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Social media enables dynamic user engagement with trending topics, and recent research has explored the potential of large language models (LLMs) for response generation.
Understanding social media logic
José Van Dijck and Thomas Poell. 2013 · 2013
Earlier work this paper cites.
How the world changed social media
Daniel Miller, Jolynna Sinanan, Xinyuan Wang, Tom McDonald, Nell Haynes, Elisabetta Costa, Juliano Spyer, Shriram Venkatraman, and Razvan Nicolescu. 2016 · 2016
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Social media study of public opinions on potential covid-19 vaccines: informing dissent, disparities, and dissemination
Hanjia Lyu, Junda Wang, Wei Wu, Viet Duong, Xiyang Zhang, Timothy D Dye, and Jiebo Luo. 2022 · 2022
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Viral feminism:# metoo networked expressions in feminist facebook groups
Osnat Roth-Cohen. 2022 · 2022
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Understanding social engagements: A comparative analysis of user and text features in twitter
Cagri Toraman, Furkan Şahinuç, Eyup Halit Yilmaz, and Ibrahim Batuhan Akkaya. 2022 · 2022
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Do large language models understand us?
Blaise Agüera y Arcas. 2022 · 2022
Earlier work this paper cites.
S3: Social-network simulation system with large language model-empowered agents
Chen Gao, Xiaochong Lan, Zhihong Lu, Jinzhu Mao, Jinghua Piao, Huandong Wang, Depeng Jin, and Yong Li. 2023 · 2023
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Social-llm: Modeling user behavior at scale using language models and social network data
Julie Jiang and Emilio Ferrara. 2023 · 2023
Cited alongside, same era.
Gender bias and stereotypes in large language models
Hadas Kotek, Rikker Dockum, and David Sun. 2023 · 2023
Cited alongside, same era.
Artificial intelligence for health message generation: an empirical study using a large language model (llm) and prompt engineering
Sue Lim and Ralf Schmälzle. 2023 · 2023
Cited alongside, same era.
Language evolution for evading social media regulation via llm-based multi-agent simulation
Xinyi Mou, Zhongyu Wei, and Xuanjing Huang. 2024 · 2024
Later among the works it cites.
Semantics preserving emoji recommendation with large language models
Zhongyi Qiu, Kangyi Qiu, Hanjia Lyu, Wei Xiong, and Jiebo Luo. 2024 · 2024
Later among the works it cites.
Y social: an llm-powered social media digital twin
Giulio Rossetti, Massimo Stella, Rémy Cazabet, Katherine Abramski, Erica Cau, Salvatore Citraro, Andrea Failla, Riccardo Improta, Virginia Morini, and Valentina Pansanella. 2024 · 2024
Later among the works it cites.
Repalm: Popular quote tweet generation via auto-response augmentation
Erxin Yu, Jing Li, and Chunpu Xu. 2024b · 2024
Later among the works it cites.
Engagement-driven persona prompting for rewriting news tweets
Reshmi Gopalakrishna Pillai, Antske Fokkens, and Wouter van Atteveldt. 2025 · 2025
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Jinyu Cai, Jialong Li, Mingyue Zhang, Munan Li, Chen-Shu Wang, and Kenji Tei. 2024 · 2024
Cited alongside, same era.
Classifying human-generated and ai-generated election claims in social media
Alphaeus Dmonte, Marcos Zampieri, Kevin Lybarger, and Massimiliano Albanese. 2024 · 2024
Cited alongside, same era.
Gpt-4v(ision) as a social media analysis engine
Hanjia Lyu, Jinfa Huang, Daoan Zhang, Yongsheng Yu, Xinyi Mou, Jinsheng Pan, Zhengyuan Yang, Zhongyu Wei, and Jiebo Luo. 2024a
Cited in the paper.
Computational assessment of hyperpartisanship in news titles
Hanjia Lyu, Jinsheng Pan, Zichen Wang, and Jiebo Luo. 2024b
Cited in the paper.
Popalm: Popularity-aligned language models for social media trendy response prediction
Erxin Yu, Jing Li, and Chunpu Xu. 2024a
Cited in the paper.
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Reasoning-enhanced self-training for long-form personalized text generation
Alireza Salemi, Cheng Li, Mingyang Zhang, Qiaozhu Mei, Weize Kong, Tao Chen, Zhuowan Li, Michael Bendersky, and Hamed Zamani. 2025 · 2025
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