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...

Botwatch

Fight bots by warning others. Support humans with verification. Build communities with trust.

Games Industry Labeller (@ozone.birb.house)

A labeling service for the games industry. Check my posts for instructions. Verified labels are applied manually and may be delayed. Managed by @trezy.codes.

What is a bot? | Learning Center

An Internet bot is a software application that runs automated tasks over the Internet, ranging from helpful crawlers to malicious attackers.

Verified Adult Creator Labeler (@verified.babesky.com)

Subscribe to see adult industry creator labels, verified with AV by @Babesky.com 💖 Platform specific labels are opt-in (remove like to remove label): https://bsky.app/profile/verified.babesky.com/post/3mbtvkjjeak2v 🔗 Browse Directory: club.babesky.com

Katika Kühnreich (@Katika@chaos.social)

Attached: 1 image #SocialMedia of #realnameregistration , oh sorry, they call it real #humans , that advertises with " #AI " #slop #wsocial is more than problematic And already has #bots crawling it's #network Now they show that they are problematic concerning #aesthetics as well & advertise with tasteless #aislop @bildoperationen@tldr.nettime.org #realnameregistration is highly dangerous & if the company that wants to have your most private data can't save there net from bots they're not very trustworthy, are they? #tech

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.

Exposure to social bots amplifies perceptual biases and regulation propensity

Automated accounts on social media that impersonate real users, often called “social bots,” have received a great deal of attention from academia and the public. Here we present experiments designed to investigate public perceptions and policy preferences about social bots, in particular how they are affected by exposure to bots. We find that before exposure, participants have some biases: they tend to overestimate the prevalence of bots and see others as more vulnerable to bot influence than themselves. These biases are amplified after bot exposure. Furthermore, exposure tends to impair judgment of bot-recognition self-efficacy and increase propensity toward stricter bot-regulation policies among participants. Decreased self-efficacy and increased perceptions of bot influence on others are significantly associated with these policy preference changes. We discuss the relationship between perceptions about social bots and growing dissatisfaction with the polluted social media environment.

Exposure to social bots amplifies perceptual biases and regulation propensity

Automated accounts on social media that impersonate real users, often called “social bots,” have received a great deal of attention from academia and the public. Here we present experiments designed to investigate public perceptions and policy preferences about social bots, in particular how they are affected by exposure to bots. We find that before exposure, participants have some biases: they tend to overestimate the prevalence of bots and see others as more vulnerable to bot influence than themselves. These biases are amplified after bot exposure. Furthermore, exposure tends to impair judgment of bot-recognition self-efficacy and increase propensity toward stricter bot-regulation policies among participants. Decreased self-efficacy and increased perceptions of bot influence on others are significantly associated with these policy preference changes. We discuss the relationship between perceptions about social bots and growing dissatisfaction with the polluted social media environment.

Exposure to social bots amplifies perceptual biases and regulation propensity

Automated accounts on social media that impersonate real users, often called “social bots,” have received a great deal of attention from academia and the public. Here we present experiments designed to investigate public perceptions and policy preferences about social bots, in particular how they are affected by exposure to bots. We find that before exposure, participants have some biases: they tend to overestimate the prevalence of bots and see others as more vulnerable to bot influence than themselves. These biases are amplified after bot exposure. Furthermore, exposure tends to impair judgment of bot-recognition self-efficacy and increase propensity toward stricter bot-regulation policies among participants. Decreased self-efficacy and increased perceptions of bot influence on others are significantly associated with these policy preference changes. We discuss the relationship between perceptions about social bots and growing dissatisfaction with the polluted social media environment.

Labels are a way to categorize content and users on BlueSky. They are part of the moderation tools but they can be do lots of interesting things like foster community.

minomobi — the site factory

Tag the bot on Bluesky and an agent builds you a website. Yours, named by you, permanent.

Instagram’s AI detection is a mess (again)

Meta’s AI labels can’t be trusted.