Exploring Text Virality in Social Networks


  • Marco Guerini Fondazione Bruno Kessler - IRST
  • Carlo Strapparava Fondazione Bruno Kessler - IRST
  • Gozde Ozbal Fondazione Bruno Kessler - IRST


This paper aims to shed some light on the concept of virality - especially in social networks - and to provide new insights on its structure. We argue that: (a) virality is a phenomenon strictly connected to the nature of the content being spread, rather than to the influencers who spread it (b) virality is a phenomenon with many facets, i.e. under this generic term several different effects of persuasive communication are comprised and they only partially overlap. To give ground to our claims, we provide initial experiments in a machine learning framework to show how various aspects of virality can be independently predicted according to content features.




How to Cite

Guerini, M., Strapparava, C., & Ozbal, G. (2021). Exploring Text Virality in Social Networks. Proceedings of the International AAAI Conference on Web and Social Media, 5(1), 506-509. Retrieved from https://ojs.aaai.org/index.php/ICWSM/article/view/14169