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Rukun Zhang

Biographic Data

ID6715921
NAMERukun Zhang
GIVEN NAMESRukun
FAMILY NAMEZhang
SIGNATUREZHANG R
AFFILIATIONSShenzhen University
ORCID0000-0002-6987-9311
VERIFIEDYes
TOTAL WORKS6
TOTAL CITATIONS0
WORKS AS AUTHOR6
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…

  • Bodily Realities in Digital Journalism

    Runze Qu, Rukun Zhang et al.•ARTICLE•Journalism Studies•2025•References: 11

  • Attitudinal, Normative, and Resource Factors Affecting Communication Scholars’ Data Sharing

    Open Access•Jinghong Xu, Rukun Zhang•ARTICLE•Media and Communication•2024

    This study explores the factors affecting communication scholars’ data-sharing intentions, a critical component of reproducibility and replicability in open science. We replicate Harper and Kim’s (2018) study, which employs the theory of planned behavior to demonstrate the impacts of attitudinal, normative, and resource factors. Specifically, their original research examines data-sharing practices among psychologists, and our replication aims to …

  • Automatic Coding Mechanisms for Open-Ended Questions in Journalism Surveys

    Rukun Zhang, Jiangu Gong et al.•ARTICLE•Digital Journalism•2023

    Answers from open-ended questions are a valuable part of journalism surveys. However, due to the expense and difficulties involved in manual coding, the current situation, in which open-ended questions are used and analyzed in large-scale web surveys, is not satisfactory. This article reviews the types, coding tasks, and automatic coding techniques of open-ended questions. We propose a five-step procedure on how to analyze open-ended questions th…

No prominent works on this page.

  • Automatic Coding Mechanisms for Open-Ended Questions in Journalism Surveys

    Rukun Zhang, Jiangu Gong et al.•ARTICLE•Digital Journalism•2023

    Answers from open-ended questions are a valuable part of journalism surveys. However, due to the expense and difficulties involved in manual coding, the current situation, in which open-ended questions are used and analyzed in large-scale web surveys, is not satisfactory. This article reviews the types, coding tasks, and automatic coding techniques of open-ended questions. We propose a five-step procedure on how to analyze open-ended questions th…

  • Attitudinal, Normative, and Resource Factors Affecting Communication Scholars’ Data Sharing

    Open Access•Jinghong Xu, Rukun Zhang•ARTICLE•Media and Communication•2024

    This study explores the factors affecting communication scholars’ data-sharing intentions, a critical component of reproducibility and replicability in open science. We replicate Harper and Kim’s (2018) study, which employs the theory of planned behavior to demonstrate the impacts of attitudinal, normative, and resource factors. Specifically, their original research examines data-sharing practices among psychologists, and our replication aims to …

  • 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…

  • Bodily Realities in Digital Journalism

    Runze Qu, Rukun Zhang et al.•ARTICLE•Journalism Studies•2025•References: 11

  • 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…

Computer Science (3 works) · AI in Service Interactions (2 works) · Computational and Text Analysis Methods (2 works) · Data Quality and Management (2 works) · Data science (2 works) · Impact of Technology on Adolescents (2 works) · Psychology (2 works) · Sociology (2 works) · World Wide Web (2 works) · Artificial Intelligence in Healthcare and Education (1 work)

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