{"about":{"site":"https://codewithpapers.app","non_affiliation":"Code with Papers and Syntology are not affiliated with, endorsed by, or sponsored by Papers with Code, Meta, or the pwc-archive mirror.","licence":"CC BY-SA 4.0","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","attribution":"https://codewithpapers.app/attribution","modified":"archive material modified by Syntology; see the attribution page"},"url":"/paper/a-simulation-system-towards-solving-societal","title":"A Simulation System Towards Solving Societal-Scale Manipulation","arxiv_id":"2410.13915","date":"2024-10-17","proceeding":null,"authors":["Maximilian Puelma Touzel","Sneheel Sarangi","Austin Welch","Gayatri Krishnakumar","Dan Zhao","Zachary Yang","Hao Yu","Ethan Kosak-Hine","Tom Gibbs","Andreea Musulan","Camille Thibault","Busra Tugce Gurbuz","Reihaneh Rabbany","Jean-François Godbout","Kellin Pelrine"],"abstract":"The rise of AI-driven manipulation poses significant risks to societal trust and democratic processes. Yet, studying these effects in real-world settings at scale is ethically and logistically impractical, highlighting a need for simulation tools that can model these dynamics in controlled settings to enable experimentation with possible defenses. We present a simulation environment designed to address this. We elaborate upon the Concordia framework that simulates offline, `real life' activity by adding online interactions to the simulation through social media with the integration of a Mastodon server. We improve simulation efficiency and information flow, and add a set of measurement tools, particularly longitudinal surveys. We demonstrate the simulator with a tailored example in which we track agents' political positions and show how partisan manipulation of agents can affect election results.","url_abs":"https://arxiv.org/abs/2410.13915v1","url_pdf":"https://arxiv.org/pdf/2410.13915v1.pdf","source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","row_kind":"abstracts"},"code_links":[{"paper_slug":"a-simulation-system-towards-solving-societal","repo_url":"https://github.com/social-sandbox/mastodon-sim","is_official":1,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"none","reach":{"status":"ok","spdx":"MIT"}}],"tasks":[],"methods":[{"method_slug":"set","method_name":"SET"}],"datasets_introduced":[],"methods_introduced":[],"results":[],"syntology":{"syntology_url":"https://syntology.ai/paper/2410.13915","atlas_url":"https://app.syntology.ai/?focus=2410.13915","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2410.13915"}},"developers":"https://syntology.ai/developers","read_at":"2026-09-25T09:33:49+00:00","read_at_is":"when the build read Syntology's graph, not when any sample ran","claim":"Per-sample execution status on synthesized fixtures; not a correctness claim about the paper. 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