Survey data on COVID-19-related fake news sharing on Facebook
Cristiane Melchior, Thierry Warin, Mírian Oliveira

TL;DR
This paper presents survey data on factors influencing sharing of fake news about COVID-19 on Facebook, collected from users in Brazil.
Contribution
The study provides a dataset linking self-reported fake news sharing with trust, literacy, and motivation factors during a global health crisis.
Findings
The dataset includes 338 valid responses with measures of fake news sharing and digital literacy.
Demographic and behavioral data are provided for analysis of trust in unreliable sources during a crisis.
Abstract
This data article describes the dataset derived from a survey investigating the factors associated with sharing fake news about COVID-19 on Facebook. The dataset comprises 338 valid responses collected between November 29, 2022, and January 17, 2023, primarily from users in Brazil. The questionnaire remained open until May 3, 2024, receiving 55 additional valid responses, which are provided as an additional resource. The data includes individual self-reported measures for Fake News Sharing (FNS), Trust (TR) in information on Facebook, Literacy Skills (LS), and Motivation of Friends to Share Information (MFSI) (including intrinsic and extrinsic constructs), alongside key demographic information such as age, gender, and education level. This resource is valuable for researchers in computational social science, crisis communication, and public health, as it enables quantitative and…
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Taxonomy
TopicsMisinformation and Its Impacts · Social Media and Politics · Communication and COVID-19 Impact
