Bertie Vidgen

1.7k total citations · 2 hit papers
31 papers, 851 citations indexed

About

Bertie Vidgen is a scholar working on Artificial Intelligence, Communication and Sociology and Political Science. According to data from OpenAlex, Bertie Vidgen has authored 31 papers receiving a total of 851 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Artificial Intelligence, 9 papers in Communication and 9 papers in Sociology and Political Science. Recurrent topics in Bertie Vidgen's work include Hate Speech and Cyberbullying Detection (19 papers), Social Media and Politics (8 papers) and Misinformation and Its Impacts (5 papers). Bertie Vidgen is often cited by papers focused on Hate Speech and Cyberbullying Detection (19 papers), Social Media and Politics (8 papers) and Misinformation and Its Impacts (5 papers). Bertie Vidgen collaborates with scholars based in United Kingdom, United States and Iran. Bertie Vidgen's co-authors include Leon Derczynski, Taha Yasseri, Scott A. Hale, Helen Margetts, Paul Röttger, Rebekah Tromble, Hannah Rose Kirk, Dong Nguyen, Alex H. S. Harris and Ella Guest and has published in prestigious journals such as PLoS ONE, Nature Machine Intelligence and Policy Sciences.

In The Last Decade

Bertie Vidgen

31 papers receiving 804 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

The benefits, risks and bounds of personalizing the alignment of large language models to individuals

2024 47 citations Hannah Rose Kirk, Bertie Vidgen et al. profile →
Why human–AI relationships need socioaffective alignment

2025 14 citations Hannah Rose Kirk, Bertie Vidgen et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Bertie Vidgen United Kingdom	15	652	196	169	155	100	31	851
Debora Nozza Italy	14	906 1.4×	118 0.6×	127 0.8×	139 0.9×	111 1.1×	38	1.1k
Nithum Thain United States	10	975 1.5×	168 0.9×	189 1.1×	223 1.4×	104 1.0×	20	1.1k
Eshwar Chandrasekharan United States	11	585 0.9×	394 2.0×	434 2.6×	167 1.1×	115 1.1×	25	879
Dallas Card United States	13	766 1.2×	225 1.1×	156 0.9×	130 0.8×	39 0.4×	24	1.1k
Valerio Basile Italy	22	1.8k 2.8×	205 1.0×	279 1.7×	316 2.0×	219 2.2×	76	2.0k
Sérgio Nunes Portugal	9	713 1.1×	109 0.6×	177 1.0×	212 1.4×	112 1.1×	40	849
Michael Wiegand Germany	12	1.5k 2.3×	153 0.8×	255 1.5×	326 2.1×	176 1.8×	65	1.6k
Thomas Davidson United States	6	1.4k 2.1×	197 1.0×	308 1.8×	332 2.1×	184 1.8×	13	1.5k
Hind Almerekhi Qatar	11	411 0.6×	140 0.7×	122 0.7×	167 1.1×	88 0.9×	23	571
Saadia Gabriel United States	9	536 0.8×	92 0.5×	78 0.5×	87 0.6×	62 0.6×	18	681

Countries citing papers authored by Bertie Vidgen

Since Specialization

Citations

This map shows the geographic impact of Bertie Vidgen'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 Bertie Vidgen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bertie Vidgen more than expected).

Fields of papers citing papers by Bertie Vidgen

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Bertie Vidgen. 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 Bertie Vidgen. The network helps show where Bertie Vidgen may publish in the future.

Co-authorship network of co-authors of Bertie Vidgen

This figure shows the co-authorship network connecting the top 25 collaborators of Bertie Vidgen. A scholar is included among the top collaborators of Bertie Vidgen 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 Bertie Vidgen. Bertie Vidgen is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Saad-Falcon, Jon, et al.. (2025). LMUNIT: Fine-grained Evaluation with Natural Language Unit Tests. 3303–3324. 1 indexed citations

Röttger, Paul, Hannah Rose Kirk, Bertie Vidgen, et al.. (2024). XSTest: A Test Suite for Identifying Exaggerated Safety Behaviours in Large Language Models. BOA (University of Milano-Bicocca). 5377–5400. 10 indexed citations

