Peng, Y., Lock, I., Salah, A.A. (2024). Automated Visual Analysis for the Study of Social Media Effects: Opportunities, Approaches, and Challenges, Communication Methods and Measures, vol.18, no.2, pp.163-185. DOI
Veerbeek, J., van Es, K. F., & Müller, E. (2022). Public Broadcasting and Topic Diversity in The Netherlands: Mentions of Public Broadcasters’ Programming in Newspapers as Indicators of Pluralism. Javnost. https://doi.org/10.1080/13183222.2022.2067956
Nguyen, D., & Hekman, E. (2022). A ‘New Arms Race’? Framing China and the U.S.A. in A.I. News Reporting: A Comparative Analysis of the Washington Post and South China Morning Post. Global Media and China, 7(1), 58-77. https://doi.org/10.1177/20594364221078626
Timar, Y., N. Karslioglu, H. Kaya, A.A. Salah, Feature selection and multimodal fusion for estimating emotions evoked by movie clips. ACM Int. Conf. on Multimedia Retrieval (ICMR), Yokohama, 2018.
Waterschoot, C., van den Hemel, E., and van den Bosch, A. 2022. Detecting Minority Arguments for Mutual Understanding: A Moderation Tool for the Online Climate Change Debate. In Proceedings of the 29th International Conference on Computational Linguistics, pages 6715–6725, Gyeongju, Republic of Korea. International Committee on Computational Linguistics.
Waterschoot, C., van den Bosch, A., and van den Hemel, E. Calculating Argument Diversity in Online Threads. In 3rd Conference on Language, Data and Knowledge (LDK 2021). Schloss Dagstuhl-Leibniz-Zentrum für Informatik, 2021.
Hekman, E., Nguyen, D., Stalenhoef, M., & vaan Turnhout, K. (2022) Towards a Pattern Library for Algorithmic Affordances. CEUR Workshop Proceedings, volume 3124, pp. 24 - 33
