Work

Health Misinformation Detection in Web Content

Year: 2021

Type: conference-paper

Abstract: In recent years, we have witnessed the proliferation of large amounts of online content generated directly by users with virtually no form of external control, leading to the possible spread of misinformation. The search for effective solutions to this problem is still ongoing, and covers different areas of application, from opinion spam to fake news detection. A more recently investigated scenario, despite the serious risks that incurring disinformation could entail, is that of the online dissemination of health information.

DOI: 10.1145/3462203.3475898

Authors: Rishabh Upadhyay, Gabriella Pasi, Marco Viviani

Institution: University of Milano-Bicocca

Language: English

Topic: Misinformation and Its Impacts

Subfield: Sociology and Political Science

Field: Social Sciences

Domain: Social Sciences

SDG: Good health and well-being

Open Access status: green

Funder: Horizon 2020 Framework Programme

Awards: G2280656080, G7501014153