Misinformation Concierge: A Proof-of-Concept with Curated Twitter Dataset on COVID-19 Vaccination
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Abstract (arXiv)
We demonstrate the Misinformation Concierge, a proof-of-concept that provides actionable intelligence on misinformation prevalent in social media. Specifically, it uses language processing and machine learning tools to identify subtopics of discourse and discern non/misleading posts; presents statistical reports for policy-makers to understand the big picture of prevalent misinformation in a timely manner; and recommends rebuttal messages for specific pieces of misinformation, identified from within the corpus of data - providing means to intervene and counter misinformation promptly. The Misinformation Concierge proof-of-concept using a curated dataset is accessible at: https://demo-frontend-uy34.onrender.com/
Key facts. Cited by 2 papers in the map (data through 7 Oct 2026). Builds on 8 of its 21 references that are in the map. First posted on arXiv 25 Aug 2023.
Builds on
8 of 21 references.
References · 8
- 2018The Rise of Guardians: Fact-checking URL Recommendation to Combat Fake Newscited by 24
- 2020Identifying Possible Rumor Spreaders on Twitter: A Weak Supervised Learning Approachcited by 13
- 2021DEAP-FAKED: Knowledge Graph based Approach for Fake News Detectioncited by 13
- 2021Misinformation Detection on YouTube Using Video Captionscited by 12
- 2021What goes on inside rumour and non-rumour tweets and their reactions: A Psycholinguistic Analysescited by 8
- 2022GAME-ON: Graph Attention Network based Multimodal Fusion for Fake News Detectioncited by 7
- 2020Attributed Multi-Relational Attention Network for Fact-checking URL Recommendationcited by 6
- 2021Misleading the Covid-19 vaccination discourse on Twitter: An exploratory study of infodemic around the pandemiccited by 4
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Citing papers per year: 2023: 2.
2 papers.