Bots increase exposure to negative and inflammatory content in online social systems
Abstract
Social media can deeply influence reality perception, affecting millions of people’s voting behavior. Hence, maneuvering opinion dynamics by disseminating forged content over online ecosystems is an effective pathway for social hacking. We propose a framework for discovering such a potentially dangerous behavior promoted by automatic users, also called “bots,” in online social networks. We provide evidence that social bots target mainly human influencers but generate semantic content depending on the polarized stance of their targets. During the 2017 Catalan referendum, used as a case study, social bots generated and promoted violent content aimed at Independentists, ultimately exacerbating social conflict online. Our results open challenges for detecting and controlling the influence of such content on society.
Document Details
- Document Type
- Pub Defense Publication
- Publication Date
- Nov 20, 2018
- Source ID
- 10.1073/pnas.1803470115
Entities
People
- Emilio Ferrara
- Manlio De Domenico
- Massimo Stella
Organizations
- Air Force Office of Scientific Research
- Bruno Kessler Foundation
- University of Southern California