Journals/Research Articles


  1. 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.

  2. 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.

  3. 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.

  4. 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).

  5. Abbas, F. & Taeihagh, A. (2024). Unmasking Deepfakes: A Systematic Review of Deepfake Detection and Generation Techniques using Artificial Intelligence. Expert Systems with Applications.

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

  7. 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.

  8. 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.

  9. 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.

  10. Chesterman, S. (2024). Good Models Borrow, Great Models Steal: Intellectual Property Rights and Generative AI, in Policy and Society, 2024, 00(00), 1-15.

  11. 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.

  12. 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.

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

  14. 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.
  15. 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.

  16. 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.

  17. 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.

  18. 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.

  19. 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.

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

  21. 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.

  22. 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.

  23. 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)

  24. 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.

  25. 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.

  26. 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.

  27. 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.

  28. 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.

  29. 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.

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

  31. 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.

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

  33. 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).

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

  35. 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).

  36. 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.

  37. 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.

  38. 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).

  39. 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.

  40. 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.

  41. 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).

  42. 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.

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

  44. 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.

  45. 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.

  46. 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.

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

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

  49. 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.

  50. 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.

  51. 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).

  52. 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).

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

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

  55. 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.

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

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

  58. 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.

  59. 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.

  60. 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.

  61. 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).

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

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

  64. 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.


Conferences/Workshops


  1. Sun, Y., Huang, Q., Wang, Y., & Tung, A.K.H. (2024). DiversiNews: Enriching News Consumption with Relevant Yet Diverse News Articles Retrieval. Proceedings of the 50th International Conference on Very Large Databases (VLDB) Endowment.

  2. Abbas, F., & Taeihagh, A. (2024). Semantic Facial Features and Expression Manipulation Using Multi-Level IC-DGAN Framework. International Joint Conference on Neural Networks (IJCNN).

  3. Furniturewala, S., Jaidka, K. & Sharma, Y. (2024). Impact of Decoding Methods on Human Alignment of Conversational LLMs. Proceedings of the 14th Workshop on Computational Approaches to Subjectivity, Sentiment & Social Media Analysis (WASSA). Association for Computational Linguistics (ACL).

  4. Yan, Z., Lee, M.L., Hsu, W., & Bartram-Shaw, D.R. (2024). Modeling Complex Interactions in Long Documents for Aspect-Based Sentiment Analysis. Proceedings of the 14th Workshop on Computational Approaches to Subjectivity, Sentiment, & Social Media Analysis (WASSA). Association for Computational Linguistics (ACL).

  5. Xu, J., Fei, H., Pan, L., Liu, Q., Lee, M.L. & Hsu, W. (2024). Faithful Logical Reasoning via Symbolic Chain-of-Thought. Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (ACL).

  6. Fei, H., Wu, S., Ji, W., Zhang, H., Zhang, M., Lee, M.L. & Hsu, W. (2024). Video-of-Thought: Step-by-Step Video Reasoning from Perception to Cognition. Proceedings of the 41st International Conference on Machine Learning (ICML, Oral).

  7. Soto-Sanfiel, M.T. & Saha, S. (2024). Predicting Deepfake Enjoyment: A Machine Learning Perspective. International Conference on Human-Computer Interaction.

  8. Peng, Q., Yan, Z.H., Hsu, W. & Lee, M.L. (2024). SNIFFER: Multimodal Large Language Model for Explainable Out-of-Context Misinformation Detection. IEEE/CVF Computer Vision and Pattern Recognition Conference (CVPR).

  9. Lee, S.J., Hsu, W. & Lee, M.L. (2024). An End-to-End Vision Transformer Approach for Image Copy Detection. CVPR Workshop on Multimodal Content Moderation (MMCM).

  10. Lee, S.J., Hsu, W. & Lee, M.L. (2024). Combatting Disinformation involving AI-Generated Images through Frequency-guided Channel and Spatial Attention. IJCAI Workshop on Trustworthy AI.

  11. Lu, X.Y., Pan, L.M., Liu, Q., Nakov, P., & Kan, M.Y. (2023). SCITAB: A Challenging Benchmark for Compositional Reasoning and Claim Verification on Scientific Tables. The 2023 Conference on Empirical Methods in Natural Language Processing (EMNLP).

