Votta, F., Kruschinski, S., Fuglsang Hove, M., Helberger, N., Dobber, T., & de Vreese, C. (2026). Who Do Parties Target? Worldwide Evidence on Political Microtargeting. In A. Burns, G. Enli, A. O. Larsson, J. Y. Robinson, T. Bosch, & K. Kasianenko (Eds.), The Routledge Companion to Social Media and Politics (2nd ed., pp. 215-242). Routledge. https://doi.org/10.4324/9781003359524-17[details]
Who Do Parties Target 26 07 03 12 28 38(embargo until 03 January 2027)
de León, E., Boeschoten, L., Votta, F., Mulder, J., Struminskaya, B., Oberski, D., Araujo, T., & de Vreese, C. (2026). How Much Data Should I Request? Balancing Richness and Compliance in Digital Trace Data Donations. Social Science Computer Review. Advance online publication. https://doi.org/10.1177/08944393261435088
de León, E., Votta, F., Jongerius, S., Mulder, J., Struminskaya, B., Araujo, T., & de Vreese, C. (2026). Can tailored recruitment messaging increase digital trace data donation compliance? International Journal of Social Research Methodology, 29(4), 503-519. https://doi.org/10.1080/13645579.2025.2568497[details]
Dobber, T., Kruikemeier, S., Votta, F., Helberger, N., & Goodman, E. P. (2025). The effect of traffic light veracity labels on perceptions of political advertising source and message credibility on social media. Journal of Information Technology & Politics, 22(1), 82-97. https://doi.org/10.1080/19331681.2023.2224316[details]
Krieter, P., de León, E., Votta, F., & Roşca, A. (2025). Classifying TikToks Locally: Political Content Detection with Phi-4 on Android. In S. Sorce, P. Elagroudy, & M. Khamis (Eds.), Proceedings of MUM 2025: The 24th International Conference on Mobile and Ubiquitous Multimedia : December 1st-4th(pp. 436-438). The Association for Computing Machinery. https://doi.org/10.1145/3771882.3773943[details]
Papaevangelou, C., & Votta, F. (2025). Trading nuance for scale? Platform observability and content governance under the DSA. Internet Policy Review, 14(3). https://doi.org/10.14763/2025.3.2037[details]
Votta, F., Dobber, T., Guinaudeau, B., Helberger, N., & de Vreese, C. (2025). The cost of reach: Testing the role of Ad delivery algorithms in online political campaigns. Political Communication, 42(3), 476-508 . https://doi.org/10.1080/10584609.2024.2439317[details]
Minihold, S., & Votta, F. (2024). Accepting exclusion: Examining the (un)intended consequences of data-driven campaigns. Media and Communication, 12, Article 8685. https://doi.org/10.17645/mac.8685[details]
Votta, F., Kruschinski, S., Hove, M., Helberger, N., Dobber, T., & de Vreese, C. (2024). Who Does(n't) Target You? Mapping the Worldwide Usage of Online Political Microtargeting. Journal of Quantitative Description: Digital Media, 4. https://doi.org/10.51685/jqd.2024.010[details]
Votta, F. A., Noroozian, A., Dobber, T., Helberger, N., & de Vreese, C. (2023). Going Micro to Go Negative? Targeting Toxicity using Facebook and Instagram Ads. Computational Communication Research, 5(1). https://doi.org/10.5117/CCR2023.1.001.VOTT[details]
Banai, A., Votta, F., & Seitz, R. (2022). The Polls—Trends: Trends in Public Opinion toward Immigration among EU Member States. Public Opinion Quarterly, 86(1), 191-215. https://doi.org/10.1093/poq/nfac001[details]
Helberger, N., de Vreese, C., Bouchè, G., Ferrari Braun, A., van Drunen, M., Kruschinski, S., Mattis, N., Morosoli, S., Naudts, L., Papaevangelou, C., Seipp, T., Votta, F., & Weikmann, T. (2026). Generative AI and Democracy: Study on advantages and risks of the use of generative artificial intelligence in public debate and democratic processes . Steering Committee on Democracy (CDDEM). https://rm.coe.int/report-generative-ai-and-democracy/48802c3a76[details]
Votta, F. (participant) (7-5-2025). DSA-Stakeholder workshop on Systemic Risks, Brussels. Workshop by the European Commission (participating in a conference, workshop, ...).
2024
Votta, F. A. (2024). A Dance with Data: Unraveling the supply and demand side dynamics of political microtargeting. [Thesis, fully internal, Universiteit van Amsterdam]. [details]
de León, E., Wan, J., Votta, F., van der Haak, D., Oberski, D., Taylor, L., Araujo, T., van Weert, J., Bex, F., van Dijck, J., Gürses, S., Buijzen, M., Prins, C., Helberger, N. & de Vreese, C. (21-5-2024). Public Values in the Algorithmic Society Longitudinal Panel Survey. Universiteit van Amsterdam. https://doi.org/10.21942/uva.25860655.v1
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