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Consumer Health Informatics

  1. Wang, X. & Lee, W.-J. (2020). Negative emotions shape the diffusion of cancer tweets: toward an integrated social network–text analytics approach. Internet Research. 
  2. Wang, X., Shi, J., Kong, H. (2020). Online health information seeking: A review and meta-analysis. Health Communication. ​​
  3. Chu, T.H.*, Su, Y.*, Kong, H.*, Shi, J., Wang, X. (2020). Online social support for intimate partner violence victims in China: Quantitative and automatic content analysis. Violence Against Women. (*Student co-author)​​
  4. Shi, J., Wang, X., Peng, T. Q., & Chen, L. (2019). Cancer-prevention messages on Chinese social media: A content analysis grounded in the Extended Parallel Process Model and Attribution Theory Model and Attribution Theory. International Journal of Communication, 13, 18.
  5. Wang, X., Chen, L., Shi, J., & Peng, T-Q. (2019). What makes cancer information viral on social media? Computers in Human Behavior, 93, 149-156.​​
  6. Chen, L.*, Wang, X.*, & Peng, T-Q. (2018). Nature and Diffusion of Gynecologic Cancer–Related Misinformation on Social Media: Analysis of Tweets. Journal of Medical Internet Research, 20, e11515. (*contributed equally).
  7. Shi J., Wang, X., Peng, T-Q., & Chen, L. (2017). Understanding interactions in virtual HIV communities: A social network analysis approach. AIDS Care, 29, 239-243. 
  8. Wang, X., Shi, J., Chen, L., & Peng, T-Q. (2016). An examination of users’ influence in online HIV/AIDS communities. Cyberpsychology, Behavior, and Social networking, 19, 314-320.​

Communicaiton

  1. Wang, X. & Lee, K. M. (2020). The paradox of technology innovativeness and risk perceptions - A profile of Asian smartphone users. Telematics and Informatics, 51, 101415.
  2. Wang, X. & Song, Y. (2020). Viral Misinformation and Echo Chambers: The Diffusion of Rumors About Genetically Modified Organisms on Social Media. Internet Research, 30, 1547-1564​
  3. Dienlin, T., Johannes, N., Bowman, N. D., Masur, P. K., Engesser, S., … Wang, X., … de Vreese, C. (2020). An agenda for open science in Communication. Journal of Communication. ​​

New Technologies and User Experience

  1. Wang, X., Goh, D. H.-L., Lim, E.-P. (2020). Understanding continuance intention toward crowdsourcing games: A longitudinal investigation. International Journal of Human-Computer Interaction, 36, 1168-1177.​​​
  2. ​Wang, X., Goh, D. H.-L. (2020). Components of game experience: An automatic text analysis of online reviews. Entertainment Computing. 33, 100338.​
  3. Luqiu, L. W. & Wang, X. (2018). From observers to change Makers: How Hong Kong’s news media are adapting to Artificial Intelligence. In: Lee, R. & Huang, Y. (ed)s. Hong Kong Digital Media Landscape.
  4. Wang, X., Goh, D. H.-L. (2017). Video games acceptance: A meta-analysis of the extended technology acceptance model. Cyberpsychology, Behavior, and Social networking, 20, 662-671.​​​
  5. Wang, X., Goh, D. H.-L., Lim, E.-P., Vu, A. W.-L., & Alton C. Y.-K. (2017). Examining the effectiveness of gamification in human computation. International Journal of Human-Computer Interaction, 33, 813-821.
  6. Wang, X., Goh, D. H.-L., Lim, E.-P., & Vu, A. W. L. (2016). Understanding the determinants of human computation game acceptance - The effects of aesthetic experience and output quality. Online Information Review, 40, 481-496.​
  7. Wang X., Goh, D. H.-L., Lim, E.-P., & Vu, A. W.-L. (2015). Aesthetic experience and acceptance of human computation games. In: Allen R., Hunter J., Zeng M. (eds). Digital Libraries: Providing Quality Information. Lecture Notes in Computer Science, Vol 9469 (pp 264-273). Springer, Cham. (ICADL 2015, 22% acceptance rate).
  8. Wang, X. (2015). Determinants of human computation game acceptance. In Proceedings of the 2015 Annual Symposium on Computer-Human Interaction in Play (pp. 423-426). ACM. (CHI PLAY 2015, 30% acceptance rate).
  9. Wang X., Goh, D. H.-L., Lim, E.-P., & Vu, A. W.-L. (2014). Player acceptance of human computation games: An aesthetic perspective. In: Tuamsuk K., Jatowt A., Rasmussen E. (eds). The Emergence of Digital Libraries – Research and Practices. Lecture Notes in Computer Science, Vol 8839 (pp 233-242). Springer, Cham. (ICADL 2014, 23.5% acceptance rate).​​

Conferences (selected)

  1. Wang, X. & Song, Y. (2020, June). Mapping the landscape of computational social science research: A combination of citation network analysis and text analytics. Paper will be presented at the Sunbelt Conference of the International Network for Social Network Analysis (Sunbelt 2020), Paris.
  2. Wang, X. & Su, Y. (2020, June). Discovering the interdisciplinary scientific landscape of computational social science: A bibliometric analysis. Paper will be presented at the Sunbelt Conference of the International Network for Social Network Analysis (Sunbelt 2020), Paris.
  3. Wang, X., Shi, J., & Kong, H. (2020, June). Online health information seeking: A review and meta-analysis. Paper will be presented at the 70th Annual International Communication Association Conference (ICA 2020), Gold Coast, Australia
  4. Wang, X., Lee, W-J., & Kong, H. (2020, June). Negative emotions, themes, and user influence: Driving factors of the cancer tweets diffusion. Paper will be presented at the 70th Annual International Communication Association Conference (ICA 2020), Gold Coast, Australia
  5. Wang, X., Lee, W-J., & Kong, H. (2019, June). Valance-based homophily: A network analysis of message characteristics in cancer talks on social media. Paper presented at the XXXIX Sunbelt Conference of the International Network for Social Network Analysis (Sunbelt 2019), Montreal, Canada.
  6. Wang, X., Chen, L., & Peng, T-Q. (2019, June). What Makes Cancer Information Viral on Social Media? Paper presented at the 69th Annual International Communication Association Conference (ICA 2019), Washington, D.C.
  7. Wang, X. & Peng, T-Q. (2017, June). Why online information goes viral? Role of personal influence, homophily, and network structure. Paper presented at the XXXVII Sunbelt Conference of the International Network for Social Network Analysis (Sunbelt 2017), Beijing, China.
  8. Wang, X. (2017, May). Components of game experience: An automatic text analysis of video game online reviews. Paper presented at the 67th Annual International Communication Association Conference (ICA 2017), San Diego, CA.
  9. Wang, X. & Goh, D. H.-L. (2017, May). Understanding the acceptance of video games: A meta-analytic review. Paper presented at the 67th Annual International Communication Association Conference (ICA 2017), San Diego, CA.
  10. Wang, X. & Goh, D. H.-L. (2015, May). Why do people play human computation games? An aesthetic perspective. Paper presented at the 65th Annual International Communication Association Conference (ICA 2015), San Juan, Puerto Rico.
  11. Wang, X., Haristya, S., Razikin, K., & Ho, S. S. (2014, August). Role of information processing sources on knowledge of climate change: A Singapore perspective. Paper presented at the Association for Education in Journalism and Mass Communication (AEJMC 2014), Montréal.