TY - CPAPER
AU - Gunson, Nancie
AU - Sieinska, Weronika
AU - Yu, Yanchao
AU - Hernandez Garcia, Daniel
AU - Part, Jose
AU - Dondrup, Christian
AU - Lemon, Oliver
PY - 2021
DA - September
TI - Coronabot: A Conversational AI System for Tackling Misinformation
EP - 270
DO - https://doi.org/10.1145/3462203.3475874
AB - Covid-19 has brought with it an onslaught of information for the public, some true and some false, across virtually every platform. For an individual, the task of sifting through the deluge for reliable, accurate facts is significant and potentially off-putting. This matters since fundamentally, containment of the pandemic relies on individuals' compliance with public health measures and their understanding of the need for them, and any barrier to this, including misinformation, can have profoundly negative effects. In this paper we present a conversational AI system which tackles misinformation using a two-pronged approach: firstly, by giving users easy, Natural Language access via speech or text to concise, reliable information synthesised from multiple authoritative sources; and secondly, by directly rebutting commonly circulated myths surrounding coronavirus. The initial system is targeted at staff and students of a University, but has the potential for wide applicability. In tests of the system's Natural Language Understanding (NLU) we achieve an F1-score of 0.906. We also discuss current research challenges in the area of conversational Natural Language interfaces for health information.
PB - Association for Computing Machinery
UR - https://researchportal.hw.ac.uk/en/publications/5732bbd0-9b4e-489e-83d7-0dce34f922b4
KW - Coronavirus (COVID-19)
ER