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Article detail · 2023

Fake news detection on social media: the predictive role of university students’ critical thinking dispositions and new media literacy

Journal

Smart Learning Environments

ISSN 2196-7091

YÖKSİS OpenAlex Open access · gold SJR Q1 JCR Q1 Citations 73 Top 1% Percentile 99.8% FWCI 34.15
Year
2023
Type
article

Data source split

  • YÖKSİS YÖKSİS article record
  • YÖKSİS venue Smart Learning Environments
  • Catalog match (ISSN) Smart Learning Environments
  • OpenAlex OpenAlex enrichment (abstract, citations, topics)

Abstract

OpenAlex · English

This study aimed to investigate the predictive role of critical thinking dispositions and new media literacies on the ability to detect fake news on social media. The sample group of the study consisted of 157 university students. Sosu Critical Thinking Dispositions Scale, New Media Literacy Scale, and fake news detection task were employed to gather the data. It was found that university students possess high critical thinking dispositions and new media literacies as well as high fake news detection abilities and there is a positive and moderate relationship among these variables. Also, this study revealed that critical thinking dispositions and new media literacies significantly predicted university students' abilities to detect fake news on social media and they together explained 18% of the total variance on fake news detection. Besides, university students' critical thinking dispositions presented a larger effect on their abilities to detect fake news than new media literacies.

Topics

Citations

OpenAlex cited_by_count. Not a WoS or Scopus citation count; those sources have no separate column here.

73 citations

OpenAlex cited_by_count (cache / database)

Authors

  1. ALİ ORHAN ZONGULDAK BÜLENT ECEVİT ÜNİVERSİTESİ