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Wang Ngai Yeung

Biographic Data

ID4629614
NAMEWang Ngai Yeung
GIVEN NAMESWang Ngai
FAMILY NAMEYeung
SIGNATUREYEUNG W N
AFFILIATIONSNortheastern University
ORCID0009-0005-0916-9552
VERIFIEDYes
TOTAL WORKS5
TOTAL CITATIONS0
WORKS AS AUTHOR5
WORKS AS EDITOR0
FIRST PUBLICATION YEAR2024
LATEST PUBLICATION YEAR2026
H-INDEX0
  • On Controlled Change

    Tomás Dodds, Wang Ngai Yeung et al.•ARTICLE•Journalism Studies•2026•References: 17

  • Guiding the way

    Open Access•Mathias-Felipe De-Lima-Santos, Wang Ngai Yeung et al.•ARTICLE•AI & Society•2025

    With the increasing adoption of artificial intelligence (AI) technologies in the news industry, media organizations have begun publishing guidelines that aim to promote the responsible, ethical, and unbiased implementation of AI-based technologies. These guidelines are expected to serve journalists and media workers by establishing best practices and a framework that helps them navigate ever-evolving AI tools. Drawing on institutional theory and …

  • Can we use automated approaches to measure the quality of online political discussion? How to (not) measure interactivity, diversity, rationality, and incivility in online comments to the news

    Open Access•Sjoerd B Stolwijk, Mark Boukes et al.•ARTICLE•Communication Methods and Measures•2025•References: 20

    This article explores the (in)ability of automated tools to measure the deliberative quality of online user comments along the standards set out by Habermas: interactivity, diversity, rationality, and (in)civility. Utilizing a stratified sample of manually coded comments (n = 3,862) responding to news videos on YouTube and Twitter, we examined the performance of rule-based measures (i.e. dictionaries), machine-learning classifiers (conventional a…

  • Knowledge Silos as a Barrier to Responsible AI Practices in Journalism? Exploratory Evidence from Four Dutch News Organisations

    Open Access•Tomás Dodds, Astrid Vandendaele et al.•ARTICLE•Journalism Studies•2025•References: 33

    The effective adoption of responsible AI practices in journalism requires a concerted effort to bridge different perspectives, including technological, editorial, and managerial. Among the many challenges that could impact information sharing around responsible AI inside news organisations are knowledge silos, where information is isolated within one part of the organisation and not easily shared with others. This study aims to study how knowledg…

  • Bound by Exile

    Open Access•Tomás Dodds, Rana Arafat et al.•ARTICLE•Journalism Studies•2024•References: 12

    The escalating dangers journalists face globally have led to a marked increase in media professionals seeking safety away from their home countries. As a result, journalists are increasingly forced to choose between silence and survival, with many opting for the latter in the form of diaspora relocation. This article investigates the role of kinship in community building among diaspora journalists, highlighting how these networks impact their col…

No prominent works on this page.

  • Bound by Exile

    Open Access•Tomás Dodds, Rana Arafat et al.•ARTICLE•Journalism Studies•2024•References: 12

    The escalating dangers journalists face globally have led to a marked increase in media professionals seeking safety away from their home countries. As a result, journalists are increasingly forced to choose between silence and survival, with many opting for the latter in the form of diaspora relocation. This article investigates the role of kinship in community building among diaspora journalists, highlighting how these networks impact their col…

  • Guiding the way

    Open Access•Mathias-Felipe De-Lima-Santos, Wang Ngai Yeung et al.•ARTICLE•AI & Society•2025

    With the increasing adoption of artificial intelligence (AI) technologies in the news industry, media organizations have begun publishing guidelines that aim to promote the responsible, ethical, and unbiased implementation of AI-based technologies. These guidelines are expected to serve journalists and media workers by establishing best practices and a framework that helps them navigate ever-evolving AI tools. Drawing on institutional theory and …

  • Can we use automated approaches to measure the quality of online political discussion? How to (not) measure interactivity, diversity, rationality, and incivility in online comments to the news

    Open Access•Sjoerd B Stolwijk, Mark Boukes et al.•ARTICLE•Communication Methods and Measures•2025•References: 20

    This article explores the (in)ability of automated tools to measure the deliberative quality of online user comments along the standards set out by Habermas: interactivity, diversity, rationality, and (in)civility. Utilizing a stratified sample of manually coded comments (n = 3,862) responding to news videos on YouTube and Twitter, we examined the performance of rule-based measures (i.e. dictionaries), machine-learning classifiers (conventional a…

  • Knowledge Silos as a Barrier to Responsible AI Practices in Journalism? Exploratory Evidence from Four Dutch News Organisations

    Open Access•Tomás Dodds, Astrid Vandendaele et al.•ARTICLE•Journalism Studies•2025•References: 33

    The effective adoption of responsible AI practices in journalism requires a concerted effort to bridge different perspectives, including technological, editorial, and managerial. Among the many challenges that could impact information sharing around responsible AI inside news organisations are knowledge silos, where information is isolated within one part of the organisation and not easily shared with others. This study aims to study how knowledg…

  • On Controlled Change

    Tomás Dodds, Wang Ngai Yeung et al.•ARTICLE•Journalism Studies•2026•References: 17

Social Media and Politics (3 works) · Sociology (3 works) · Computer Science (2 works) · Ethics and Social Impacts of AI (2 works) · Journalism (2 works) · Knowledge management (2 works) · Media Influence and Politics (2 works) · Media studies (2 works) · Political science (2 works) · Public relations (2 works)

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