Scott A. Hale

3.6k total citations · 2 hit papers
91 papers, 1.6k citations indexed

About

Scott A. Hale is a scholar working on Artificial Intelligence, Communication and Sociology and Political Science. According to data from OpenAlex, Scott A. Hale has authored 91 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Artificial Intelligence, 25 papers in Communication and 22 papers in Sociology and Political Science. Recurrent topics in Scott A. Hale's work include Social Media and Politics (18 papers), Hate Speech and Cyberbullying Detection (17 papers) and Misinformation and Its Impacts (13 papers). Scott A. Hale is often cited by papers focused on Social Media and Politics (18 papers), Hate Speech and Cyberbullying Detection (17 papers) and Misinformation and Its Impacts (13 papers). Scott A. Hale collaborates with scholars based in United Kingdom, United States and Iran. Scott A. Hale's co-authors include Helen Margetts, Mark Graham, Devin Gaffney, Taha Yasseri, Peter John, Bertie Vidgen, Brian E. Farkas, Dong Nguyen, Rebekah Tromble and Hannah Rose Kirk and has published in prestigious journals such as Proceedings of the National Academy of Sciences, PLoS ONE and Journal of Agricultural and Food Chemistry.

In The Last Decade

Scott A. Hale

85 papers receiving 1.5k citations

Hit Papers

The benefits, risks and bounds of personalizing the align... 2024 2026 2025 2024 2025 10 20 30 40

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Scott A. Hale United Kingdom 22 500 481 471 162 147 91 1.6k
Yan Qu United States 13 481 1.0× 170 0.4× 513 1.1× 172 1.1× 45 0.3× 34 1.0k
Jonathan J. H. Zhu Hong Kong 24 773 1.5× 175 0.4× 647 1.4× 399 2.5× 217 1.5× 96 2.1k
David Jurgens United States 23 327 0.7× 1.2k 2.5× 113 0.2× 122 0.8× 109 0.7× 90 1.9k
Ingo Feinerer Austria 12 249 0.5× 453 0.9× 81 0.2× 59 0.4× 46 0.3× 38 1.4k
Marc–André Kaufhold Germany 15 800 1.6× 391 0.8× 690 1.5× 83 0.5× 59 0.4× 58 1.5k
Philip Fei Wu United Kingdom 15 704 1.4× 178 0.4× 311 0.7× 52 0.3× 46 0.3× 40 1.1k
Miriam Fernández United Kingdom 21 375 0.8× 1.5k 3.1× 217 0.5× 116 0.7× 42 0.3× 106 2.3k
Brian Keegan United States 20 765 1.5× 511 1.1× 568 1.2× 273 1.7× 32 0.2× 69 1.8k
Yelena Mejova United States 15 500 1.0× 296 0.6× 209 0.4× 126 0.8× 16 0.1× 74 1.1k
Scott A. Golder United States 11 649 1.3× 746 1.6× 557 1.2× 577 3.6× 40 0.3× 14 2.7k

Countries citing papers authored by Scott A. Hale

Since Specialization
Citations

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

Fields of papers citing papers by Scott A. Hale

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Scott A. Hale. 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 Scott A. Hale. The network helps show where Scott A. Hale may publish in the future.

Co-authorship network of co-authors of Scott A. Hale

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

All Works

20 of 20 papers shown
1.
2.
Tappin, Ben M, et al.. (2025). Scaling language model size yields diminishing returns for single-message political persuasion. Proceedings of the National Academy of Sciences. 122(10). e2413443122–e2413443122. 4 indexed citations
3.
Hale, Scott A., et al.. (2024). SynDy: Syn thetic Dy namic Dataset Generation Framework for Misinformation Tasks. arXiv (Cornell University). 2801–2805.
4.
Hale, Scott A., et al.. (2024). Analyzing Misinformation Claims During the 2022 Brazilian General Election on WhatsApp, Twitter, and Kwai. International Journal of Public Opinion Research. 36(3). 2 indexed citations
5.
Kirk, Hannah Rose, et al.. (2024). Indian-BhED: A Dataset for Measuring India-Centric Biases in Large Language Models. 231–239. 4 indexed citations
6.
Hou, Rui, et al.. (2023). Query Rewriting for Effective Misinformation Discovery. 398–407. 1 indexed citations
7.
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
8.
Camargo, Chico Q., Peter John, Helen Margetts, & Scott A. Hale. (2021). Measuring the Volatility of the Political agenda in Public Opinion and News Media. Public Opinion Quarterly. 85(2). 493–516. 3 indexed citations
9.
Vidgen, Bertie, Scott A. Hale, Ella Guest, et al.. (2020). Detecting East Asian Prejudice on Social Media. 162–172. 52 indexed citations
10.
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
11.
Gong, Zhaoya, et al.. (2020). Measuring relative opinion from location-based social media: A case study of the 2016 U.S. presidential election. PLoS ONE. 15(5). e0233660–e0233660. 8 indexed citations
12.
Nguyen, Dong, et al.. (2019). Room to Glo: A Systematic Comparison of Semantic Change Detection Approaches with Word Embeddings. Oxford University Research Archive (ORA) (University of Oxford). 66–76. 29 indexed citations
13.
Camargo, Chico Q., Jonathan Bright, & Scott A. Hale. (2019). Diagnosing the performance of human mobility models at small spatial scales using volunteered geographical information. Royal Society Open Science. 6(11). 191034–191034. 3 indexed citations
14.
Nowak, Glen, Nathaniel Evans, Bartosz W. Wojdynski, et al.. (2019). Using immersive virtual reality to improve the beliefs and intentions of influenza vaccine avoidant 18-to-49-year-olds: Considerations, effects, and lessons learned. Vaccine. 38(5). 1225–1233. 53 indexed citations
15.
Hale, Scott A., et al.. (2017). The October 2014 United States Treasury bond flash crash and the contributory effect of mini flash crashes. PLoS ONE. 12(11). e0186688–e0186688. 5 indexed citations
16.
Kim, Suin, et al.. (2016). Understanding Editing Behaviors in Multilingual Wikipedia. PLoS ONE. 11(5). e0155305–e0155305. 14 indexed citations
17.
Farkas, Brian E., et al.. (2003). Numerical Simulation of Skipjack Tuna (Katsuwonas pelamis) Thawing. Journal of Aquatic Food Product Technology. 12(4). 93–112. 3 indexed citations
18.
Dodd, Tim H., et al.. (2000). An aroma-based method for determining the storage time of fishery products.. 1–11. 1 indexed citations
19.
Hale, Scott A., et al.. (1977). Association between Soluble Solids/Acid Content and Days from Full Bloom of Three Red Strains of ‘Delicious’ and ‘Law Rome’ Apple Fruits1. Journal of the American Society for Horticultural Science. 102(6). 733–738. 2 indexed citations
20.
Hale, Scott A., et al.. (1977). Association between Soluble Solids/Acid Content and Days from Full Bloom of ‘Golden Delicious’ Apple Fruits1. Journal of the American Society for Horticultural Science. 102(4). 429–431. 2 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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