Dr. Z. (Zilin) Lin
Faculty of Social and Behavioural Sciences
CW : Political Communication & Journalism
Area of expertise: computational methods, digital journalism, responsible AI
Visiting address
- Nieuwe Achtergracht 166
Postal address
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Postbus 15791
1001 NG Amsterdam
Contact details
Social media
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Profile
Zilin Lin is a postdoctoral researcher at the Amsterdam School of Communication Research (ASCoR), affiliated with both the AI, Media and Democracy Lab and the University Research Priority Area Human(e) AI. With a background in Computational Communication Science, her research focuses on responsible AI and digital journalism. She completed her PhD as part of the NEWSFLOWS project at ASCoR, during which she studied digital news consumption using data donations and online field experiments.
Research keywords
- computational methods
- digital journalism
- responsible AI
Other links
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Teaching
- Domain Module Political Communication and Journalism (PC&J)
- Communication Research 1: The Basics (CR1)
- Master thesis supervision
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Publications
2025
Lin, Z., Trilling, D., Duncan, S., Welbers, K., & Vermeer, S. (2025). Surprise me! A longitudinal user study on serendipitous interface design in news recommender systems. In P. Brusilovsky , A. Felfernig , P. Lops , M. Polignano , G. Semeraro , & M. C. Willemsen (Eds.), Proceedings of the 12th Joint Workshop on Interfaces and Human Decision Making for Recommender Systems (IntRS 2025): co-located with 19th ACM Conference on Recommender Systems (RecSys 2025) : Prague, Czech Republic, September 22, 2025 Article 6 (CEUR Workshop Proceedings; Vol. 4027). CEUR-WS. https://ceur-ws.org/Vol-4027/paper6.pdf [details]- Lin, Z., Trogrlic, G., de Vreese, C., & Helberger, N. (2025). Dangerous criminals and beautiful prostitutes? Investigating harmful representations in Dutch language models. In ACM FAccT '25: Proceedings of the 2025 ACM Conference on Fairness, Accountability, and Transparency : June 23-26, 2025, Athens, Greece (pp. 1005-1014). Association for Computing Machinery. https://doi.org/10.1145/3715275.3732065 [details]
2024
- 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, 25(16), 2051–2071. https://doi.org/10.1080/1461670X.2024.2411334 [details]
- 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]
2023
- Lin, Z., Welbers, K., Vermeer, S., & Trilling, D. (2023). Beyond discrete genres: Mapping news items onto a multidimensional framework of genre cues. In Y.-R. Lin, M. Cha, & D. Quercia (Eds.), Proceedings of the Seventeenth International AAAI Conference on Web and Social Media: June 5–8, 2023, Limassol, Cyprus (pp. 542-553). AAAI Press. https://doi.org/10.1609/icwsm.v17i1.22167 [details]
2023
- 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.
Prize / grant
- Lin, Z. & Schwinges, A. (2026). DigiCom Lab Seed Funding.
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Ancillary activities
No ancillary activities
Lin, Z., Trilling, D., Duncan, S., Welbers, K., & Vermeer, S. (2025). Surprise me! A longitudinal user study on serendipitous interface design in news recommender systems. In P. Brusilovsky , A. Felfernig , P. Lops , M. Polignano , G. Semeraro , & M. C. Willemsen (Eds.), Proceedings of the 12th Joint Workshop on Interfaces and Human Decision Making for Recommender Systems (IntRS 2025): co-located with 19th ACM Conference on Recommender Systems (RecSys 2025) : Prague, Czech Republic, September 22, 2025 Article 6 (CEUR Workshop Proceedings; Vol. 4027). CEUR-WS.