ML Anthology

FireAnt: Claim-Based Medical Misinformation Detection and Monitoring

Branislav Pecher, Ivan Srba, Róbert Móro, Matús Tomlein, Mária Bieliková
ECML-PKDD 2020 pp. 555-559
doi:10.1007/978-3-030-67670-4_38 /ecmlpkdd/2020/pecher2020ecmlpkdd-fireant/

Abstract

Massive spreading of medical misinformation on the Web has a significant impact on individuals and on society as a whole. The majority of existing tools and approaches for detection of false information rely on features describing content characteristics without verifying its truthfulness against knowledge bases. In addition, such approaches lack explanatory power and are prone to mistakes that result from domain shifts. We argue that involvement of human experts is necessary for successful misinformation debunking. To this end, we introduce an end-to-end system that uses a claim-based approach (claims being manually fact-checked by human experts), which utilizes information retrieval (IR) and machine learning (ML) techniques to detect medical misinformation. As a part of a web portal called FireAnt, the results are presented to users with easy to understand explanations, enhanced by an innovative use of chatbot interaction and involvement of experts in a feedback loop.

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Cite

Text

Pecher et al. "FireAnt: Claim-Based Medical Misinformation Detection and Monitoring." European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, 2020. doi:10.1007/978-3-030-67670-4_38

Markdown

[Pecher et al. "FireAnt: Claim-Based Medical Misinformation Detection and Monitoring." European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, 2020.](https://mlanthology.org/ecmlpkdd/2020/pecher2020ecmlpkdd-fireant/) doi:10.1007/978-3-030-67670-4_38

BibTeX

@inproceedings{pecher2020ecmlpkdd-fireant,
  title     = {{FireAnt: Claim-Based Medical Misinformation Detection and Monitoring}},
  author    = {Pecher, Branislav and Srba, Ivan and Móro, Róbert and Tomlein, Matús and Bieliková, Mária},
  booktitle = {European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases},
  year      = {2020},
  pages     = {555-559},
  doi       = {10.1007/978-3-030-67670-4_38},
  url       = {https://mlanthology.org/ecmlpkdd/2020/pecher2020ecmlpkdd-fireant/}
}