Fake news, rumor, information pollution in social media and web: A contemporary survey of state-of-the-arts, challenges and opportunities
By P. Meel, Dinesh Kumar Vishwakarma. Expert systems with applications, 2020
483 citations recorded by the source corpus.
Abstract Internet and social media have become a widespread, large scale and easy to use platform for real-time information dissemination. It has become an open stage for discussion, ideology expression, knowledge dissemination, emotions and sentiment sharing. This platform is gaining tremendous attraction and a huge user base from all sections and age groups of society. The matter of concern is that up to what extent the contents that are circulating among all these platforms every second changing the mindset, perceptions and lives of billions of people are verified, authenticated and up to the standards. This paper puts forward a holistic view of how the information is being weaponized to fulfil the malicious motives and forcefully making a biased user perception about a person, event or firm. Further, a taxonomy is provided for the classification of malicious information content at different stages and prevalent technologies to cope up with this issue form origin, propagation, detection and containment stages. We also put forward a research gap and possible future research directions so that the web information content could be more reliable and safer to use for decision making as well as for knowledge sharing.
Subfields: Information Systems, Sociology and Political Science, Statistical and Nonlinear Physics
View Paper: https://www.semanticscholar.org/paper/3a85eb79af0aae85aec46feb7930ae32d44f4dce
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In Information Systems
In Sociology and Political Science
In Statistical and Nonlinear Physics
Citations in the corpus
- Knowledge Conflicts for LLMs: A Survey (2024, background): “Previous research has shown that LMs can be significantly influenced by misinformation or outdated information within a specific context (Zhang and Choi, 2021; Du et al., 2022b).”
- Fake news, disinformation and misinformation in social media: a review (2023, unknown): “Some focus not only on fake news, but also distinguish between fake news and rumor (Bondielli and Marcelloni 2019; Meel and Vishwakarma 2020), while others tackle the whole problem, from characterization to processing techniques (Shu et al. 2017; Guo et al. 2020; Zhou and Zafarani 2020).”
- Knowledge Graphs: Opportunities and Challenges (2023, background): “Therefore, a considerable amount of research has been done for fake news detection (Choi et al. 2020; Meel and Vishwakarma 2020).”