Studying Fake News Spreading, Polarisation Dynamics, and Manipulation by Bots: a Tale of Networks and Language
arXiv:2109.07909 · doi:10.1016/j.cosrev.2022.100531
Abstract
With the explosive growth of online social media, the ancient problem of information disorders interfering with news diffusion has surfaced with a renewed intensity threatening our democracies, public health, and news outlets' credibility. Therefore, thousands of scientific papers have been published in a relatively short period, making researchers of different disciplines struggle with an information overload problem. The aim of this survey is threefold: (1) we present the results of a network-based analysis of the existing multidisciplinary literature to support the search for relevant trends and central publications; (2) we describe the main results and necessary background to attack the problem under a computational perspective; (3) we review selected contributions using network science as a unifying framework and computational linguistics as the tool to make sense of the shared content. Despite scholars working on computational linguistics and networks traditionally belong to different scientific communities, we expect that those interested in the area of fake news should be aware of crucial aspects of both disciplines.
43 pages, 9 figures
References in corpus (17)
- Fast unfolding of communities in large networks
- Distributed Representations of Sentences and Documents
- Statistical physics of social dynamics
- The science of fake news
- Nonequilibrium phase transition in the coevolution of networks and opinions
- Fake News Detection on Social Media: A Data Mining Perspective
- Finding Scientific Gems with Google
- Automatic Detection of Fake News
- On the Role of Zealotry in the Voter Model
- OpenAlex: A fully-open index of scholarly works, authors, venues, institutions, and concepts
- Coevolution of agents and networks: Opinion spreading and community disconnection
- Do Social Bots Dream of Electric Sheep? A Categorisation of Social Media Bot Accounts
- Emergence of influential spreaders in modified rumor models
- A Survey on Automated Fact-Checking
- The Impact of Disinformation on a Controversial Debate on Social Media
- #Brexit: Leave or Remain? The Role of User's Community and Diachronic Evolution on Stance Detection
- FakeNewsLab: Experimental Study on Biases and Pitfalls Preventing us from Distinguishing True from False News
Cited by in corpus (3)
- Propaganda and Misinformation on Facebook and Twitter during the Russian Invasion of Ukraine
- pyBiblioNet: a Python library for a comprehensive network-based bibliometric analysis
- Emotion-aware Dual Cross-Attentive Neural Network with Label Fusion for Stance Detection in Misinformative Social Media Content