Impact of Artificial Intelligence News Source Credibility Identification System on Effectiveness of Media Literacy Education

Tosti H. C. Chiang, Chih-Shan Liao and Wei-Ching Wang
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Tosti H. C. Chiang: Graduate Institute of Mass Communication, National Taiwan Normal University, Taipei 106, Taiwan
Chih-Shan Liao: Graduate Institute of Mass Communication, National Taiwan Normal University, Taipei 106, Taiwan
Wei-Ching Wang: Graduate Institute of Mass Communication, National Taiwan Normal University, Taipei 106, Taiwan

Sustainability, 2022, vol. 14, issue 8, 1-16

Abstract: During presidential elections and showbusiness or social news events, society has begun to address the risk of fake news. The Sustainable Development Goals 4 for Global Education Agenda aims to “ensure inclusive and equitable quality education and promote lifelong learning opportunities for all” by 2030. As a result, various nations have deemed media literacy education a required competence in order for audiences to maintain a discerning attitude and to verify messages rather than automatically believing them. This study developed a highly efficient message discrimination method using new technology using artificial intelligence and big data information processing containing general news and content farm message data on approximately 938,000 articles. Deep neural network technology was used to create a news source credibility identification system. Media literacy was the core of the experimental course design. Two groups of participants used different methods to perform message discrimination. The results revealed that the system significantly expanded the participants’ knowledge of media literacy. The system positively affected the participants’ attitude, confidence, and motivation towards media literacy learning. This research provides a method of identifying fake news in order to ensure that audiences are not affected by fake messages, thereby helping to maintain a democratic society.

Keywords: artificial intelligence; media literacy education; news source credibility identification; learning effectiveness; learning attitude (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2022
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