Miss Xiangyu Wang

Miss Xiangyu Wang

Lecturer
Business School
School of Information Systems and Technology Management

Xiangyu Wang is a lecturer at the School of Information Systems and Technology Management, UNSW Business School, Sydney. She holds a PhD in Informatics from the University of Iowa. Her research focuses on data science in social media, including both special-purpose social media (such as online health communities) and general-purpose social media (such as Twitter). Her publications have appeared in the Journal of the Association for Information Science and Technology (JASIST) and ACM Transactions on Management Information Systems. Her work have been recognized as top-cited articles in JASIST 2023 and 2024. 

  • Journal articles | 2024
    Wang X; Zhao K; Amato MS; Stanton CA; Shuter J; Graham AL, 2024, 'The Role of Seed Users in Nurturing an Online Health Community for Smoking Cessation Among People With HIV/AIDS', Annals of Behavioral Medicine, 58, pp. 122 - 130, http://dx.doi.org/10.1093/abm/kaad063
  • Conference Papers | 2023
    Wang X; M.S. S; Tim Y; Pan S; Fei J, 2023, 'Designing for Climate Risk Response Readiness System: A Design Science Research Study', in ACIS 2023 PROCEEDINGS, Wellington, presented at Australasian Conference on Information Systems, Wellington, 05 December 2023 - 08 December 2023, https://aisel.aisnet.org/acis2023/20/

Selected Publications:

  • Wang, X., Zhang, M., Fan, W., & Zhao, K. (2022). Understanding the Spread of COVID-19 Misinformation on Social Media--The Effects of Topics and a Political Leader’s Nudge. Journal of the Association for Information Science and Technology. 73 (5) pp. 726-737. DOI: 10.1002/asi.24576.

  • Wang, X., High, A., Wang, X., & Zhao, K. (2021). Predicting Users' Continued Engagement in Online Health Communities from the Quantity and Quality of Received Support. Journal of the Association for Information Science and Technology. 72 (6) pp. 710-722. DOI: 10.1002/asi.24436.

  • Wang, X., Zhao, K., Zhou, X., & Street, W. N. (2020). Predicting User Posting Activities in Online Health Communities with Deep Learning. ACM Transactions on Management Information Systems. 11 (3) pp. Article 12. DOI: 10.1145/3383780.