Online Convening: LLMs are the Third Wave of Automated Content Moderation
Hello AoIR colleagues (with apologies for cross-posting), I’m writing to invite you to Penn MEDIATED’s online convening, LLMs are the Third Wave of Automated Content Moderation. The convening will be held via Zoom on September 10 from 11-12:30 EST and you can register at this link<https://upenn.zoom.us/meeting/register/CbOYuDe0TvSpcmoY--eKPg#/registration>. You can see the overview, agenda, and speaker lineup below—it has researchers (including own affiliated faculty Yphtach Lelkes and Danaé Metaxa) and technologists who will examine how LLMs are changing online platform’s content moderation, how they compare to prior automated systems, and what the emerging research in this space tells us. We’ll also hear from practitioners building a new ecosystem of custom LLM-based moderation systems. LLMs are the Third Wave of Automated Content Moderation Content moderation is critical to protecting users against harmful and illegal online content, although it may also restrict free expression. Over the past two decades, platforms have increasingly turned to automation to perform content moderation at scale. First through hashing algorithms and later through predictive machine learning methods, many large platforms have automated over 90% of content moderation actions. Today, online platforms are increasingly exploring using large language models (LLMs), as a new component of the content moderation technology stack. With online platforms conducting mass layoffs of trust and safety teams, while also increasing investments in their AI development, this convening will explore how LLMs fit in the content moderation landscape and what that means for platforms, policymakers, and users. This convening brings together researchers, technologists, and practitioners to examine what this third wave of automated content moderation means in practice. We will explore how LLMs are being deployed by platforms today, how they compare to prior automated systems, and what the emerging research in this space tells us. We will hear from experts who are building their own custom systems using LLMs for content moderation and researchers who study their implications for information integrity. The conversation will also examine the policy environment shaping adoption: regulatory frameworks in the EU, Brazil and India, are setting new expectations for the speed and transparency of content moderation decisions, incentivizing further automation by online platforms. We will share a pre-read working paper on this topic in advance of this event. [Register at this link<https://upenn.zoom.us/meeting/register/CbOYuDe0TvSpcmoY--eKPg#/registration>] Agenda Alex Engler - Welcome and Introduction Alice Hunsberger - A trust and safety professional’s view Brief Presentations * Dave Willner & Samidh Chakrabarti - A demo of Zentropi’s content classification tool and how it is different from other LLM-based content moderation approaches * Camille François & Juliet Shen - Overview of open-source tooling for LLM-based content moderation and the importance of cross sectoral collaboration in this space * Audience Q&A Research Presentations * Professor Yphtach Lelkes and Neil Fasching share findings from their recent paper: Model-Dependent Moderation: Inconsistencies in Hate Speech Detection Across LLM-based Systems<https://aclanthology.org/2025.findings-acl.1144/> * Professors Danaé Metaxa and Sorelle Friedler discuss their recent work: Identity-related Speech Suppression in Generative AI Content Moderation<https://arxiv.org/abs/2409.13725> * Audience Q&A Discussion and Open Questions * Societal implications of LLMs in content moderation (Firestarter: Dia Kayyali * Policy developments are shaping LLM content moderation (Firestarter: Prithvi Iyer) Closing Remarks Speakers * Alice Hunsberger, Head of Trust and Safety, Musubi * Dave Willner, Co-Founder, Zentropi * Samidh Chakrabarti, Co-Founder, Zentropi * Camille François, President, ROOST * Juliet Shen, Head of Partnerships, ROOST * Yphtach Lelkes, Associate Professor, Annenberg School for Communications, UPenn * Neil Fasching, Postdoctoral Researcher, UPenn * Danaé Metaxa, Raj and Neera Singh Term Assistant Professor of Computer & Information Science, UPenn * Sorelle Friedler, Shibulal Family Professor of Computer Science, Haverford College Alex C. Engler Executive Director, Penn MEDIATED Penn Center on Media, Technology, and Democracy<https://infodem.upenn.edu/> The University of Pennsylvania Amy Gutmann Hall #506 acengler@upenn.edu ** Want to understand what ails our information ecosystem? ** ** Get our Newsletter<https://urldefense.com/v3/__https://signup.e2ma.net/signup/2017639/1984707/__;!!DZ3fjg!5zZ4FhCdO-SZ5igZN95VJsYOalvC8F6d3UxTvYDoGo-eJCg3VjjBrp57looIKQpbGg66qTFkCh2T8CxI7blmPPWuLEXbDFI$> | Follow us on BlueSky<https://bsky.app/profile/did:plc:xkug7clrldzrj7rktb2jewsk> or LinkedIn<https://urldefense.com/v3/__https://www.linkedin.com/company/penn-center-on-media-technology-and-democracy__;!!DZ3fjg!5zZ4FhCdO-SZ5igZN95VJsYOalvC8F6d3UxTvYDoGo-eJCg3VjjBrp57looIKQpbGg66qTFkCh2T8CxI7blmPPWuOebrTQc$> **