  12. Pan, L., Lu, X., Kan, M.Y., & Nakov, P. (2023). QACheck: A Demonstration System for Question-Guided Multi-hop Fact-Checking. The 2023 Conference on Empirical Methods in Natural Language Processing (EMNLP).

  13. Pan, Y.K., Pan, L.M., Chen, W.H., Nakov, P., Kan, M.Y. & Wang, W.Y. (2023). On the Risk of Misinformation Pollution with Large Language Models. Findings of the Conference on Empirical Methods in Natural Language Processing (Findings of EMNLP).

  14. Yeo, G., & Jaidka, K. (2023). The PEACE-Reviews dataset: Modeling Cognitive Appraisals in Emotion Text Analysis. Findings of the Empirical Methods and Natural Language Processing Conference (Findings of EMNLP).

  15. Liu, X., & Jaidka, K. (2023). I am PsyAM: Modeling Happiness with Cognitive Appraisal Dimensions. Findings of the Association for Computational Linguistics (Findings of ACL).

  16. Pan, L.M., Chen W.H., Kan, M.Y. & Wang, W.Y. (2023). Attacking Open-domain Question Answering by Injecting Misinformation. 13th International Joint Conference on Natural Language Processing and the 3rd Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics (IJCNLP-AACL).

  17. Pan, L.M., Zhang, Y.X. & Kan, M.Y. (2023). Investigating Zero- and Few-shot Generalization in Fact Verification. 13th International Joint Conference on Natural Language Processing and the 3rd Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics (IJCNLP-AACL).

  18. Xu, D., Fan, S.J., & Kankanhalli, M. (2023). Combating Misinformation in the Era of Generative AI Models. 31st ACM International Conference on Multimedia (ACM MM).

  19. Saha, S., Perera, R., Seneviratne, S., Malepathirana, T., Rasnayaka, S., Geethika, D., Sim, T., & Halgamuge, S. (2023). Undercover Deepfakes: Detecting Fake Segments in Videos. IEEE/CVF International Conference on Computer Vision (ICCV), pp. 415-425.

  20. Ng, L.H.X., Lim, A. & Taeihagh A. (2023). Comparative analysis of governance of biometrics in AI systems. 6th International Conference on Public Policy (ICPP6).

  21. Pan, L., Wu, X., Lu, X., Luu, A.T., Wang, W., Kan, M. & Nakov, P. (2023). Fact-Checking Complex Claims with Program-Guided Reasoning. Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (ACL).

  22. Pfeffer, J., Matter, D., Jaidka, K., Varol, O., Mashhadi, A., Lasser, L., Assenmacher, D., Wu, S., Yang, D., Brantner, C., Romero, D.M., Otterbacher, J., Schwemmer, C., Joseph, K., Garcia, D., & Morstatter, F. (2023). Just another day on Twitter: A complete 24 hours of Twitter data. Proceedings of the 17th International AAAI Conference on Web and Social Media.

  23. Gollapalli, S.D., Du, M. & Ng, S.K. (2023). Identifying checkworthy CURE claims on Twitter. Proceedings of the Web Conference.

  24. Kamath, P., Li, Z., Gupta, C., Jaidka, K., Nanayakkara, S. & Wyse L. (2023). Evaluating Descriptive Quality of AI-Generated Audio Using Image-Schemas. Proceedings of the 28th International Conference on Intelligent User Interfaces.

  25. Zhang, Z., He, B. & Zhang, Z. (2023). Practical edge kernels for integer-only vision transformers under post-training quantization. Proceedings of Machine Learning and Systems (MLSys).

  26. Zhang, B, and Sim, T. (2022). Localizing Fake Segments in Speech. 26th IEEE International Conference on Pattern Recognition (ICPR), pp. 3224-3230.

  27. Zhang, Z., He, B. & Zhang, Z. (2022). HARL: Hierarchical Adaptive Reinforcement Learning Based Auto Scheduler for Neural Networks. Proceedings of the 51st International Conference on Parallel Processing.

  28. Zhu, Z., Mitchell, A. & Zhang, R. (2022). Developing Intentional Relationships with Technologies: An Exploratory Study of Players’ Experiences with Built-in Interventions in Games. Proceedings of Designing Interactive Systems Conference (DIS).

