Journals/Research Articles


  1. Loh, R.S.M. (2025). Can school ICT resources bridge the digital skills divide?. The London School of Economics and Political Science.

  2. Loh, R.S.M., Kraaykamp, G., & van Hek, M. (2025). Plugging in at school: Do schools nurture digital skills and narrow digital skills inequality?. Computers & Education, 226, 105195.

  3. Putra, E.N. (2025). Indonesia’s social media usage law might not protect children. Fulcrum.

  4. Lim, A.C.M., Ng, L.H.X., & Taeihagh, A. (2025). Biometric data landscape in Southeast Asia: Challenges and opportunities for effective regulation. Computer Law & Security Review, Volume 56.

  5. Taeihagh, A. (2025). Governance of Generative AI. Policy and Society.

  6. Neyazi, T.A., Nadaf, A.H., Tan, K.E., & Schroeder, R. (2024). Does trust in government moderate the perception towards deepfakes? Comparative perspectives from Asia on the risks of AI and misinformation for democracy. Government Information Quarterly, Volume 41, Issue 4.

  7. Ho, M.H.S., Gupta, S., Lee, J., Wadhwa, B., & Fu, X. (2024). Detrimental to our digital well-being: Campus sexual misconduct and technology-facilitated sexual violence among university students in Singapore. Violence Against Women, SAGE Publishing.

  8. Jaidka, K., Chen, T., Chesterman, S., Hsu, W., Kan, M.Y., Kankanhalli, M., Lee, M.L., Seres, G., Sim, T., Taeihagh, A., Tung, A., Xiao, X., & Yue, A. (2024). Misinformation, disinformation, and generative AI: Implications for perception and policy. Association for Computing Machinery. Digital Government: Research and Practice.

  9. Yu, J. (2024). What does child empowerment mean today, and what can education systems do to help achieve it? The London School of Economics and Political Science.

  10. Khanal, S., Zhang, H. & Taeihagh, A. (2024). Building an AI ecosystem in a small nation: Lessons from Singapore's journey to the forefront of AI. Humanities and Social Sciences Communications, Volume 11, Article No. 866 (2024).

  11. Zhang, H., Khanal S., & Taeihagh, A. (2024). Public-private powerplays in Generative AI era: Balancing Big Tech regulation amidst global AI race. Association for Computing Machinery. Digital Government: Research and Practice.

  12. Abbas, F. & Taeihagh, A. (2024). Unmasking deepfakes: A systematic review of deepfake detection and generation techniques using artificial intelligence. Expert Systems with Applications.

  13. Luo, X., & Zhang, R. (2024). Decoding the gendered design and (dis)affordances of face-editing technologies in China. International Journal of Human-Computer Studies.

  14. Ahmed, S., Jaidka, K., Chen, V., Chen, A., Cai, M., Emes, C., Yu, V., & Chib, A. (2024). Social media and anti-immigrant prejudice: A multi-method analysis of the role of social media use, threat perceptions, and cognitive ability. Frontiers in Psychology.

  15. Khanal, S., Zhang, H. & Taeihagh, A. (2024). Development of new generation of artificial intelligence in China: When Beijing’s global ambition meet local realities. Journal of Contemporary China.

  16. Khanal, S., Zhang, H. & Taeihagh, A. (2024). Why and how is the power of Big Tech increasing in the policy process? The case of generative AI. Policy and Society.

  17. Chesterman, S. (2024). Good models borrow, great models steal: Intellectual property rights and generative AI, in Policy and Society, 2024, 00(00), 1-15.

  18. Narayan, D., Nagpal, M., McGuire, J., Schweitzer, S. & De Cremer, D. (2024). Fairness perceptions of artificial intelligence: A review and path forward. International Journal of Human-Computer Interaction. International Journal of Human-Computer Interaction, 40(1), 4-23.

  19. De Cremer, D., Narayanan, D., Nagpal, M., McGuire, J., & Schweitzer, S. (2024). AI fairness in action: A human-computer perspective on AI fairness in organizations and society. International Journal of Human–Computer Interaction, 40(1), 1–3.

  20. Schweitzer, S. & Cremer, D. (2023). When being managed by technology: does algorithmic management affect perceptions of workers’ creative capacities? Academy of Management Discoveries.

  21. Wong, C.M.L., & Wu, Y.Y. (2023). Limits to innoculating against the risk of fake news: a replication study in Singapore during COVID-19. Journal of Risk Research.
  22. Li, H., Zhang, R., Lee, YC., Kraut, R.E. & Mohr, D.C. (2023). Systematic review and meta-analysis of AI-based conversational agents for promoting mental health and well-being. npj Digital Medicine.

  23. Zhu, Z., Liu, S., & Zhang, R. (2023). Examining the persuasive effects of health communication in short videos: a systematic review. Journal of Medical Internet Research.

