Tom Dobber

1.4k total citations
28 papers, 736 citations indexed

About

Tom Dobber is a scholar working on Communication, Sociology and Political Science and Artificial Intelligence. According to data from OpenAlex, Tom Dobber has authored 28 papers receiving a total of 736 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Communication, 17 papers in Sociology and Political Science and 14 papers in Artificial Intelligence. Recurrent topics in Tom Dobber's work include Social Media and Politics (17 papers), Hate Speech and Cyberbullying Detection (14 papers) and Misinformation and Its Impacts (8 papers). Tom Dobber is often cited by papers focused on Social Media and Politics (17 papers), Hate Speech and Cyberbullying Detection (14 papers) and Misinformation and Its Impacts (8 papers). Tom Dobber collaborates with scholars based in Netherlands, Germany and United States. Tom Dobber's co-authors include Claes H. de Vreese, Natali Helberger, Damian Trilling, R. Ó Fathaigh, Frederik Zuiderveen Borgesius, Sanne Kruikemeier, Brahim Zarouali, Nadia Metoui, Guy De Pauw and Michael Hameleers and has published in prestigious journals such as SHILAP Revista de lepidopterología, Computers in Human Behavior and New Media & Society.

In The Last Decade

Tom Dobber

24 papers receiving 694 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Tom Dobber Netherlands	13	408	343	228	119	55	28	736
Alvin Zhou United States	13	380 0.9×	388 1.1×	139 0.6×	61 0.5×	28 0.5×	37	696
Michael Koliska United States	11	298 0.7×	325 0.9×	114 0.5×	40 0.3×	32 0.6×	30	610
Ashley Muddiman United States	16	637 1.6×	759 2.2×	361 1.6×	142 1.2×	97 1.8×	33	1.1k
Aleksandra Urman Switzerland	14	439 1.1×	345 1.0×	179 0.8×	77 0.6×	11 0.2×	50	697
Anna Sophie Kümpel Germany	16	740 1.8×	763 2.2×	172 0.8×	72 0.6×	107 1.9×	38	1.1k
Samuel Woolley United States	9	483 1.2×	361 1.1×	217 1.0×	87 0.7×	26 0.5×	30	715
Johan Farkas Denmark	12	538 1.3×	469 1.4×	309 1.4×	135 1.1×	37 0.7×	27	865
Nili Steinfeld Israel	12	314 0.8×	228 0.7×	92 0.4×	95 0.8×	30 0.5×	39	562
Justin Brown Australia	7	227 0.6×	163 0.5×	48 0.2×	75 0.6×	50 0.9×	22	571
Christer Clerwall Sweden	12	344 0.8×	491 1.4×	123 0.5×	23 0.2×	53 1.0×	18	696

Countries citing papers authored by Tom Dobber

Since Specialization

Citations

This map shows the geographic impact of Tom Dobber's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Tom Dobber with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tom Dobber more than expected).

Fields of papers citing papers by Tom Dobber

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Tom Dobber. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Tom Dobber. The network helps show where Tom Dobber may publish in the future.

Co-authorship network of co-authors of Tom Dobber

This figure shows the co-authorship network connecting the top 25 collaborators of Tom Dobber. A scholar is included among the top collaborators of Tom Dobber based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Tom Dobber. Tom Dobber is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Kruschinski, Simon, et al.. (2024). Who Does(n't) Target You?. SHILAP Revista de lepidopterología. 4. 10 indexed citations

Kruschinski, Simon, et al.. (2024). Who Does (n't) Target You? Mapping the Worldwide Usage of Online Political Microtargeting. 3 indexed citations

Dobber, Tom, et al.. (2024). The Cost of Reach: Testing the Role of Ad Delivery Algorithms in Online Political Campaigns. Political Communication. 42(3). 476–508.

Zarouali, Brahim, et al.. (2023). Personality and susceptibility to political microtargeting: A comparison between a machine-learning and self-report approach. Computers in Human Behavior. 151. 108024–108024. 4 indexed citations

Dobber, Tom, Sanne Kruikemeier, Natali Helberger, & Ellen Goodman. (2023). Shielding citizens? Understanding the impact of political advertisement transparency information. New Media & Society. 26(11). 6715–6735. 15 indexed citations

Dobber, Tom, et al.. (2023). 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. 10 indexed citations

Hameleers, Michael, Toni G.L.A. van der Meer, & Tom Dobber. (2023). Distorting the truth versus blatant lies: The effects of different degrees of deception in domestic and foreign political deepfakes. Computers in Human Behavior. 152. 108096–108096. 13 indexed citations

Kruikemeier, Sanne, Susan Vermeer, Nadia Metoui, Tom Dobber, & Brahim Zarouali. (2022). (Tar)getting you: The use of online political targeted messages on Facebook. Big Data & Society. 9(2). 16 indexed citations

Dobber, Tom & Claes H. de Vreese. (2022). Beyond manifestos: Exploring how political campaigns use online advertisements to communicate policy information and pledges. Big Data & Society. 9(1). 8 indexed citations

10.

Kefford, Glenn, Katharine Dommett, Jessica Baldwin-Philippi, et al.. (2022). Data-driven campaigning and democratic disruption: Evidence from six advanced democracies. Party Politics. 29(3). 448–462. 36 indexed citations

11.

Dobber, Tom, et al.. (2021). News from the ad archive: how journalists use the Facebook Ad Library to hold online advertising accountable. Information Communication & Society. 26(7). 1381–1400. 9 indexed citations

12.

Fathaigh, R. Ó, et al.. (2021). Microtargeted propaganda by foreign actors: An interdisciplinary exploration. Maastricht Journal of European and Comparative Law. 28(6). 856–877. 7 indexed citations

13.

Dobber, Tom. (2020). Data & Democracy : Political microtargeting: A threat to electoral integrity?.

14.

Dobber, Tom, Nadia Metoui, Damian Trilling, Natali Helberger, & Claes H. de Vreese. (2020). Do (Microtargeted) Deepfakes Have Real Effects on Political Attitudes?. The International Journal of Press/Politics. 26(1). 69–91. 123 indexed citations

15.

Dobber, Tom, Nadia Metoui, Damian Trilling, Natali Helberger, & Claes H. de Vreese. (2020). Do (Microtargeted) Deepfakes Have Real Effects on Political Attitudes?. Sage Journals Data. 9 indexed citations

16.

Borgesius, Frederik Zuiderveen, Tom Dobber, Sanne Kruikemeier, et al.. (2019). Online politieke microtargeting: Een zegen of een vloek voor de democratie?. Nederlandsch juristenblad. 94(10). 662–669.

17.

Bastian, Mariella, Mykola Makhortykh, & Tom Dobber. (2019). News personalization for peace: how algorithmic recommendations can impact conflict coverage. International Journal of Conflict Management. 30(3). 309–328. 17 indexed citations

18.

Dobber, Tom, R. Ó Fathaigh, & Frederik Zuiderveen Borgesius. (2019). The regulation of online political micro-targeting in Europe. Internet Policy Review. 8(4). 45 indexed citations

19.

Borgesius, Frederik Zuiderveen, Judith Möller, Sanne Kruikemeier, et al.. (2018). Online Political Microtargeting: Promises and Threats for Democracy. Utrecht Law Review. 14(1). 82–82. 161 indexed citations

20.

Dobber, Tom, Damian Trilling, Natali Helberger, & Claes H. de Vreese. (2018). Spiraling downward: The reciprocal relation between attitude toward political behavioral targeting and privacy concerns. New Media & Society. 21(6). 1212–1231. 26 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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