The Web of False Information: Rumors, Fake News, Hoaxes, Clickbait, and Various Other Shenanigans
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Abstract (arXiv)
A new era of Information Warfare has arrived. Various actors, including state-sponsored ones, are weaponizing information on Online Social Networks to run false information campaigns with targeted manipulation of public opinion on specific topics. These false information campaigns can have dire consequences to the public: mutating their opinions and actions, especially with respect to critical world events like major elections. Evidently, the problem of false information on the Web is a crucial one, and needs increased public awareness, as well as immediate attention from law enforcement agencies, public institutions, and in particular, the research community. In this paper, we make a step in this direction by providing a typology of the Web's false information ecosystem, comprising various types of false information, actors, and their motives. We report a comprehensive overview of existing research on the false information ecosystem by identifying several lines of work: 1) how the public perceives false information; 2) understanding the propagation of false information; 3) detecting and containing false information on the Web; and 4) false information on the political stage. In this work, we pay particular attention to political false information as: 1) it can have dire consequences to the community (e.g., when election results are mutated) and 2) previous work show that this type of false information propagates faster and further when compared to other types of false information. Finally, for each of these lines of work, we report several future research directions that can help us better understand and mitigate the emerging problem of false information dissemination on the Web.
Key facts. Cited by 8 papers in the map (data through 7 Oct 2026). First posted on arXiv 10 Apr 2018.
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Citing papers per year: 2021: 5; 2022: 2; 2023: 0; 2024: 1.
8 papers.
- 2022An Audit of Misinformation Filter Bubbles on YouTube: Bubble Bursting and Recent Behavior Changescited by 15
- 2022A Survey on Influence Maximization: From an ML-Based Combinatorial Optimizationcited by 15
- 2021Dataset of Fake News Detection and Fact Verification: A Surveycited by 11
- 2021WhatTheWikiFact: Fact-Checking Claims Against Wikipediacited by 3
- 2021Visual Framing of Science Conspiracy Videos: Integrating Machine Learning with Communication Theories to Study the Use of Color and Brightnesscited by 1
- 2021"TL;DR:" Out-of-Context Adversarial Text Summarization and Hashtag Recommendationcited by 0
- 2021A Systematic Review on the Detection of Fake News Articlescited by 0
- 2024Analysis of child development facts and myths using text mining techniques and classification modelscited by 0
- 2024Analysis of child development facts and myths using text mining techniques and classification models23 Aug 2024
- 2022A Survey on Influence Maximization: From an ML-Based Combinatorial Optimization6 Nov 2022
- 2022An Audit of Misinformation Filter Bubbles on YouTube: Bubble Bursting and Recent Behavior Changes25 Mar 2022
- 2021Dataset of Fake News Detection and Fact Verification: A Survey5 Nov 2021
- 2021A Systematic Review on the Detection of Fake News Articles18 Oct 2021
- 2021WhatTheWikiFact: Fact-Checking Claims Against Wikipedia16 Apr 2021
- 2021"TL;DR:" Out-of-Context Adversarial Text Summarization and Hashtag Recommendation1 Apr 2021
- 2021Visual Framing of Science Conspiracy Videos: Integrating Machine Learning with Communication Theories to Study the Use of Color and Brightness1 Feb 2021