  29. Sia, S., Jaidka, K., Ahuja, H., Chhaya, N. & Duh, K. (2022). Offer a different perspective: Modeling the belief alignment of arguments in multi-party debates. Proceedings of the Conference on Empirical Methods in Natural Language Processing (ENMLP).

  30. Gollapalli, S.D., Du, M., & Ng, S.K. (2022). Identifying check-worthiness of tweets using CheckthaT5. Proceedings of the Working Notes of CLEF (Conference and Labs of the Evaluation Forum).

  31. Wu, S. (2022). What motivates audiences to report fake news?: Towards a framework of factors that drive the community reporting of fake news on social media. 105th Annual Conference of the Association for Education in Journalism and Mass Communication (AEJMC 2022).

  32. Cui, J., Zhang, T., Jaidka, K., Pang, D., Sherman, G., Jakhetiya,V., Ungar, L.H. & Guntuku, S.C. (2022). Social media reveals urban-rural differences in stress across China. Proceedings of the 16th International AAAI Conference on Web and Social Media.

  33. Jaidka, K. (2022). Developing a multilabel corpus for the quality assessment of online political talk. Proceedings of the 13th Language Resources and Evaluation Conference (LREC).

  34. Barik, A.M., Hsu, W., & Lee, M.L. (2022). Incorporating external knowledge for evidence-based fact verification. Companion Proceedings of the Web Conference (2nd International Workshop on Knowledge Graphs for Online Discourse Analysis).

  35. Yang, Y., Li, Y., Panagiotis Karras, P. & Tung, A.K.H. (2021). Context-aware outstanding fact mining from knowledge graphs. Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery & Data Mining (SIGKDD).

  36. Yang, Y., Li, Y. & Tung, A.K.H. (2021). NewsLink: Empowering intuitive news search with knowledge graphs. Proceedings of the 37th International Conference on Data Engineering (ICDE).

  37. Tan, S., Joty, S., Baxter, K., Taeihagh, A., Bennett, G.A., & Kan, M. (2021). Reliability testing for natural language processing systems. Proceedings of the Joint Conference of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (ACL-IJCNLP).

  38. Pan, L., Chen, W., Xiong, W., Kan, M., Wang, W. (2021). Zero-shot Fact Verification by Claim Generation. Proceedings of the Joint Conference of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing.

  39. Lee, S.J., Li, T., Hsu, W., & Lee, M.L. (2021). Repurpose image identification for fake news detection. Proceedings of the 32nd International Conference on Database and Expert Systems Applications (DEXA).

  40. Panchendrarajan, R., Hsu, W., & Lee, M.L. (2021). Emotion-aware event summarization in microblogs. Companion Proceedings of the Web Conference (9th International Workshop on Natural Language Processing for Social Media).

  41. Samarinas, C., Hsu, W., & Lee, M.L. (2021). Improving evidence retrieval for automated explainable fact-checking. Proceedings of the Annual Conference of the North American Chapter of the Association for Computational Linguistics (NAACL).

  42. Zhang, R., Bazarova,N. & Reddy, M. (2021). Distress disclosure across social media platforms during the COVID-19 pandemic: Untangling the effects of platforms, affordances, and audiences. Proceedings of the CHI Conference on Human Factors in Computing Systems.

  43. Samarinas, C., Hsu, W., & Lee, M.L. (2020). Latent retrieval for large-scale fact-checking and question answering with NLI training. Proceedings of the IEEE 32nd International Conference on Tools with Artificial Intelligence (ICTAI).

  44. Li, T., Hsu W., Lee, M.L., & Chieu, H.L. (2020). Probabilistic decision modeling in social networks. Proceedings of the IEEE 32nd International Conference on Tools with Artificial Intelligence (ICTAI).

  45. von der Weth, Christian, Ashraf, A., Fan, S. & Kankanhalli, M. (2020). Helping Users Tackle Algorithmic Threats on Social Media: A Multimedia Research Agenda. Proceedings of the 28th ACM International Conference on Multimedia.

  46. von der Weth, Christian, Vachery, J. & Kankanhalli, M. (2020). Nudging Users to Slow Down the Spread of Fake News in Social Media. Proceedings of the IEEE International Conference on Multimedia & Expo Workshops (ICMEW).

  47. Jensen, O. (2020). Communicating COVID-19 risk in Singapore. Resilient Cities Network Speaker Series.