  24. Yue, Z., Zhang, R., & Xiao, J. (2023). Social media use, perceived social support, and well-being: Evidence from two waves of surveys peri- and post-COVID-19 lockdown. Journal of Social and Personal Relationships.

  25. Yue, Z., Lee, D., Xiao, J. & Zhang, R. (2023). Social media use, psychological well-being and physical health during lockdown. Information, Communication & Society, 26 (7), 1452-1469.

  26. Tan, S.Y, Taeihagh, A., Pande, D. (2023). Data sharing in disruptive technologies: Lessons from adoption of autonomous systems in Singapore. Policy Design and Practice, 6:1, 57-78.

  27. Taeihagh, A. (2023). Addressing policy challenges of disruptive technologies. Journal of Economic Policy Reform, 26:3, 239-249.

  28. Pande, D., and Taeihagh, A. (2023). Navigating the governance challenges of disruptive technologies: insights from regulation of autonomous systems in Singapore. Journal of Economic Policy Reform, 26:3, 298-319.

  29. Ng, L.H.X., Lim, A.C.M., Lim, A.X.W. and Taeihagh, A. (2023). Digital ethics for biometric applications in a smart city. Digital Government: Research and Practice.

  30. Zhang, Z., Chen, Y., He, B. and Zhang, Z. (2023). NIOT: A novel inference optimization of transformers on modern CPUs. IEEE Transactions on Parallel and Distributed Systems 2023, Volume 34, Issue 6)

  31. Neyazi, T.A., Tan, K.E., Nadaf, A. and Schroeder, R. (2023). The effect of information seeking behaviour on trust in AI in Asia: The moderating role of misinformation concern. New Media & Society.

  32. Wu, S. (2023). What motivates audiences to report fake news?: Uncovering a framework of factors that drive the community reporting of fake news on social media. Digital Journalism.

  33. Chew, H. E. & Chong, Y. K (2023). Understanding the nature of misinformation on publicly accessible messaging platforms: The case of ivermectin in Singapore. Volume chapter in Soon, C. (ed) Springer Book on Mobile Communication and Online Falsehoods: Trends, Impact and Practice.

  34. Wong, C.M.L. & Wu, Y. (2023). Limits to inoculating against the risk of fake news: a replication study in Singapore during COVID-19. Journal of Risk Research.

  35. Zhang, W., Wang R. & Liu, H. (2023). Moral expressions, sources, and frames: Examining COVID-19 vaccination posts by facebook public pages. Computers in Human Behavior.

  36. Jaidka, K., Fischer, S., Lelkes, Y. & Wang, Y. (2023). News nationalization in a digital age: An examination of how local protests are covered and curated online. Annals of the American Academy of Political and Social Science.

  37. Wang, Y. & Jaidka, K. (2023). Confirmation bias in seeking climate information: Employing relative search volume to predict partisan climate opinions. Social Science Computer Review.

  38. Kuru, O., Campbell, S.W., Bayer, J., Baruh, L. & Ling, R. (2023). Reconsidering misinformation in WhatsApp groups: Informational and social predictors of risk perceptions and corrections. International Journal of Communication.

  39. Ng, S. & Neyazi, T.A. (2023). Self and social corrections on instant messaging platforms. International Journal of Communication.

  40. Jaidka, K., Mukerjee, S. & Lelkes, Y. (2023). Silenced on social media: the gatekeeping functions of shadowbans in the American Twitterverse. Journal of Communication 73(2).

  41. Jaidka, K. (2023). Public Opinion Analytics with Social Media. Research Handbook on Social Media and Society.

  42. Li, L., Taeihagh, A. & Tan, S.Y. (2023). A scoping review of the impacts of COVID-19 physical distancing measures on vulnerable population groups. Nature Communications 14(599).

  43. Wu, Y., Kuru, O., Baruh, L., Çarkoğlu, A., Cemalcılar, Z. & Yıldırım, K. (2023). Partisan bias in COVID-19 conspiracy theories: News reliance and the moderating role of trust in health authorities. Health Communication.

  44. Wu, Y., Kuru, O., Kim, D.H. & Kim, S. (2023). COVID-19 news exposure and vaccinations: A moderated mediation of digital news literacy behavior and vaccine misperceptions. International Journal of Environmental Research and Public Health.

  45. Barsova, T., Cheong, Z.G., Mak, A.R., & Liu, J.C. (2022). Predicting psychological symptoms when Facebook's digital well-being features are used: Cross-sectional survey study. JMIR Formative Research, 6(8).

  46. Zhang, W., Mukerhee, S. & Qin, H. (2022). Topics and sentiments influence likes: A study of Facebook public pages' posts about COVID-19 vaccination. Cyberpsychology, Behavior, and Social Networking.

  47. Yue, Z., Zhang, R. & Xiao, J. (2022). Passive social media use and psychological well-being during the COVID-19 pandemic: The role of social comparison and emotion regulation. Computers in Human Behaviour.