Dear AoIR members, I'm delighted to share All That We Touch: Wikipedia, a six-part documentary podcast series investigating what shapes the world's biggest encyclopedia, and how to use it better. The questions it asks are ones internet researchers everywhere will recognise: who edits, whose knowledge counts, how power and bias are built into a platform that positions itself as neutral, and what happens to peer-produced knowledge in the age of generative AI. The series is hosted by me (Heather Ford), Dr Francesca Sidoti, and journalist and author Richard Cooke, and produced by the award-winning UTS Impact Studios. It draws on original research from the Australian Research Council-funded Wikihistories<https://wikihistories.net/> project. Episodes: 1. Australia and Wikipedia: The bias in the map. A case study using 35,000 Australian place articles to show how editor demographics and platform rules produce geographic and colonial bias, a pattern with clear parallels wherever coverage skews toward the Global North. 2. Wikipedia's three big fights: What knowledge counts? English-language dominance in a 300+ language platform, the politics of oral citation, and the inclusionist/deletionist wars that decide what gets to exist. 2. The 'Last Best Place on the Internet': Will Wikipedia survive AI? Featuring Richard Cooke on generative AI, machine-readable knowledge (Wikidata/Abstract Wikipedia), and whether Wikipedia's human-edited model can hold. Bonus episodes: 4. Play along: The Wikipedia quiz. A true/false format unpacking common misconceptions about how the site actually works: who edits, how it's funded, and how content changes over time. 5. Research and teach with Wikipedia: In the classroom and library. Practical guidance for teaching Wikipedia literacy, relevant to teachers, librarians, and university educators anywhere. 6. Live panel: Working with First Nations and Indigenous content responsibly. Recorded live at WikiCon Australia, with lessons for editors working with any marginalised or orally-transmitted knowledge traditions. Using it in class: Episode 5 was made specifically with classroom and library use in mind. It covers lateral reading, checking Talk pages, and the questions to ask before opening Wikipedia, and links to a full set of teaching resources in the show notes. All episodes have transcripts, so they work well as assigned listening or discussion prompts for media literacy, digital literacy, or information science courses. Co-host Richard Cooke's forthcoming book, The Last Best Place on the Internet: A Human History of Wikipedia (Black Inc), shares its title with episode 2 and is well worth a read alongside the series. Listen: Apple Podcasts: https://podcasts.apple.com/au/podcast/all-that-we-touch/id6788245550 Spotify: https://open.spotify.com/show/1R2aYo0KuEAPnhom9UOzn6 We'd love for AoIR members everywhere to listen, share with students and colleagues, and let us know if you end up using any episodes in teaching. Feedback and classroom stories are always welcome. Best wishes, Heather Ford Executive Producer and Host, All That We Touch: Wikipedia Professor, University of Technology Sydney UTS CRICOS Provider Code: 00099F DISCLAIMER: This email message and any accompanying attachments may contain confidential information. If you are not the intended recipient, do not read, use, disseminate, distribute or copy this message or attachments. If you have received this message in error, please notify the sender immediately and delete this message. Any views expressed in this message are those of the individual sender, except where the sender expressly, and with authority, states them to be the views of the University of Technology Sydney. Before opening any attachments, please check them for viruses and defects. Think. Green. Do. Please consider the environment before printing this email.
