Publications

This section contains publications published by ISI over the past several decades.

2024

The Peripatetic Hater: Predicting Movement Among Hate Subreddits

Daniel Hickey, Daniel MT Fessler, Kristina Lerman, Keith Burghardt
arXiv preprint arXiv:2405.17410,  2024

Large Language Models Reveal Information Operation Goals, Tactics, and Narrative Frames

Keith Burghardt, Kai Chen, Kristina Lerman
arXiv preprint arXiv:2405.03688,  2024

Machine Learning Insights Into Eating Disorder Twitter Communities

Hsien-Te Kao, Isabel Erickson, Minh Duc Hoang Chu, Zihao He, Kristina Lerman, Svitlana Volkova
Extended Abstracts of the CHI Conference on Human Factors in Computing …,  2024

Somer: Multi-view user representation learning for social media

Siyi Guo, Keith Burghardt, Valeria Pantè, Kristina Lerman
arXiv preprint arXiv:2405.05275,  2024

Evaluating resilience of urban lifelines against flooding in China using social media data

Jiale Qian, Yunyan Du, Fuyuan Liang, Jiawei Yi, Nan Wang, Wenna Tu, Sheng Huang, Tao Pei, Ting Ma, Keith Burghardt, Kristina Lerman
International Journal of Disaster Risk Reduction 106, 104453,  2024

Analyzing urban scaling laws in the United States over 115 years

Keith Burghardt, Johannes H Uhl, Kristina Lerman, Stefan Leyk
Environment and Planning B: Urban Analytics and City Science, 23998083241240099,  2024

Dynamics of Affective Polarization: From Consensus to Partisan Divides

Buddhika Nettasinghe, Allon G Percus, Kristina Lerman
arXiv preprint arXiv:2403.16940,  2024

Don't Blame the Data, Blame the Model: Understanding Noise and Bias When Learning from Subjective Annotations

Abhishek Anand, Negar Mokhberian, Prathyusha Naresh Kumar, Anweasha Saha, Zihao He, Ashwin Rao, Fred Morstatter, Kristina Lerman
arXiv preprint arXiv:2403.04085,  2024

How Susceptible are Large Language Models to Ideological Manipulation?

Kai Chen, Zihao He, Jun Yan, Taiwei Shi, Kristina Lerman
arXiv preprint arXiv:2402.11725,  2024

Whose Emotions and Moral Sentiments Do Language Models Reflect?

Zihao He, Siyi Guo, Ashwin Rao, Kristina Lerman
arXiv preprint arXiv:2402.11114,  2024

Reading between the tweets: Deciphering ideological stances of interconnected mixed-ideology communities

Zihao He, Ashwin Rao, Siyi Guo, Negar Mokhberian, Kristina Lerman
Findings of the Association for Computational Linguistics: EACL 2024, 1523-1536,  2024

Non-conservative diffusion and its application to social network analysis

Rumi Ghosh, Kristina Lerman, Tawan Surachawala, Konstatin Voevodski, Shanghua Teng
Journal of Complex Networks 12 (1), cnae006,  2024

Characterizing online eating disorder communities with large language models

Minh Duc Chu, Aryan Karnati, Zihao He, Kristina Lerman
arXiv preprint arXiv:2401.09647,  2024

STAR: A Simple Training-free Approach for Recommendations using Large Language Models

Dong-Ho Lee, Adam Kraft, Long Jin, Nikhil Mehta, Taibai Xu, Lichan Hong, Ed H Chi, Xinyang Yi
arXiv preprint arXiv:2410.16458,  2024

Harmful Suicide Content Detection

Kyumin Park, Myung Jae Baik, YeongJun Hwang, Yen Shin, HoJae Lee, Ruda Lee, Sang Min Lee, Je Young Hannah Sun, Ah Rah Lee, Si Yeun Yoon, Dong-ho Lee, Jihyung Moon, JinYeong Bak, Kyunghyun Cho, Jong-Woo Paik, Sungjoon Park
arXiv preprint arXiv:2407.13942,  2024

Evaluating Very Long-Term Conversational Memory of LLM Agents

Adyasha Maharana, Dong-Ho Lee, Sergey Tulyakov, Mohit Bansal, Francesco Barbieri, Yuwei Fang
ACL 2024,  2024

NewsEdits 2.0: Learning the Intentions Behind Updating News

Alexander Spangher, Kung-Hsiang Huang, Hyundong Cho, Jonathan May
arXiv preprint arXiv:2411.18811,  2024

NewsInterview: a Dataset and a Playground to Evaluate LLMs' Ground Gap via Informational Interviews

Michael Lu, Hyundong Justin Cho, Weiyan Shi, Jonathan May, Alexander Spangher
arXiv preprint arXiv:2411.13779,  2024

Personalized Help for Optimizing Low-Skilled Users' Strategy

Feng Gu, Wichayaporn Wongkamjan, Jonathan K Kummerfeld, Denis Peskoff, Jonathan May, Jordan Boyd-Graber
arXiv preprint arXiv:2411.09109,  2024

Explaining mixtures of sources in news articles

Alexander Spangher, James Youn, Matt DeButts, Nanyun Peng, Emilio Ferrara, Jonathan May
arXiv preprint arXiv:2411.05192,  2024