Publications
This section contains publications published by ISI over the past several decades.
2024
"Can You Play Anything Else?" Understanding Play Style Flexibility in League of Legends
Emily Chen, Alexander Bisberg, Emilio Ferrara
2024 IEEE Conference on Games (CoG), 629-632, 2024
Coordinated Activity Modulates the Behavior and Emotions of Organic Users: A Case Study on Tweets about the Gaza Conflict
Priyanka Dey, Luca Luceri, Emilio Ferrara
WWW '24: Companion Proceedings of the ACM Web Conference 2024, 2024
Moral Values Underpinning COVID-19 Online Communication Patterns
Julie Jiang, Luca Luceri, Emilio Ferrara
arXiv preprint arXiv:2401.08789, 2024
Attraction to Politically Extreme Users on Social Media
Federico Zimmerman, David Bailey, Goran Muric, Emilio Ferrara, Jonas Schöne, Robb Willer, Eran Halperin, Joaquin Navajas, James Gross, Amit Goldenberg
PNAS Nexus 3 (10), pgae395, 2024
Tracing the Unseen: Uncovering Human Trafficking Patterns in Job Listings
Siyi Zhou, Jiankun Peng, Emilio Ferrara
Proceedings of the ICWSM Workshops, 2024
Fighting for Democracy: The Attempted Coup in Peru through the lens of TikTok
Gabriela Pinto, Keith Burghardt, Kristina Lerman, Emilio Ferrara
Proceedings of the ICWSM Workshops, 2024
Hidden in Plain Sight: Exploring the Intersections of Mental Health, Eating Disorders, and Content Moderation on TikTok
Charles Bickham, Kia Kazemi-Nia, Luca Luceri, Kristina Lerman, Emilio Ferrara
Proceedings of the ICWSM Workshops, 2024
Tracking the Newsworthiness of Public Documents
Alexander Spangher, Emilio Ferrara, Ben Welsh, Nanyun Peng, Serdar Tumgoren, Jonathan May
2024 ACL, 2024
GenAI Against Humanity: Nefarious Applications of Generative Artificial Intelligence and Large Language Models
Emilio Ferrara
Journal of Computational Social Science 7, 549-569, 2024
Fairness And Bias in Artificial Intelligence: A Brief Survey of Sources, Impacts, And Mitigation Strategies
Emilio Ferrara
Sci 6 (1), 3, 2024
Political-LLM: Large Language Models in Political Science
Lincan Li, Jiaqi Li, Catherine Chen, Fred Gui, Hongjia Yang, Chenxiao Yu, Zhengguang Wang, Jianing Cai, Junlong Aaron Zhou, Bolin Shen, Alex Qian, Weixin Chen, Zhongkai Xue, Lichao Sun, Lifang He, Hanjie Chen, Kaize Ding, Zijian Du, Fangzhou Mu, Jiaxin Pei, Jieyu Zhao, Swabha Swayamdipta, Willie Neiswanger, Hua Wei, Xiyang Hu, Shixiang Zhu, Tianlong Chen, Yingzhou Lu, Yang Shi, Lianhui Qin, Tianfan Fu, Zhengzhong Tu, Yuzhe Yang, Jaemin Yoo, Jiaheng Zhang, Ryan Rossi, Liang Zhan, Liang Zhao, Emilio Ferrara, Yan Liu, Furong Huang, Xiangliang Zhang, Lawrence Rothenberg, Shuiwang Ji, Philip S Yu, Yue Zhao, Yushun Dong
arXiv preprint arXiv:2412.06864, 2024
Word embedding for social sciences: An interdisciplinary survey
Akira Matsui, Emilio Ferrara
PeerJ Computer Science 10 (e2562), 2024
What Are The Risks of Living in a GenAI Synthetic Reality? The Generative AI Paradox
Emilio Ferrara
arXiv preprint arXiv:2411.08250, 2024
Phishing Email Detection Using Inputs From Artificial Intelligence
Mithün Paul, Genevieve Bartlett, Jelena Mirkovic, Marjorie Freedman
arXiv preprint arXiv:2405.12494, 2024
Synthetic data generation for machine learning models
R Gupta, N Mehrabi, P Goyal, K Chang, A Galstyan
US Patent App. 18/216,271, 2024
Learning Morphisms with Gauss-Newton Approximation for Growing Networks
Neal Lawton, Aram Galstyan, Greg Ver Steeg
arXiv preprint arXiv:2411.05855, 2024
Adaptive Video Understanding Agent: Enhancing efficiency with dynamic frame sampling and feedback-driven reasoning
Sullam Jeoung, Goeric Huybrechts, Bhavana Ganesh, Aram Galstyan, Sravan Bodapati
arXiv preprint arXiv:2410.20252, 2024
SeRA: Self-Reviewing and Alignment of Large Language Models using Implicit Reward Margins
Jongwoo Ko, Saket Dingliwal, Bhavana Ganesh, Sailik Sengupta, Sravan Bodapati, Aram Galstyan
arXiv preprint arXiv:2410.09362, 2024
QuAILoRA: Quantization-Aware Initialization for LoRA
Neal Lawton, Aishwarya Padmakumar, Judith Gaspers, Jack FitzGerald, Anoop Kumar, Greg Ver Steeg, Aram Galstyan
arXiv preprint arXiv:2410.14713, 2024
Attribute Controlled Fine-tuning for Large Language Models: A Case Study on Detoxification
Tao Meng, Ninareh Mehrabi, Palash Goyal, Anil Ramakrishna, Aram Galstyan, Richard Zemel, Kai-Wei Chang, Rahul Gupta, Charith Peris
arXiv preprint arXiv:2410.05559, 2024