Persuasive Language and Virality in Social Networks

  • Carlo Strapparava
  • Marco Guerini
  • Gözde Özbal
Part of the Lecture Notes in Computer Science book series (LNCS, volume 6974)

Abstract

This paper aims to provide new insights on the concept of virality and on its structure - especially in social networks. We argue that: (a) virality is a phenomenon strictly connected to the nature of the content being spread (b) virality is a phenomenon with many affective responses, i.e. under this generic term several different effects of persuasive communication are comprised. To give ground to our claims, we provide initial experiments in a machine learning framework to show how various aspects of virality can be predicted according to content features. We further provide a class-based psycholinguistic analysis of the features salient for virality components.

Keywords

Social Network Affective Response Sentiment Analysis Persuasive Communication Dominance Score 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2011

Authors and Affiliations

  • Carlo Strapparava
    • 1
  • Marco Guerini
    • 1
  • Gözde Özbal
    • 1
  1. 1.FBK-IrstPovoItaly

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