Kokil Jaidka

2.0k total citations
75 papers, 1.2k citations indexed

About

Kokil Jaidka is a scholar working on Artificial Intelligence, Communication and Sociology and Political Science. According to data from OpenAlex, Kokil Jaidka has authored 75 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 39 papers in Artificial Intelligence, 29 papers in Communication and 26 papers in Sociology and Political Science. Recurrent topics in Kokil Jaidka's work include Social Media and Politics (25 papers), Topic Modeling (20 papers) and Misinformation and Its Impacts (14 papers). Kokil Jaidka is often cited by papers focused on Social Media and Politics (25 papers), Topic Modeling (20 papers) and Misinformation and Its Impacts (14 papers). Kokil Jaidka collaborates with scholars based in Singapore, United States and Germany. Kokil Jaidka's co-authors include Lyle Ungar, Saifuddin Ahmed, Yphtach Lelkes, Jaeho Cho, Johannes C. Eichstaedt, Sharath Chandra Guntuku, Alvin Zhou, H. Andrew Schwartz, Jin‐Cheon Na and Christopher S. G. Khoo and has published in prestigious journals such as Proceedings of the National Academy of Sciences, SHILAP Revista de lepidopterología and Scientific Reports.

In The Last Decade

Kokil Jaidka

72 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kokil Jaidka Singapore 21 471 446 333 210 99 75 1.2k
Nicholas Proferes United States 12 258 0.5× 604 1.4× 303 0.9× 122 0.6× 148 1.5× 26 1.2k
Antonio A. Arechar United States 13 304 0.6× 1.1k 2.4× 370 1.1× 100 0.5× 115 1.2× 26 1.5k
Marc Ziegele Germany 23 499 1.1× 986 2.2× 843 2.5× 174 0.8× 57 0.6× 51 1.5k
Brooke Foucault Welles United States 17 236 0.5× 650 1.5× 768 2.3× 114 0.5× 82 0.8× 46 1.6k
K. Hazel Kwon United States 23 316 0.7× 932 2.1× 718 2.2× 115 0.5× 141 1.4× 70 1.4k
María D. Molina United States 15 311 0.7× 645 1.4× 242 0.7× 105 0.5× 127 1.3× 23 979
Steve Rathje United States 17 327 0.7× 889 2.0× 442 1.3× 99 0.5× 40 0.4× 27 1.2k
Joseph Seering United States 16 525 1.1× 582 1.3× 403 1.2× 162 0.8× 133 1.3× 31 1.2k
Chih‐Hui Lai United States 15 165 0.4× 845 1.9× 574 1.7× 120 0.6× 152 1.5× 39 1.4k
Ronald E. Robertson United States 16 323 0.7× 775 1.7× 423 1.3× 63 0.3× 184 1.9× 31 1.2k

Countries citing papers authored by Kokil Jaidka

Since Specialization
Citations

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

Fields of papers citing papers by Kokil Jaidka

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kokil Jaidka

This figure shows the co-authorship network connecting the top 25 collaborators of Kokil Jaidka. A scholar is included among the top collaborators of Kokil Jaidka 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 Kokil Jaidka. Kokil Jaidka 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.
Jaidka, Kokil, et al.. (2025). PHAnToM: Persona-Based Prompting Has an Effect on Theory-of-Mind Reasoning in Large Language Models. Proceedings of the International AAAI Conference on Web and Social Media. 19. 2124–2142. 1 indexed citations
2.
3.
Jaidka, Kokil, Tsuhan Chen, Simon Chesterman, et al.. (2024). Misinformation, Disinformation, and Generative AI: Implications for Perception and Policy. Digital Government Research and Practice. 6(1). 1–15. 7 indexed citations
4.
Pfeffer, Jürgen, Daniel Matter, Kokil Jaidka, et al.. (2023). Just Another Day on Twitter: A Complete 24 Hours of Twitter Data. Proceedings of the International AAAI Conference on Web and Social Media. 17. 1073–1081. 14 indexed citations
5.
Jaidka, Kokil, et al.. (2023). Silenced on social media: the gatekeeping functions of shadowbans in the American Twitterverse. Journal of Communication. 73(2). 163–178. 22 indexed citations
6.
Jaidka, Kokil, et al.. (2022). Offer a Different Perspective: Modeling the Belief Alignment of Arguments in Multi-party Debates. 11939–11950. 1 indexed citations
7.
Jaidka, Kokil, et al.. (2022). The Political Landscape of the U.S. Twitterverse. Political Communication. 39(5). 565–588. 20 indexed citations
8.
Ahmed, Saifuddin, et al.. (2021). Social media use and anti-immigrant attitudes: evidence from a survey and automated linguistic analysis of Facebook posts. Asian Journal of Communication. 31(4). 276–298. 8 indexed citations
9.
Bakker, Bert N., et al.. (2020). Questionable and open research practices: attitudes and perceptions among quantitative communication researchers. UvA-DARE (University of Amsterdam). 6 indexed citations
10.
Ahmed, Saifuddin, Jaeho Cho, Kokil Jaidka, Johannes C. Eichstaedt, & Lyle Ungar. (2020). The Internet and Participation Inequality: A Multilevel Examination of 108 Countries. International journal of communication. 14. 22. 6 indexed citations
11.
Jaidka, Kokil, et al.. (2020). Auditing local news presence on Google News. Nature Human Behaviour. 4(12). 1236–1244. 32 indexed citations
12.
Jaidka, Kokil, Salvatore Giorgi, H. Andrew Schwartz, et al.. (2020). Estimating geographic subjective well-being from Twitter: A comparison of dictionary and data-driven language methods. Proceedings of the National Academy of Sciences. 117(19). 10165–10171. 150 indexed citations
13.
Jaidka, Kokil, et al.. (2020). A report of the CL-Aff OffMyChest Shared Task: Modeling Supportiveness and Disclosure.. National Conference on Artificial Intelligence. 118–129. 7 indexed citations
14.
Giorgi, Salvatore, Kokil Jaidka, & Johannes C. Eichstaedt. (2019). Data and Resources for Estimating geographic subjective well-being from Twitter: a comparison of dictionary and data-driven language methods. OSF Preprints (OSF Preprints). 1 indexed citations
15.
Jaidka, Kokil, Alvin Zhou, & Yphtach Lelkes. (2019). Brevity is the Soul of Twitter: The Constraint Affordance and Political Discussion. Journal of Communication. 69(4). 345–372. 76 indexed citations
16.
Jaidka, Kokil, et al.. (2019). The CL-Aff Happiness Shared Task: Results and Key Insights.. National Conference on Artificial Intelligence. 39–49. 6 indexed citations
17.
Chhaya, Niyati, Kokil Jaidka, & Lyle Ungar. (2018). The AAAI-18 Workshop on Affective Content Analysis.. National Conference on Artificial Intelligence. 2–7. 6 indexed citations
18.
Jaidka, Kokil, Michihiro Yasunaga, Muthu Kumar Chandrasekaran, Dragomir Radev, & Min‐Yen Kan. (2018). The CL-SciSumm Shared Task 2018: Results and Key Insights. arXiv (Cornell University). 74–83. 16 indexed citations
19.
Jaidka, Kokil, et al.. (2017). Domain Adaptation from User-level Facebook Models to County-level Twitter Predictions. International Joint Conference on Natural Language Processing. 1. 764–773. 11 indexed citations
20.
Jaidka, Kokil, Christopher S. G. Khoo, & Jin‐Cheon Na. (2013). Deconstructing Human Literature Reviews -- A Framework for Multi-Document Summarization. 125–135. 16 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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