Fight bots by warning others. Support humans with verification. Build communities with trust.
Proposing Botwatch: Trust-Based Community Bot Detection
Is this account a bot? This question’s importance is only growing in a world of LLMs and state-backed influence campaigns. Proposed here is Botwatch, a community-based system for personalized bot detection. In Botwatch, users publish records indicating whether they think others are bots and records indicating trust in a user’s scores. By analyzing this network, we can create useful signals to help users distinguish between bots and humans. Such a signal would consider your trust relations and o...
Commence the Botwatch | Botwatch Blog
Bots were already a pain online when they were little more than if-then scripts. Now a tidal wave of slop is swamping the internet as big tech companies profit. OpenAI and the rest would love for you to believe they care about "alignment" and "values" while their AI models damage our communities, both online and off. It's time to fight back.
Botender: Supporting Communities in Collaboratively Designing AI Agents through Case-Based Provocations
AI agents, or bots, serve important roles in online communities. However, they are often designed by outsiders or a few tech-savvy members, leading to bots that may not align with the broader community's needs. How might communities collectively shape the behavior of community bots? We present Botender, a system that enables communities to collaboratively design LLM-powered bots without coding. With Botender, community members can directly propose, iterate on, and deploy custom bot behaviors tailored to community needs. Botender facilitates testing and iteration on bot behavior through case-based provocations: interaction scenarios generated to spark user reflection and discussion around desirable bot behavior. A validation study found these provocations more useful than standard test cases for revealing improvement opportunities and surfacing disagreements. During a five-day deployment across six Discord servers, Botender supported communities in tailoring bot behavior to their specific needs, showcasing the usefulness of case-based provocations in facilitating collaborative bot design.
Getting Bots to Respect Boundaries
Getting Bots to Respect Boundaries How AI Crawlers Are Straining Web Infrastructure Audrey Hingle January 2026 Image by Janet Turra & Cambridge Diversity Fund betterimagesofai.org creativecommons.org/licenses/by/4.0 Contents Introduction: Setting up the Problem 3 Understandin...
FR#168 – LLMs Join The Fediverse
How to build a fediverse community when bots are indistinguishable from humans on applications to join?
Making sure you're not a bot!
Making sure you're not a bot!
Making sure you're not a bot!
Making sure you're not a bot!
Making sure you're not a bot!
Making sure you're not a bot!
Top 4 AI chatbot privacy concerns and how to mitigate them | TechTa...
Explore four key chatbot privacy concerns, as well as privacy protection strategies for individual users and organizations hoping to safeguard user data.
