Kokil Jaidka
Postgraduate:
Main Appointment:
Joint Appointments:
Research Fields:
Research Areas:
Research Fields:
- CAM – Communication & Media Studies, Arts & Design, Music
Research Keywords:
- Social Media
- Social Networks
- Emotions
- Computational Lingustics
- Deep Learning
Current Appointments:
Brief Description of Research:
I call my lab the SMOL project: The Social Media, Online behavior and Language project. My research interest is in developing computational models of language for the measurement and understanding of computer-mediated communication.
I was one of 18 invited talks in the AAAI 2021 New Faculty Highlights program worldwide. My work has been covered by the Scientific American and other podcasts. I have published multiple op-eds in the Washington Post.
My students and I publish mainly in CS conferences with a computational social science track (EMNLP, ACL, ICWSM, WebSci, and the ilk) and in communication research journals (notably the Proceedings of the National Academy of Sciences, Nature Human Behaviour, Journal of Communication, Computers in Human Behavior, and Telematics and Informatics). We have recently started running and beta-testing field experiments with custom-built social media apps. Exciting times!
I'm looking for PhD students who can match my energy, ambition, and appetite for learning new things.
Total Number of Publications:
Five Representative Publications:
Jaidka, K., Ceolin, A., Singh, I., Chhaya, N., & Ungar, L. (2021, June). WikiTalkEdit: A Dataset for modeling Editors’ behaviors on Wikipedia. In Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (pp. 2191-2200).
Jaidka, K., Giorgi, S., Schwartz, H. A., Kern, M. L., Ungar, L. H., & Eichstaedt, J. C. (2020). Estimating geographic subjective well-being from twitter: a comparison of dictionary and data-driven language methods. Proceedings of the National Academy of Sciences.
Fischer, S., Jaidka, K., & Lelkes, Y. (2020). Auditing local news presence on Google News. Nature Human Behavior. https://doi.org/10.1038/s41562-020-00954-0
Jaidka, K., Zhou, A., & Lelkes, Y. (2019). Brevity is the soul of Twitter: The constraint affordance and political discussion. Journal of Communication, 69(4), 345-372.
Ahmed, S., Jaidka, K., & Cho, J. (2017). Tweeting India’s Nirbhaya protest: a study of emotional dynamics in an online social movement. Social Movement Studies, 16(4), 447-465.
My Research Videos:
Top 5 Publications:
- Lorem ipsum dolor sit amet
- Lorem ipsum dolor sit amet
- Lorem ipsum dolor sit amet
- Lorem ipsum dolor sit amet
- Lorem ipsum dolor sit amet
Journals Published:
- Lorem ipsum dolor sit amet
- Lorem ipsum dolor sit amet
- Lorem ipsum dolor sit amet
- Lorem ipsum dolor sit amet
- Lorem ipsum dolor sit amet
Appointments
Education
Research Areas
- Social Media
- Social Networks
- Emotions
- Computational Lingustics
- Deep Learning
Research Description
I call my lab the SMOL project: The Social Media, Online behavior and Language project. My research interest is in developing computational models of language for the measurement and understanding of computer-mediated communication.
I was one of 18 invited talks in the AAAI 2021 New Faculty Highlights program worldwide. My work has been covered by the Scientific American and other podcasts. I have published multiple op-eds in the Washington Post.
My students and I publish mainly in CS conferences with a computational social science track (EMNLP, ACL, ICWSM, WebSci, and the ilk) and in communication research journals (notably the Proceedings of the National Academy of Sciences, Nature Human Behaviour, Journal of Communication, Computers in Human Behavior, and Telematics and Informatics). We have recently started running and beta-testing field experiments with custom-built social media apps. Exciting times!
I'm looking for PhD students who can match my energy, ambition, and appetite for learning new things.
Research Videos
Selected Publications
Jaidka, K., Ceolin, A., Singh, I., Chhaya, N., & Ungar, L. (2021, June). WikiTalkEdit: A Dataset for modeling Editors’ behaviors on Wikipedia. In Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (pp. 2191-2200).
Jaidka, K., Giorgi, S., Schwartz, H. A., Kern, M. L., Ungar, L. H., & Eichstaedt, J. C. (2020). Estimating geographic subjective well-being from twitter: a comparison of dictionary and data-driven language methods. Proceedings of the National Academy of Sciences.
Fischer, S., Jaidka, K., & Lelkes, Y. (2020). Auditing local news presence on Google News. Nature Human Behavior. https://doi.org/10.1038/s41562-020-00954-0
Jaidka, K., Zhou, A., & Lelkes, Y. (2019). Brevity is the soul of Twitter: The constraint affordance and political discussion. Journal of Communication, 69(4), 345-372.
Ahmed, S., Jaidka, K., & Cho, J. (2017). Tweeting India’s Nirbhaya protest: a study of emotional dynamics in an online social movement. Social Movement Studies, 16(4), 447-465.