  48. Zhu, Z., Zhang, R. & Qin, Y. (2022). Toxicity and prosocial behaviors in massively multiplayer online games: The role of mutual dependence, power, and passion. Journal of Computer-Mediated Communication 27(6).

  49. Neyazi, T.A., Ng, A.Y.K., Kuru, O. & Muhtadi, B. (2022). Who gets exposed to political misinformation in a hybrid media environment? The case of the 2019 Indonesian election. Social Media and Society.

  50. Mukerjee, S., Jaidka, K. & Lelkes, Y. (2022). The political landscape of the U.S. Twitterverse. Political Communications.

  51. Kuru, O., Campbell, S.W., Bayer, J.B., Baruh, L., & Ling, R. (2022). Encountering and correcting misinformation on WhatsApp: The roles of user motivations and trust in messaging group members. Disinformation in the Global South.

  52. Nguyen, V.-H., Sugiyama, K., Nakov, P. & Kan, M. (2022). FANG: Leveraging social context for fake news detection using graph representation. Communications of the ACM, Volume 65, Issue 4.

  53. Yue, A. (2022). From Digital Literacy to Digital Citizenship: Policies, Assessment Frameworks and Programs for Young People in the Asia Pacific. Book chapter in Youna Kim (ed). Media in Asia: Global, Digital, Gendered and Mobile. Routledge.

  54. Yue, A. & Beta, A.R. (2022). Digital citizenship in Asia: A critical introduction. International Communication Gazette 84(4).

  55. Pang, N., & Woo, Y.T. (2022). What drives changes in expressive social media use for generational cohorts? International Communication Gazette.

  56. Zhang, W., Chen, Z., Neoh, J. Y. & Chia, Y.-T. (2022). Rethinking civic education in the digital era: How media, school, and youth negotiate the meaning of citizenship. International Communication Gazette.

  57. Wu, Y., Kuru, O., Campbell, S.W., & Baruh, L. (2022). Explaining health misinformation belief through news, social, and alternative health media use: The moderating roles of need for cognition and faith in intuition. Health Communication.

  58. Jaidka, K. (2022). Cross-platform-and subgroup-differences in the well-being effects of Twitter, Instagram, and Facebook in the United States. Scientific Reports 12(1).

  59. Jaidka, K., Zhou, A., Lelkes, Y., Egelhofer, J. & Lecheler, S. (2022). Beyond anonymity: Network affordances, under deindividuation, improve social media discussion quality. Journal of Computer-Mediated Communication 27(1).

  60. Ng, L.H., & Taeihagh, A. (2021). How does fake news spread? Understanding pathways of disinformation spread through APIs. Policy & Internet.

  61. Chen, Y., Wen, Z., He, B., Chen, J. (2021). Efficient decomposition selection for multi-class classification. IEEE Transactions on Knowledge and Data Engineering.

  62. Tan, E. Y.-Q., Wee, R., Saw, Y.E., Heng, K., Chin, J., Tong, E., & Liu, J.C.J. (2021). Tracking private WhatsApp discourse about COVID-19: A longitudinal infodemiology study in Singapore. Journal of Medical Internet Research.

  63. Neyazi, T.A., Kalogeropoulos, A., & Nielsen, R.K. (2021). Misinformation concerns and online news participation among Internet users in India. Social Media and Society.

  64. Neyazi, T.A., & Schroeder, R. (2021). Was the 2019 Indian election won by digital media? Communication Review.

  65. Neyazi, T.A., & Muhtadi, B. (2021). Selective belief: How partisanship drives belief in misinformation. International Journal of Communication, Special Issue on Comparative Approaches to Mis/Disinformation.

  66. Subramaniam, M., Pang, N., Morehouse, S., & Asgarali-Hoffman, N. (2020). Examining vulnerability in youth digital information practices scholarship: What are we missing or exhausting? Children and Youth Services Review.

  67. Wong, C.M.L., & Jensen, O. (2020). The paradox of trust: perceived risk and public compliance during the COVID-19 pandemic in Singapore. Journal of Risk Research.

  68. Jaidka, K., Giorgi, S., Schwartz, H.A., Kern, M.L., Ungar, L.H., & Eichstaedt, J.C. (2020). Estimating geographic subjective well-being from Twitter: A comparison of dictionary and data-driven language methods. Proceedings of the National Academy of Sciences (PNAS).

  69. Quah, D. (2020). Singapore's policy response to COVID-19. In Mitigating the COVID Economic Crisis: ActFast and Do Whatever It Takes.

  70. Nekmat, E. & Yue, A. (2020). How to fight the COVID-19 infodemic: lessons from 3 Asian countries. World Economic Forum.

  71. Nekmat, E. (2020). Nudge effect of fact-check alerts: Source influence and media skepticism on sharing of news misinformation in social media. Social Media and Society.