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Bingcan Li

Biographic Data

ID8959592
NAMEBingcan Li
GIVEN NAMESBingcan
FAMILY NAMELi
SIGNATURELI B
AFFILIATIONSShenzhen University
ORCID0000-0001-6899-5276
VERIFIEDYes
TOTAL WORKS4
TOTAL CITATIONS0
WORKS AS AUTHOR4
WORKS AS EDITOR0
FIRST PUBLICATION YEAR2023
LATEST PUBLICATION YEAR2026
H-INDEX0
  • Transparency, citations, and speed

    Rukun Zhang, Qingqing Xie et al.•ARTICLE•Chinese Journal of Communication•2026

    As explainable AI gains prominence, the question of how its communication design influences user behavior in online health platforms remains underexplored. This study introduces the Human–AI Communication Pathway Optimization Model (HACPOM). This model integrates AI design nudges to explain how transparency of thinking (opaque vs. transparent), source referencing (no source vs. journal), and response latency (fast vs. slow) can influence adoption…

  • Exploring the dynamics of data sharing in open science among Chinese scholars

    Open Access•Rukun Zhang, Bingcan Li•ARTICLE•Global Media and China•2025

    Data sharing is request under open science policy. The inconsistent juxtaposition of positive attitudes toward open communication science (OCS) with low levels of commitment to data sharing is underinvestigated. This study explores the factors influencing data sharing by integrating protection motivation theory (PMT) with the theory of planned behavior (TPB). Specifically, this research draws attention to (1) the influence of six predicting varia…

  • Personalization and social closeness buffer negative reactions to AI-generated birthday wishes on social media

    Rukun Zhang, Yiling Liu et al.•ARTICLE•Information Communication & Society•2025

    Generative AI is reshaping how friendships are maintained, yet the implications of this technology for such social bonds in online contexts remain unclear. We conducted two 2 × 2 factorial between-subjects experiments to investigate this issue. In Study 1 (N = 341), we manipulated the source of a greeting message (human-written vs. AI-generated) and text personalization (non-personalized vs. personalized). In Study 2 (N = 325), we manipulated mes…

  • A longitudinal study on the impact of parental academic support and expectations on students’ academic achievement

    Open Access•Guanjun Li, Bingcan Li et al.•ARTICLE•European Journal of Psychology of…•2023

No prominent works on this page.

  • A longitudinal study on the impact of parental academic support and expectations on students’ academic achievement

    Open Access•Guanjun Li, Bingcan Li et al.•ARTICLE•European Journal of Psychology of…•2023

  • Exploring the dynamics of data sharing in open science among Chinese scholars

    Open Access•Rukun Zhang, Bingcan Li•ARTICLE•Global Media and China•2025

    Data sharing is request under open science policy. The inconsistent juxtaposition of positive attitudes toward open communication science (OCS) with low levels of commitment to data sharing is underinvestigated. This study explores the factors influencing data sharing by integrating protection motivation theory (PMT) with the theory of planned behavior (TPB). Specifically, this research draws attention to (1) the influence of six predicting varia…

  • Personalization and social closeness buffer negative reactions to AI-generated birthday wishes on social media

    Rukun Zhang, Yiling Liu et al.•ARTICLE•Information Communication & Society•2025

    Generative AI is reshaping how friendships are maintained, yet the implications of this technology for such social bonds in online contexts remain unclear. We conducted two 2 × 2 factorial between-subjects experiments to investigate this issue. In Study 1 (N = 341), we manipulated the source of a greeting message (human-written vs. AI-generated) and text personalization (non-personalized vs. personalized). In Study 2 (N = 325), we manipulated mes…

  • Transparency, citations, and speed

    Rukun Zhang, Qingqing Xie et al.•ARTICLE•Chinese Journal of Communication•2026

    As explainable AI gains prominence, the question of how its communication design influences user behavior in online health platforms remains underexplored. This study introduces the Human–AI Communication Pathway Optimization Model (HACPOM). This model integrates AI design nudges to explain how transparency of thinking (opaque vs. transparent), source referencing (no source vs. journal), and response latency (fast vs. slow) can influence adoption…

AI in Service Interactions (2 works) · Psychology (2 works) · Academic achievement (1 work) · Artificial Intelligence in Healthcare and Education (1 work) · Child and Adolescent Psychosocial and Emotional Development (1 work) · Choice architecture (1 work) · Closeness (1 work) · Computer Science (1 work) · Data Quality and Management (1 work) · Data science (1 work)

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