LANGUAGE · AGENTS · NETWORKS
Information Programme Center, DSTA
We study how language, artificial agents, and networked structures co-produce influence, deception, and collective behavior online; and build the tools to detect, simulate, and govern it.
Language
Psycholinguistic and narrative analysis of online discourse — stance, framing, and coordinated narratives across platforms and communities.
Focus: Language exploration across online communities · LLM-based studies · stance studies
Agents
Detecting and simulating synthetic and human-AI hybrid actors — from individual bots to large-scale multi-agent social simulations.
Focus: BotBuster · cyborg accounts · AuraSight
Networks
Structural and diffusion analysis of how narratives, influence, and coordination move through networked publics.
Focus: MASS framework · structural balance & triad analysis · narrative diffusion · information operations
Preliminary Readings
Papers to get new LAN Shop members up to speed. Full list on Google Scholar.
Language
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Examining the influence of political bias on large language model performance in stance classification
Ng, Cruickshank, Lee. AAAI ICWSM 19: 1315–1328 (2025)
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Moral and emotional influences on attitude stability towards COVID-19 vaccines on social media
Phillips, Ng, Zhou, Carley. SBP-BRiMS pp. 25–34, Springer (2024)
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Love-Hate Dataset: A Multi-Modal Multi-Platform Dataset Depicting Emotions in the 2023 Israel-Hamas War
Ng, Lim, Lee. ACM Web Conf. 2024, pp. 1807–1815
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Is my stance the same as your stance? A cross validation study of stance detection datasets
Ng, Carley. Information Processing & Management 59(6): 103070 (2022)
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Pro or anti? A social influence model of online stance flipping
Ng, Carley. IEEE Transactions on Network Science and Engineering 10(1): 3–19 (2022)
Agents
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Bots, Bias, and Influence: The Hidden Architects of Social Media
Ng, Carley. Cambridge Scholars Publishing (2026)
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BotSim: Mitigating the Formation of Conspiratorial Societies with Useful Bots
Ng, Carley. Journal of Artificial Societies and Social Simulation (JASSS) 29(1): 4 (2026)
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Simulating Misinformation Vulnerabilities with Agent Personas
Farr, Ng, Prochaska, Cruickshank, West. Proc. WSC 2025, 1907–1918. IEEE
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AuraSight: Generating Realistic Social Media Data
Ng, Kang, Carley. Tech. Report CMU-S3D-25-109, Carnegie Mellon University (2025)
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Botbuster: Multi-platform bot detection using a mixture of experts
Ng, Carley. AAAI ICWSM 17: 686–697 (2023)
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Are LLM-Powered Social Media Bots Realistic?
Ng, Carley. SBP-BRiMS pp. 14–23, Springer (2025)
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Tiny-BotBuster: Identifying Automated Political Coordination in Digital Campaigns
Ng, Bartulovic, Carley. SBP-BRiMS pp. 25–34, Springer (2024)
Networks
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Social Theory Should Be a Structural Prior for Agentic AI: A Formal Framework for Multi-Agent Social Systems
Ng, Cruickshank, Lim, Carley. arXiv:2605.07069 (2026)
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Star Network Motifs on X During COVID-19
Ng, Sinha, Carley. SBP-BRiMS pp. 193–202, Springer (2025)
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Deflating the Chinese balloon: types of Twitter bots in US-China balloon incident
Ng, Carley. EPJ Data Science 12(1): 63 (2023)
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A combined synchronization index for evaluating collective action social media
Ng, Carley. Applied Network Science 8, 1 (2023)
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Coordinating Narratives Framework for cross-platform analysis in the 2021 US Capitol riots
Ng, Cruickshank, Carley. Computational and Mathematical Organization Theory (2022)
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It Takes Two to Negotiate: Modeling Social Exchange in Online Multiplayer Games
Jaidka, Ahuja, Ng. Proc. ACM HCI 8, CSCW1: 1–22 (2024)