Research publications
Work in progress
Bailo, F., Johns, A. Rizoiu, M.-A. (2022). Riding information crises: Coordinated behaviour among far-right Twitter users in Australia.
Yuan, L., & Rizoiu, M.-A. (2022). Detect Hate Speech in Unseen Domains using Multi-Task Learning: A Case Study of Political Public Figures. Retrieved from http://arxiv.org/abs/2208.10598
Ram, R., & Rizoiu, M.-A. (2022). You are what you browse: A robust framework for uncovering political ideology. Retrieved from http://arxiv.org/abs/2208.04097
Calderon, P., Ram, R., & Rizoiu, M.-A. (2022). Opinion Market Model: Stemming Far-Right Opinion Spread using Positive Interventions. Retrieved from http://arxiv.org/abs/2208.06620
Peer-reviewed publications
Kong, Q., Booth, E., Bailo, F., Johns, A., & Rizoiu, M.-A. (2022). Slipping to the Extreme: A Mixed Method to Explain How Extreme Opinions Infiltrate Online Discussions. In AAAI International Conference on Web and Social Media (Vol. 16, pp. 524–535). Retrieved from http://arxiv.org/abs/2109.00302
Largeron, C., Mardale, A., & Rizoiu, M.-A. (2021). Linking the Dynamics of User Stance to the Structure of Online Discussions. In Symposium on Intelligent Data Analysis (pp. 275–286). https://doi.org/10.1007/978-3-030-74251-5_22
Dawson, N., Molitorisz, S., Rizoiu, M.-A., & Fray, P. (2021). Layoffs, inequity and COVID-19: A longitudinal study of the journalism jobs crisis in Australia from 2012 to 2020. Journalism, 146488492199628. https://doi.org/10.1177/1464884921996286
Kong, Q., Rizoiu, M.-A., & Xie, L. (2020). Modeling Information Cascades with Self-exciting Processes via Generalized Epidemic Models. In Proceedings of the 13th International Conference on Web Search and Data Mining (pp. 286–294). New York, NY, USA: ACM. https://doi.org/10.1145/3336191.3371821
Kong, Q., Rizoiu, M. A., & Xie, L. (2020). Describing and Predicting Online Items with Reshare Cascades via Dual Mixture Self-exciting Processes. In International Conference on Information and Knowledge Management, Proceedings (pp. 645–654). New York, NY, USA: ACM. https://doi.org/10.1145/3340531.3411861
Kruger, A., Attard, M. & Beaman, L. (2021). Ready or not: A survey of Australian journalists covering mis and dis-information during the Coronavirus pandemic. Global Media Journal Australian edition, Vol 15, Issue 1, pp. 1-15.
Knight, S. (2020). Section introduction: Dialogic education and digital technology. In N. Mercer, R. Wegerif, & L. Major (Eds.), Handbook of Research on Dialogic Education (pp. 389–393). https://doi.org/10.4324/9780429441677
Ford, H. and Hutchinson, J. (2019) Newsbots that mediate journalist and audience relationships. Digital Journalism. https://doi.org/10.1080/21670811.2019.1626752
Ford, H. and Wajcman, J. (2017) ‘Anyone can edit’. Not everyone does. Wikipedia and the gender gap. Social Studies of Science Journal. 47(4), 511–527. https://doi.org/10.1177/0306312717692172
Knight, S., & Littleton, K. (2017). Socialising Epistemic Cognition. Educational Research Review. 21(1), 17-32. https://doi.org/10.1016/j.edurev.2017.02.003
Knight, S., Rienties, B., Littleton, K., Mitsui, M., Tempelaar, D. T., & Shah, C. (2017). The relationship of (perceived) epistemic cognition to interaction with resources on the internet. Computers in Human Behavior. 73, 507-518. http://dx.doi.org/10.1016/j.chb.2017.04.014
Knight, S., & Littleton, K. (2017). A discursive approach to the analysis of epistemic cognition. Learning, Culture and Social Interaction. 16, 55-69. https://doi.org/10.1016/j.lcsi.2017.11.003
Ford, H., & Graham, M. (2016). Provenance, power and place: Linked data and opaque digital geographies. Environment and Planning D: Society and Space. 34(6), 957-970.
