Analyzing Misinformation and Disinformation: Understanding Swiss COVID-19 Narratives Through Natural Language Processing Analysis

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Authors

Federico Germani · ZHAW Zurich University of Applied Sciences

Giovanni Spitale · ZHAW Zurich University of Applied Sciences

Franc Fritschi · Swiss Tropical and Public Health Institute

Sonja Merten · Swiss Tropical and Public Health Institute

Nikola Biller-Andorno · ZHAW Zurich University of Applied Sciences

Abstract

Diverging narratives on the very concepts of misinformation and disinformation across public discourse reflect broader societal tensions. Robust journalistic integrity in the media and resilience strategies against misinformation and disinformation involving empowering publics through information literacy approaches are critical to bridging divides and reducing polarization.

Topics & Keywords

Misinformation and Its Impacts Public Relations and Crisis Communication Computational and Text Analysis Methods

UN Sustainable Development Goals

Peace, Justice and strong institutions

Publication Details

Published in: JMIR Infodemiology

Volume 6, pp. e76441-e76441

DOI: 10.2196/76441

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