Why Students Share Misinformation on Social Media: Motivation, Gender, and Study-level Differences
By Xinran Chen, Sei-Ching Joanna Sin, Yin Leng Theng, Chei Sian Lee. 2015
243 citations recorded by the source corpus.
Subfields: Communication, Sociology and Political Science
View Paper: https://www.semanticscholar.org/paper/76b42dd98dcdeba0dba2a315d240926c0f3e2597
Citations in the corpus
- An exploratory study of COVID-19 misinformation on Twitter (2020, unknown): “There have been indications that certain user characteristics such as gender [86] and affiliation with the alt-right community [87] may be related to the likelihood of spreading misinformation.”