The Effect of Deepfake Video on News Credibility and Corrective Influence of Cost-Based Knowledge about Deepfakes

可靠性 计算机科学 假新闻 心理学 来源可信度 互联网隐私 数据科学 政治学 法学
作者
Soo Yun Shin,Jiyoung Lee
出处
期刊:Digital journalism [Taylor & Francis]
卷期号:10 (3): 412-432 被引量:48
标识
DOI:10.1080/21670811.2022.2026797
摘要

With rapid technical advancements, deepfakes—i.e., hyper-realistic fake videos using face swaps—have become more widespread and easier to create, challenging the old notion of "seeing is believing." Despite raised concerns over potential impacts of deepfakes on people's credibility toward audio-visual evidence in journalism, systematic investigation of the topic has been lacking. This study conducted an experiment (N = 230) that tested (1) how a news article using deepfake video (vs. real video) affects news credibility and viral behavioral intentions and (2) whether, based on signaling theory, obtaining knowledge about the low cost of producing deepfakes reduces the impact of deepfake news. Results show that people whose pre-existing attitudes toward controversial issues (abortion, marijuana legalization) are congruent with the advocated position of a news article are more likely to believe and be willing to share deepfake news as much as real video news. In addition, educating participants about the low cost of producing deepfakes was effective in reducing the credibility and viral behavioral intention of deepfake news for those who have congruent issue attitudes. This study provides evidence for differing levels of susceptibility for deepfake news and the importance of media literacy education regarding deepfakes that would prevent biased reasoning.
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