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Decoding Clickbait: The Impact of Clickbait Types and Structures on Cognitive and Emotional Responses in Online
Yikai Wang1, Bin Hu2, Chaolan Tang1
1School of Art and Design, Guangdong University of Technology, Guangzhou, China.
Cyberpsychology, Behavior and Social Networking
|November 13, 2024
Summary
Clickbait types like hyperbole and visual rhetoric grab attention, while puzzle types require more cognitive effort. Emotion-laden words in clickbait boost engagement and processing, especially with negative emotions.
Area of Science:
- Psychology
- Human-Computer Interaction
- Digital Media Studies
Background:
- Online content relies heavily on engagement strategies.
- Clickbait headlines are prevalent but their cognitive and emotional impacts are not fully understood.
- Ethical considerations of clickbait usage require empirical investigation.
Purpose of the Study:
- To investigate the cognitive and emotional responses to different clickbait types and structures.
- To analyze the impact of hyperbole, insinuation, visual rhetoric, and puzzle clickbait on user engagement.
- To examine how emotion-label and emotion-laden words influence online user processing.
Main Methods:
- Electroencephalography (EEG) was used to measure brain activity in 32 participants.
- Participants were exposed to various clickbait types and structures in an online environment.
- Cognitive and emotional responses, including attention and processing, were analyzed.
Main Results:
- Hyperbole and visual rhetoric clickbait types rapidly capture attention and increase emotional engagement.
- Insinuative and puzzling clickbait types necessitate greater cognitive effort and deeper information processing.
- Emotion-laden words, particularly in negative contexts, accelerate cognitive processing and amplify emotional reactions.
Conclusions:
- Clickbait characteristics significantly modulate user cognitive and emotional responses online.
- Content creators can leverage these findings for more effective, yet ethical, engagement strategies.
- This study provides a foundation for understanding ethical digital content practices and user perception.
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