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Impact of discrete emotions on audience engagement with climatechange videos on Chinese TikTok (Douyin)
by
Li, Zhiyu
, Wang, Chuqi
in
Anger
/ Audience
/ Audiences
/ Climate Change
/ Communication
/ Computer mediated communication
/ Content analysis
/ Discrete
/ Douyin
/ Emotion recognition
/ Emotional
/ Emotions
/ Engagement
/ Expression
/ Facial Emotion
/ Facial expressions
/ Happiness
/ Machine Learning
/ Negative emotions
/ Recognition Technology
/ Self expression
/ Social networks
/ Video Presenters
2024
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Impact of discrete emotions on audience engagement with climatechange videos on Chinese TikTok (Douyin)
by
Li, Zhiyu
, Wang, Chuqi
in
Anger
/ Audience
/ Audiences
/ Climate Change
/ Communication
/ Computer mediated communication
/ Content analysis
/ Discrete
/ Douyin
/ Emotion recognition
/ Emotional
/ Emotions
/ Engagement
/ Expression
/ Facial Emotion
/ Facial expressions
/ Happiness
/ Machine Learning
/ Negative emotions
/ Recognition Technology
/ Self expression
/ Social networks
/ Video Presenters
2024
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Do you wish to request the book?
Impact of discrete emotions on audience engagement with climatechange videos on Chinese TikTok (Douyin)
by
Li, Zhiyu
, Wang, Chuqi
in
Anger
/ Audience
/ Audiences
/ Climate Change
/ Communication
/ Computer mediated communication
/ Content analysis
/ Discrete
/ Douyin
/ Emotion recognition
/ Emotional
/ Emotions
/ Engagement
/ Expression
/ Facial Emotion
/ Facial expressions
/ Happiness
/ Machine Learning
/ Negative emotions
/ Recognition Technology
/ Self expression
/ Social networks
/ Video Presenters
2024
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Impact of discrete emotions on audience engagement with climatechange videos on Chinese TikTok (Douyin)
Journal Article
Impact of discrete emotions on audience engagement with climatechange videos on Chinese TikTok (Douyin)
2024
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Overview
In this study we explored the effect of the discrete emotions of short-video presenters on audience engagement with climate-change videos on Chinese TikTok (Douyin). We performed an automated content analysis of 510 science communication videos, with a focus on the emotional expression
of the presenter and interactions of emotions. Our findings revealed that the negative emotion of anger dominated climate-change videos and significantly influenced audience engagement. To our surprise, the presence of the emotion of happiness in the audio led to decreased engagement. We also
uncovered the critical role of complex emotional interactions in affecting audience engagement, with combinations of positive and negative emotions being particularly influential. Furthermore, we employed facial emotion recognition and the SpeechBrain machine-learning technique for emotion
detection in the videos, a methodological approach that is innovative and ensures objective and accurate analysis, as well as offering new possibilities for research.
Publisher
Scientific Journal Publishers,Scientific Journal Publishers Ltd
Subject
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