A Survey on Computational Propaganda Detection
- URL: http://arxiv.org/abs/2007.08024v1
- Date: Wed, 15 Jul 2020 22:25:51 GMT
- Title: A Survey on Computational Propaganda Detection
- Authors: Giovanni Da San Martino, Stefano Cresci, Alberto Barron-Cedeno,
Seunghak Yu, Roberto Di Pietro, Preslav Nakov
- Abstract summary: Propaganda campaigns aim at influencing people's mindset with the purpose of advancing a specific agenda.
They exploit the anonymity of the Internet, the micro-profiling ability of social networks, and the ease of automatically creating and managing coordinated networks of accounts.
- Score: 31.42480765785039
- License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
- Abstract: Propaganda campaigns aim at influencing people's mindset with the purpose of
advancing a specific agenda. They exploit the anonymity of the Internet, the
micro-profiling ability of social networks, and the ease of automatically
creating and managing coordinated networks of accounts, to reach millions of
social network users with persuasive messages, specifically targeted to topics
each individual user is sensitive to, and ultimately influencing the outcome on
a targeted issue. In this survey, we review the state of the art on
computational propaganda detection from the perspective of Natural Language
Processing and Network Analysis, arguing about the need for combined efforts
between these communities. We further discuss current challenges and future
research directions.
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