Great work, Heather, Francesca, and Richard! Can't wait to check this out. matt Matt Vetter, PhD (he/him) Professor of English Dept. of Language, Literature, and Writing Indiana University of Pennsylvania Connect with me on Zoom, https://iupvideo.zoom.us/my/dr.vetterzooms Managing co-editor, Writing Spaces<http://www.writingspaces.org/> Co-chair, CCCC Wikipedia Initiative<https://cccc.ncte.org/cccc/wikipedia-initiative/> Available as open access ebook, Wikipedia and the Representation of Reality<https://www.taylorfrancis.com/books/oa-mono/10.4324/9781003094081/wikipedia-representation-reality-zachary-mcdowell-matthew-vetter?_ga=189031735.1692740009&_gl=1*lff2jh*_ga*MTg5MDMxNzM1LjE2OTI3NDAwMDk.*_ga_0HYE8YG0M6*MTY5Mjc0MDAxMC4xLjAuMTY5Mjc0MDAxMi4wLjAuMA..> Google Scholar<https://scholar.google.com/citations?user=u_UKDHgAAAAJ&hl=en> <https://scholar.google.com/citations?user=u_UKDHgAAAAJ&hl=en> profile ________________________________ From: Heather Ford via Air-L <air-l@lists.aoir.org> Sent: Monday, August 31, 2026 4:16 PM To: air-l@lists.aoir.org <air-l@lists.aoir.org> Subject: [Air-L] New podcast series: All That We Touch: Wikipedia, listen now and use in class Dear AoIR members, I'm delighted to share All That We Touch: Wikipedia, a six-part documentary podcast series investigating what shapes the world's biggest encyclopedia, and how to use it better. The questions it asks are ones internet researchers everywhere will recognise: who edits, whose knowledge counts, how power and bias are built into a platform that positions itself as neutral, and what happens to peer-produced knowledge in the age of generative AI. The series is hosted by me (Heather Ford), Dr Francesca Sidoti, and journalist and author Richard Cooke, and produced by the award-winning UTS Impact Studios. It draws on original research from the Australian Research Council-funded Wikihistories<https://wikihistories.net/> project. Episodes: 1. Australia and Wikipedia: The bias in the map. A case study using 35,000 Australian place articles to show how editor demographics and platform rules produce geographic and colonial bias, a pattern with clear parallels wherever coverage skews toward the Global North. 2. Wikipedia's three big fights: What knowledge counts? English-language dominance in a 300+ language platform, the politics of oral citation, and the inclusionist/deletionist wars that decide what gets to exist. 2. The 'Last Best Place on the Internet': Will Wikipedia survive AI? Featuring Richard Cooke on generative AI, machine-readable knowledge (Wikidata/Abstract Wikipedia), and whether Wikipedia's human-edited model can hold. Bonus episodes: 4. Play along: The Wikipedia quiz. A true/false format unpacking common misconceptions about how the site actually works: who edits, how it's funded, and how content changes over time. 5. Research and teach with Wikipedia: In the classroom and library. Practical guidance for teaching Wikipedia literacy, relevant to teachers, librarians, and university educators anywhere. 6. Live panel: Working with First Nations and Indigenous content responsibly. Recorded live at WikiCon Australia, with lessons for editors working with any marginalised or orally-transmitted knowledge traditions. Using it in class: Episode 5 was made specifically with classroom and library use in mind. It covers lateral reading, checking Talk pages, and the questions to ask before opening Wikipedia, and links to a full set of teaching resources in the show notes. All episodes have transcripts, so they work well as assigned listening or discussion prompts for media literacy, digital literacy, or information science courses. Co-host Richard Cooke's forthcoming book, The Last Best Place on the Internet: A Human History of Wikipedia (Black Inc), shares its title with episode 2 and is well worth a read alongside the series. Listen: Apple Podcasts: https://podcasts.apple.com/au/podcast/all-that-we-touch/id6788245550 Spotify: https://open.spotify.com/show/1R2aYo0KuEAPnhom9UOzn6 We'd love for AoIR members everywhere to listen, share with students and colleagues, and let us know if you end up using any episodes in teaching. Feedback and classroom stories are always welcome. Best wishes, Heather Ford Executive Producer and Host, All That We Touch: Wikipedia Professor, University of Technology Sydney UTS CRICOS Provider Code: 00099F DISCLAIMER: This email message and any accompanying attachments may contain confidential information. If you are not the intended recipient, do not read, use, disseminate, distribute or copy this message or attachments. If you have received this message in error, please notify the sender immediately and delete this message. Any views expressed in this message are those of the individual sender, except where the sender expressly, and with authority, states them to be the views of the University of Technology Sydney. Before opening any attachments, please check them for viruses and defects. Think. Green. Do. Please consider the environment before printing this email.
participants (3)
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Engler, Alex C. -
Heather Ford -
Matthew Vetter