Thomas Frissen (T.J.M.M.)

Zeid, N., Frissen, T., & Scherr, S. (2024). جمال_خاشقجي# #JamalKhashoggi: Unraveling multilingual Twitter sentiment dynamics in a longitudinal comparative analysis of tweets in Arabic and English. New Media & Society, 26(9), 5529-5553. https://doi.org/10.1177/14614448221137016

Courtois, C., & Frissen, T. (2023). Computer Vision and Internet Meme Genealogy: An Evaluation of Image Feature Matching as a Technique for Pattern Detection. Communication Methods and Measures, 17(1), 17-39. https://doi.org/10.1080/19312458.2022.2122423

Frounfelker, R. L., Frissen, T., Miconi, D., Lawson, J., Brennan, R. T., d'Haenens, L., & Rousseau, C. (2021). Transnational evaluation of the Sympathy for Violent Radicalization Scale: Measuring population attitudes toward violent radicalization in two countries. Transcultural Psychiatry, 58(5), 669-682. Article 13634615211000550. https://doi.org/10.1177/13634615211000550

De Coninck, D., Frissen, T., Matthijs, K., d'Haenens, L., Lits, G., Champagne-Poirier, O., Carignan, M.-E., David, M. D., Pignard-Cheynel, N., Salerno, S., & Généreux, M. (2021). Beliefs in Conspiracy Theories and Misinformation About COVID-19: Comparative Perspectives on the Role of Anxiety, Depression and Exposure to and Trust in Information Sources. Frontiers in Psychology, 12, Article 646394. https://doi.org/10.3389/fpsyg.2021.646394

Frissen, T. (2021). Internet, the great radicalizer? Exploring relationships between seeking for online extremist materials and cognitive radicalization in young adults. Computers in Human Behavior, 114, Article 106549. https://doi.org/10.1016/j.chb.2020.106549

Frissen, T., De Coninck, D., Matthys, K., & d'Haenens, L. (2020). Longitudinal Evidence of How Media Audiences Differ in Public Health Perceptions and Behaviors During a Global Pandemic. Frontiers in Public Health, 8, Article 583408. https://doi.org/10.3389/fpubh.2020.583408

Scherr, S., Arendt, F., Frissen, T., & Oramas, J. M. (2020). Detecting Intentional Self-Harm on Instagram: Development, Testing, and Validation of an Automatic Image-Recognition Algorithm to Discover Cutting-Related Posts. Social Science Computer Review, 38(6), 673-685. https://doi.org/10.1177/0894439319836389