Haoran Chu

Dr. Haoran Chu

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Research Focus & Metrics

Academic Career Length

8Years (2019-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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1 August 2021 in Patient Education and Counseling
Verified
Journal Article
Closed access
HCHaoran Chu
Haoran Chu
SLSixiao Liu
Sixiao Liu

9 December 2019 in Science Communication
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Journal Article
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HCHaoran Chu
Haoran Chu
JYJanet Yang
Janet Yang
Anchored by construal level theory and appraisal theories of emotion, this study examines whether discrete emotions vary along with perceived psychological distance of climate change impacts. We found that reduced psychological distance perception led to an increase in concrete emotions such as anger, fear, sadness, and guilt. In contrast, increased psychological distance perception led to an increase in hope—an abstract emotion. Compared to anger, anxiety, and hope, fear, guilt, and shame had more limited impact on climate mitigation action and policy support. Trait empathy moderated the effect of psychological distance manipulation on distance perception and emotions.

20 January 2020 in Risk Analysis
Verified
Journal Article
Closed access
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HCHaoran Chu
Haoran Chu
JYJanet Yang
Janet Yang

13 September 2024 in Journal of Communication
Verified
Journal Article
Closed access
PDF file
HCHaoran Chu
Haoran Chu
SLSixiao Liu
Sixiao Liu
Storytelling is a human universal. The ubiquity of stories and the rapid development in Artificial Intelligence (AI) pose important questions: can AI like ChatGPT tell engaging and persuasive stories? If so, what makes a narrative engaging and persuasive? Three pre-registered experiments comparing human-generated narratives from existing research and the ChatGPT-generated versions using descriptions and materials from these studies show that labeling AI as a narrative source led to lower transportation, higher counterarguing, and lower story-consistent beliefs. However, AI-generated narratives led to lower (Study 1 and 3) or similar levels (Study 2) of counterarguing than the human-generated version. Readers showed lower (Study 2) or similar levels of transportation (Study 1 and 3) when reading the AI- than the human-generated stories. We suggest the AI model’s linguistic competence and logical coherence contribute to its stories’ verisimilitude. However, AI’s lack of lived experience and creativity may limit its storytelling ability.