Dear all, We're excited to announce our next instalment of our online talk series "Behind the Scenes: Conversations on Empirical Platform Governance Research", happening online this coming 28th of January 3-4pm CEST. For the occasion, we have Blake Hallinan & CJ Reynolds with a talk titled "Malcontents as method: How bad actors offer an alternative vision of good governance on social media“ https://platform-governance.org/online-talk-series/session-15-blake-hallinan... Blake Hallinan (They/Them) is a Senior Lecturer in the Department of Communication and Journalism at the Hebrew University of Jerusalem and an affiliate of the ERC-funded DigitalValues project who researches participatory platform governance and CJ Reynolds (They/Them) is a PhD candidate in the Department of Communication and Journalism at the Hebrew University of Jerusalem researching accountability and trust in state and platform contexts Please register at the event page: https://platform-governance.org/online-talk-series/session-15-blake-hallinan... The series invites scholars in this field to share their experiences and views, fostering community exchange about how we can study platform governance in this challenging context. It is hosted by the Lab “Platform Governance, Media, and Technology” (PGMT) at the Centre for Media, Communication and Information Research (ZeMKI), University of Bremen, and the Centre for Media and Journalism Studies, University of Groningen. Best, Paloma, Joao and Christian — Prof. Dr. Christian Katzenbach Professor of Media and Communication ZeMKI, University of Bremen | Lab Platform Governance, Media and Technology (PGMT) https://platform-governance.org/team/christian-katzenbach/ Recent Publications: – Special Issue: Automating Communication in the Digital Society, New Media & Society – Special Issue: Artificial Intelligence Controversies? Big Data & Society – Strong and Weak AI Narratives: an Analytical Framework. AI & Society – Imperfect Automation and the Human Fix, Human-Machine Communication – Imaginaries of AI, Critical AI Studies