Agrima Seth

Agrima Seth

Ph.D. student, School of Information

Posts by Collection

portfolio

publications

News Dissemination on Twitter and Conventional News Channels

Published in International Conference on Enterprise Information Systems , 2017

Recommended citation: Seth A., Nayak S., Mothe J. and Jadhay S. (2017). News Dissemination on Twitter and Conventional News Channels In Proceedings of the 19th International Conference on Enterprise Information Systems - Volume 1: ICEIS, ISBN 978-989-758-247-9, pages 43-52. DOI: 10.5220/0006264100430052.

Closed Ranks: The Discursive Value of Military Support for Indian Politicians on Social Media

Published in International Conference on Information & Communication Technologies and Development, 2022, 2022

Recommended citation: Seth, A., De, S., Arya, A., Wilkinson, S., Singh, S., & Pal, J. (2022, June). Closed Ranks: The Discursive Value of Military Support for Indian Politicians on Social Media. In Proceedings of the 2022 International Conference on Information and Communication Technologies and Development (pp. 1-11).

Cultural Differences in Friendship Network Behaviors: A Snapchat Case Study

Published in Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems, 2023

Video

Recommended citation: Seth, A., Cao, J., Shi, X., Dotsch, R., Liu, Y., & Bos, M. W. (2023, April). Cultural Differences in Friendship Network Behaviors: A Snapchat Case Study. In Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems (pp. 1-14).

Your spouse needs professional help: Determining the Contextual Appropriateness of Messages through Modeling Social Relationships

Published in Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

Slides

Recommended citation: Jurgens, D.*, Seth, A.*, Sargent, J., Aghighi, A., & Geraci, M. (2023, July). Your spouse needs professional help: Determining the Contextual Appropriateness of Messages through Modeling Social Relationships. In Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) (pp. 10994-11013).

Fifty Shades of Bias: Normative Ratings of Gender Bias in GPT Generated English Text

Published in Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Slides

Recommended citation: Rishav Hada*, Agrima Seth*, Harshita Diddee, and Kalika Bali. 2023. “Fifty Shades of Bias”: Normative Ratings of Gender Bias in GPT Generated English Text. In Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, pages 1862–1876, Singapore. Association for Computational Linguistics.

Akal Badi ya Bias: An Exploratory Study of Gender Bias in Hindi Language Technology

Published in FAccT24: Proceedings of the 2024 ACM Conference on Fairness, Accountability, and Transparency, 2024

Recommended citation: Hada, Rishav, Safiya Husain, Varun Gumma, Harshita Diddee, Aditya Yadavalli, Agrima Seth, Nidhi Kulkarni et al. "Akal Badi ya Bias: An Exploratory Study of Gender Bias in Hindi Language Technology." In The 2024 ACM Conference on Fairness, Accountability, and Transparency, pp. 1926-1939. 2024. https://dl.acm.org/doi/abs/10.1145/3630106.3659017

talks

Anomaly Detection using Machine Learning for Data Quality Monitoring in the CMS Experiment

Published:

This talk is about our project that aimed at applying recent progress in Machine Learning techniques (unsupervised machine learning method - autoencoder) to the automation of quality assessment. In our project, we concentrated on analyzing the occupancy of the drift tube chambers. The aim was to check large volumes of data in real-time and improve the ability to detect unexpected features.

Your spouse needs professional help: Determining the contextual appropriateness of messages through modeling social relationships

Published:

In this talk, I present the paper published at ACL 2023, in which we introduce a new approach to identifying inappropriate communication by explicitly modeling the social relationships between individuals. We introduce a new dataset of contextually situated judgments of appropriateness and show that large language models can readily incorporate relationship information to identify appropriateness in a given context accurately. LINK

teaching

Information Analysis Project

Undergraduate course, University of Michigan, School of Information, 2020

Performed the duties as a graduate student instructor for the course. Helped students navigate professional communication (presentations and written reports) with industry clients for their capstone project. Link

Models of Social Information Processing

Undergraduate course, University of Michigan, School of Information, 2020

Performed the duties as a graduate student instructor for the course. Led discussion sections and contributed to the creation of assignment sets. Helped students develop an understanding of technical structures of social networks and basics of game theory. Link

Information Analysis Capstone I

Undergraduate course, University of Michigan, School of Information, 2021

Performed the duties as a graduate student instructor for the course. Helped students navigate professional communication (presentations and written reports) with industry clients for their capstone project. Link

Network Analysis

Graduate course, University of Michigan, School of Information, 2021

Performed the duties as a graduate student instructor for the course. Helped students develop programming skills to manipulate and analyze real network data using Python. The course includes topics such as network evolution, link prediction, network centrality, models of information diffusion on networks, and community structure. Link