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Jiayu Gina Qu

Biographic Data

ID4266641
NAMEJiayu Gina Qu
GIVEN NAMESJiayu Gina
FAMILY NAMEQu
SIGNATUREQU J G
AFFILIATIONSChinese University of Hong Kong
ORCID0000-0001-8031-1842
VERIFIEDYes
TOTAL WORKS4
TOTAL CITATIONS2
AUTHOR COUNT4
EDITOR COUNT0
FIRST PUBLICATION YEAR2022
LATEST PUBLICATION YEAR2026
H-INDEX1
  • Addressing “Political Anger” And “Non-Political Fear” In News Engagement

    W Zou, Jiayu Gina Qu et al.•ARTICLE•Mass Communication & Society•2026

    The rise of AI technologies has transformed news consumption, yet little is known about the mechanism of how human-AI interactions influence audiences’ emotional reactions and civic behaviors. This study employed a 2 (China vs. U.S. AI chatbot) × 2 (cognitive vs. emotional language style) × 2 (political vs. nonpolitical news) factorial experimental design to address these questions. The results indicate that interacting with AI chatbots can mitig…

  • Me, pet, and robot

    Open Access•Yihan Li, Jiayu Gina Qu et al.•ARTICLE•Convergence The International…•2026•References: 41

    Remote-control technologies have expanded into homes, potentially transforming domestic dynamics by altering how pets are monitored, interacted with, and cared for within domestic environments. This study delves into the user experiences and societal implications of Enabot, a mobile surveillance robot designed for pets in China. We employ telepresence to gauge operators’ perception of being present in a mediated and physical environment, focusing…

  • An Algorithmically Woven Community

    Open Access•Jinping Wang, Jiayu Gina Qu et al.•ARTICLE•Social Media + Society•2023•References: 48

    Nowadays, algorithms are extensively used on social platforms for content recommendations and user connections. In this study, through semi-structured interviews with 22 China-based users of RED (i.e., an algorithm-mediated platform similar to TikTok), we investigate how users who have experienced mental illnesses (depression, anxiety, and bipolar disorder) understand RED algorithms and how these algorithms shape their self-disclosure, imagined a…

  • Depicting the Emotion Flow

    Open Access•Jingjing Yi, Jiayu Gina Qu et al.•ARTICLE•Social Media + Society•2022•Cited by: 2•References: 61

    This study collected 2 million posts and reposts regarding the early stage of COVID-19 in China on Weibo from 26 December 2019 to 29 February 2020. Emotion analysis and social network analysis were used to examine the flow of emotional messages (emotion flow) by comparing them with the flow of general messages (information flow). Results indicated that both emotional messages and general messages present a multilayer diffusion pattern and follow …

  • Depicting the Emotion Flow

    Open Access•Jingjing Yi, Jiayu Gina Qu et al.•ARTICLE•Social Media + Society•2022•Cited by: 2•References: 61

    This study collected 2 million posts and reposts regarding the early stage of COVID-19 in China on Weibo from 26 December 2019 to 29 February 2020. Emotion analysis and social network analysis were used to examine the flow of emotional messages (emotion flow) by comparing them with the flow of general messages (information flow). Results indicated that both emotional messages and general messages present a multilayer diffusion pattern and follow …

  • Depicting the Emotion Flow

    Open Access•Jingjing Yi, Jiayu Gina Qu et al.•ARTICLE•Social Media + Society•2022•Cited by: 2•References: 61

    This study collected 2 million posts and reposts regarding the early stage of COVID-19 in China on Weibo from 26 December 2019 to 29 February 2020. Emotion analysis and social network analysis were used to examine the flow of emotional messages (emotion flow) by comparing them with the flow of general messages (information flow). Results indicated that both emotional messages and general messages present a multilayer diffusion pattern and follow …

  • An Algorithmically Woven Community

    Open Access•Jinping Wang, Jiayu Gina Qu et al.•ARTICLE•Social Media + Society•2023•References: 48

    Nowadays, algorithms are extensively used on social platforms for content recommendations and user connections. In this study, through semi-structured interviews with 22 China-based users of RED (i.e., an algorithm-mediated platform similar to TikTok), we investigate how users who have experienced mental illnesses (depression, anxiety, and bipolar disorder) understand RED algorithms and how these algorithms shape their self-disclosure, imagined a…

  • Addressing “Political Anger” And “Non-Political Fear” In News Engagement

    W Zou, Jiayu Gina Qu et al.•ARTICLE•Mass Communication & Society•2026

    The rise of AI technologies has transformed news consumption, yet little is known about the mechanism of how human-AI interactions influence audiences’ emotional reactions and civic behaviors. This study employed a 2 (China vs. U.S. AI chatbot) × 2 (cognitive vs. emotional language style) × 2 (political vs. nonpolitical news) factorial experimental design to address these questions. The results indicate that interacting with AI chatbots can mitig…

  • Me, pet, and robot

    Open Access•Yihan Li, Jiayu Gina Qu et al.•ARTICLE•Convergence The International…•2026•References: 41

    Remote-control technologies have expanded into homes, potentially transforming domestic dynamics by altering how pets are monitored, interacted with, and cared for within domestic environments. This study delves into the user experiences and societal implications of Enabot, a mobile surveillance robot designed for pets in China. We employ telepresence to gauge operators’ perception of being present in a mediated and physical environment, focusing…

Computer Science (2 works) · Psychology (2 works) · AI in Service Interactions (1 works) · Algorithm (1 works) · Anger (1 works) · Artificial Intelligence (1 works) · Cognition (1 works) · Cognitive style (1 works) · Complex Network Analysis Techniques (1 works) · Computer vision (1 works)

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