autonome/phenomena

Discord bot for userandagents.com

autonome/phenomena

Discord bot for userandagents.com

ua-discord-archive/urls at main · ua-community/ua-discord-archive

Contribute to ua-community/ua-discord-archive development by creating an account on GitHub.

ua-discord-archive/msgs at main · ua-community/ua-discord-archive

Contribute to ua-community/ua-discord-archive development by creating an account on GitHub.

ua-community/ua-discord-archive

Contribute to ua-community/ua-discord-archive development by creating an account on GitHub.

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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...

phenomena/index.js at main · autonome/phenomena

Discord bot for userandagents.com. Contribute to autonome/phenomena development by creating an account on GitHub.

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.

Roomy and community organizing for system change

Roomy is a group messaging app that gives online communities tools for autonomous collaboration — designable spaces not just for chat, but for cultivating a web of shared understanding together. We show how cheap, user-controlled, interoperable data on ATProto can enable online communities to channel impassioned mobilizing into sustained organizing in the shadow of Big Tech's empire.