Misinformation Concierge: A Proof-of-Concept with Curated Twitter Dataset on COVID-19 Vaccination

Shakshi Sharma, Anwitaman Datta, Vigneshwaran Shankaran, Rajesh Sharma
8/25/2023
cs.CLcs.SI

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Abstract

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/

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Cite this paper

@article{sharma2023misinformation,
  title  = {Misinformation Concierge: A Proof-of-Concept with Curated Twitter Dataset on COVID-19 Vaccination},
  author = {Shakshi Sharma and Anwitaman Datta and Vigneshwaran Shankaran and Rajesh Sharma},
  year   = {2023},
  eprint = {2309.00639},
  archivePrefix = {arXiv},
  url    = {http://arxiv.org/abs/2309.00639v1}
}

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