Boukes, M., Kuipers, G., Lin, Z., & Zannettou, S. (2024). The Faces and Forms of Pandemic Humor: Exploring Covid-19 Memes with Visual Machine Learning. Journal of Quantitative Description: Digital Media, 4. https://doi.org/10.51685/jqd.2024.icwsm.6[details]
Trilling, D., Dubèl, R., Kiddle, R., Kroon, A. C., Lin, Z., Simon, M., Vermeer, S., Welbers, K., & Boukes, M. (2024). What is Popular Gets More Popular? Exploring Over-Time Dynamics in Article Readership Using Real-World Log Data. Journalism Studies. Advance online publication. https://doi.org/10.1080/1461670X.2024.2411334
Welbers, K., Loecherbach, F., Lin, Z., & Trilling, D. (2024). Anything you would like to share: Evaluating a data donation application in a survey and field study. Computational Communication Research, 6(2). https://doi.org/10.5117/CCR2024.2.5.WELB[details]
Lin, Z., Duncan, S., Trilling, D., Vermeer, S., Kiddle, R. T., & Welbers, K. (2023). Care to share? Investigating what drives news sharing with a customized news aggregator. Abstract from Etmaal van de Communicatiewetenschap, Enschede, Netherlands.
Trilling, D., Dubèl, R., Kroon, A., Lin, Z., Simon, M., Vermeer, S., Welbers, K., & Boukes, M. (2023). Over-time dynamics in article readership on Dutch newspaper websites. Abstract from Etmaal van de Communicatiewetenschap, Enschede, Netherlands.
2022
Boukes, M., Lin, Z., & Kuipers, G. M. M. (2022). Who is Featured in Pandemic Humor? Exploring Covid-19 Jokes and Memes with Unsupervised Visual Machine Learning. Paper presented at Etmaal van de Communicatiewetenschap.
Lin, Z., Welbers, K., Vermeer, S., & Trilling, D. (2022). Beyond discrete genres: Mapping news items onto a multidimensional framework of genre cues. Paper presented at the 72nd annual conference of the International Communication Association (ICA), 26-30 May 2022, Paris, France.
Lin, Z., Welbers, K., Vermeer, S., & Trilling, D. (2022). Genre cues in a continuum: A multi-dimensional framework for organizing news text. Paper presented at International and Interdisciplinary Conference on the Quantitative and Computational Analysis of Textual Data (COMPTEXT), Dublin, Ireland.
Lin, Z., Welbers, K., Vermeer, S., & Trilling, D. (2022). Who is watching what? Exploring news consumption on YouTube through data donation. Paper presented at European Communication Conference (ECREA), Aarhuus, Denmark.
Trilling, D., Kroon, A. C., Lin, Z., Simon, M., Vermeer, S., Welbers, K., & Boukes, M. (2022). Over-time dynamics in article readership: An analysis of log-data from regional newspaper websites. Paper presented at European Communication Conference (ECREA), Aarhuus, Denmark.
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