mlsanityData to 7 Oct 2026

AI and the Future of Digital Public Squares

arXiv 2412.09988 ↗First posted 13 Dec 2024cs.CY cs.AIcited by 6

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Abstract (arXiv)

Two substantial technological advances have reshaped the public square in recent decades: first with the advent of the internet and second with the recent introduction of large language models (LLMs). LLMs offer opportunities for a paradigm shift towards more decentralized, participatory online spaces that can be used to facilitate deliberative dialogues at scale, but also create risks of exacerbating societal schisms. Here, we explore four applications of LLMs to improve digital public squares: collective dialogue systems, bridging systems, community moderation, and proof-of-humanity systems. Building on the input from over 70 civil society experts and technologists, we argue that LLMs both afford promising opportunities to shift the paradigm for conversations at scale and pose distinct risks for digital public squares. We lay out an agenda for future research and investments in AI that will strengthen digital public squares and safeguard against potential misuses of AI.

Key facts. Cited by 6 papers in the map (data through 7 Oct 2026). Builds on 33 of its 122 references that are in the map. First posted on arXiv 13 Dec 2024.

Builds on

33 of 122 references.

References · 33

  1. 2022Social Simulacra: Creating Populated Prototypes for Social Computing Systemscited by 300
  2. 2022Fine-tuning language models to find agreement among humans with diverse preferencescited by 189
  3. 2024Collective Constitutional AI: Aligning a Language Model with Public Inputcited by 120
  4. 2019PyTorch-BigGraph: A Large-scale Graph Embedding Systemcited by 118
  5. 2024STaR-GATE: Teaching Language Models to Ask Clarifying Questionscited by 99
  6. 2020"What We Can't Measure, We Can't Understand": Challenges to Demographic Data Procurement in the Pursuit of Fairnesscited by 56
  7. 2023Opportunities and Risks of LLMs for Scalable Deliberation with Poliscited by 41
  8. 2024The illusion of artificial inclusioncited by 34
  9. 2024Content Moderation by LLM: From Accuracy to Legitimacycited by 30
  10. 2022Birdwatch: Crowd Wisdom and Bridging Algorithms can Inform Understanding and Reduce the Spread of Misinformationcited by 21
  11. 2024Generative AI Misuse: A Taxonomy of Tactics and Insights from Real-World Datacited by 20
  12. 2023Bridging Systems: Open Problems for Countering Destructive Divisiveness across Ranking, Recommenders, and Governancecited by 17
21 more
  1. 2023Democratic Policy Development using Collective Dialogues and AIcited by 16
  2. 2020PolicyKit: Building Governance in Online Communitiescited by 15
  3. 2024Generative Ghosts: Anticipating Benefits and Risks of AI Afterlivescited by 15
  4. 2024Personhood credentials: Artificial intelligence and the value of privacy-preserving tools to distinguish who is real onlinecited by 15
  5. 2023'Generative CI' through Collective Response Systemscited by 13
  6. 2024Breaking reCAPTCHAv2cited by 12
  7. 2021Designing Recommender Systems to Depolarizecited by 11
  8. 2017The Wisdom of Polarized Crowdscited by 9
  9. 2020Classifying Constructive Commentscited by 8
  10. 2022Designing Word Filter Tools for Creator-led Comment Moderationcited by 7
  11. 2021RECAST: Enabling User Recourse and Interpretability of Toxicity Detection Models with Interactive Visualizationcited by 6
  12. 2024What We Know About Using Non-Engagement Signals in Content Rankingcited by 6
  13. 2024How will advanced AI systems impact democracy?cited by 5
  14. 2021Decentralizing Platform Power: A Design Space of Multi-level Governance in Online Social Platformscited by 4
  15. 2022All That's Happening behind the Scenes: Putting the Spotlight on Volunteer Moderator Labor in Redditcited by 4
  16. 2024Reranking Social Media Feeds: A Practical Guide for Field Experimentscited by 4
  17. 2024Re-Ranking News Comments by Constructiveness and Curiosity Significantly Increases Perceived Respect, Trustworthiness, and Interestcited by 3
  18. 2023AppealMod: Inducing Friction to Reduce Moderator Workload of Handling User Appealscited by 2
  19. 2024Using Artificial Intelligence to Accelerate Collective Intelligence: Policy Synth and Smarter Crowdsourcingcited by 2
  20. 2024Perceptions of Moderators as a Large-Scale Measure of Online Community Governancecited by 1
  21. 2024New contexts, old heuristics: How young people in India and the US trust online content in the age of generative AIcited by 1

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Cited by year (2026 to 7 Oct)

Citing papers per year: 2025: 4; 2026: 2.

6 papers.