Röttger, Paul, et al.. (2024). SafetyPrompts: a Systematic Review of Open Datasets for Evaluating and Improving Large Language Model Safety. arXiv (Cornell University). 2 indexed citations

Bartolo, Max, Andrew Bean, Scott A. Hale, et al.. (2024). The PRISM Alignment Dataset: What Participatory, Representative and Individualised Human Feedback Reveals About the Subjective and Multicultural Alignment of Large Language Models. 105236–105344. 1 indexed citations

Kirk, Hannah Rose, Wenjie Yin, Bertie Vidgen, & Paul Röttger. (2023). SemEval-2023 Task 10: Explainable Detection of Online Sexism. 2193–2210. 21 indexed citations

Vidgen, Bertie, et al.. (2023). Improving the Detection of Multilingual Online Attacks with Rich Social Media Data from Singapore. 12705–12721. 2 indexed citations

Kirk, Hannah Rose, Andrew Bean, Bertie Vidgen, Paul Röttger, & Scott A. Hale. (2023). The Past, Present and Better Future of Feedback Learning in Large Language Models for Subjective Human Preferences and Values. 2409–2430. 7 indexed citations

Vidgen, Bertie, et al.. (2023). Tracking Abuse on Twitter Against Football Players in the 2021 – 22 Premier League Season. SSRN Electronic Journal. 2 indexed citations

Kirk, Hannah Rose, Abeba Birhane, Bertie Vidgen, & Leon Derczynski. (2022). Handling and Presenting Harmful Text in NLP Research. 497–510. 16 indexed citations

10.

Kirk, Hannah Rose, Bertie Vidgen, Paul Röttger, Tristan Thrush, & Scott A. Hale. (2022). Hatemoji: A Test Suite and Adversarially-Generated Dataset for Benchmarking and Detecting Emoji-Based Hate. Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies. 1352–1368. 24 indexed citations

11.

Vidgen, Bertie, et al.. (2022). Tackling racial bias in automated online hate detection: Towards fair and accurate detection of hateful users with geometric deep learning. EPJ Data Science. 11(1). 9 indexed citations

12.

Margetts, Helen, et al.. (2022). An actor-based approach to understanding radical right viral tweets in the UK. Journal of Policing Intelligence and Counter Terrorism. 18(2). 139–157. 6 indexed citations

13.

Vidgen, Bertie, Dong Nguyen, Helen Margetts, Patrícia Rossini, & Rebekah Tromble. (2021). Introducing CAD: the Contextual Abuse Dataset. ENLIGHTEN (Jurnal Bimbingan dan Konseling Islam). 2289–2303. 46 indexed citations

14.

Mathias, Lambert, Aida Mostafazadeh Davani, Douwe Kiela, et al.. (2021). Findings of the WOAH 5 Shared Task on Fine Grained Hateful Memes Detection. Edinburgh Research Explorer. 201–206. 17 indexed citations

15.

Vidgen, Bertie, et al.. (2021). Deciphering Implicit Hate: Evaluating Automated Detection Algorithms for Multimodal Hate. Zenodo (CERN European Organization for Nuclear Research). 2 indexed citations

16.

Vidgen, Bertie, Scott A. Hale, Ella Guest, et al.. (2020). Detecting East Asian Prejudice on Social Media. 162–172. 52 indexed citations

17.

Vidgen, Bertie, Scott A. Hale, Sam Staton, et al.. (2020). Recalibrating classifiers for interpretable abusive content detection. Edinburgh Research Explorer. 132–138. 5 indexed citations

18.

Vidgen, Bertie & Leon Derczynski. (2020). Directions in abusive language training data, a systematic review: Garbage in, garbage out. PLoS ONE. 15(12). e0243300–e0243300. 169 indexed citations

19.

Crilley, Rhys, Marie Gillespie, Bertie Vidgen, & Alistair Willis. (2020). Understanding RT’s Audiences: Exposure Not Endorsement for Twitter Followers of Russian State-Sponsored Media. The International Journal of Press/Politics. 27(1). 220–242. 26 indexed citations

20.

Vidgen, Bertie & Taha Yasseri. (2016). P-Values: Misunderstood and Misused. Frontiers in Physics. 4. 66 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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