Welcome!

I am a Marie Curie Postdoctoral Research Fellow at the Vrije Universiteit Amsterdam, Department of Communication Science. Under a Horizon Europe Grant, I am working on the GAPREP project that investigates the relationship between group appeals and political representation.

Between 2021 and 2023 I was a Postdoctoral Research Fellow at University College Dublin, School of Politics and International Relations, working with WP6 of the Horizon2020 Observatory of Political Texts in European Democracies—A European Research Infrastructure (OPTED) Project. I recieved my PhD in Political Science from Johns Hopkins University in Summer 2021.

My research interests include comparative party politics, group appeals, political representation, intra-party candidate selection, and text-as-data, motivated by questions of the representative relationship between political parties and voters as a core aspect of modern democracies. Focusing on how political parties as collective bodies of representation go about shaping their relationship with society, I use computational text analysis methods to examine patterns of group-based appeals in parties’ election materials over time and across countries.

Latest Publications

van der Velden, M.A.C.G., and Dolinsky, A.O. (2024). Is Matilda Playing it? Gender in Computational Text Analysis Methods. Computational Communication Research, 6 (1): 1-26.

Dolinsky, A.O., Huber, L.M., Horne, W. (2024). “ManifestoVault V1.0: Annotated full-text general election manifestos at the natural-sentence level of three European countries 1970-2021”, https://doi.org/10.34894/VKQSPO, DataverseNL, V1.

Dolinsky A.O. (2023). “Parties’ group appeals across time, countries and communication channels—examining appeals to social groups via the Parties’ Group Appeals Dataset”, Party Politics, 29(6): 1130-1146.

Dolinsky A.O. (2022). “What Determines Parties’ Choice of Incumbent-Renomination Methods? the Case of the UK Labour Party, 1979–2019.” Representation, 58(4): 585-601.

The Parties’ Group Appeals Dataset (PGAD) is available here: https://doi.org/10.7910/DVN/NZQGST