认知
解码方法
心理学
认知心理学
计算机科学
电信
神经科学
作者
Yikai Wang,Hu Bin,Chaolan Tang,Xian Yang
出处
期刊:Cyberpsychology, Behavior, and Social Networking
[Mary Ann Liebert]
日期:2024-11-13
卷期号:28 (1): 18-27
被引量:3
标识
DOI:10.1089/cyber.2024.0295
摘要
This study delves into the influence of clickbait types (hyperbole, insinuation, visual rhetoric, and puzzle) and structures (emotion-label and emotion-laden words) on user cognitive and emotional responses in an online environment. Using electroencephalography with 32 internet-experienced participants, we analyzed how these different clickbait configurations affect engagement and processing. Our findings highlight that clickbait types such as hyperbole and visual rhetoric swiftly capture attention and enhance emotional engagement, whereas insinuative and puzzling clickbait demand more cognitive effort and deeper processing. In addition, the structure of emotional words significantly influences user responses; emotion-laden words facilitate quicker cognitive processing and enhance emotional reactions, particularly in contexts involving negative emotions. These insights offer valuable implications for content creators and marketers in strategizing ethical clickbait usage, aiming to balance user engagement with information integrity. This research contributes to a nuanced understanding of the interplay between content presentation and user perception, providing a foundation for future explorations into ethical digital content practices.
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