isbotlab

isbotlab is a research initiative focused on automated agents and internet bots. It investigates how bots operate, how to detect and mitigate malicious bot activity, and how automated agents influence online ecosystems. The organization emphasizes reproducible research and open science, producing datasets, benchmarks, software tools, and methodological guidance for researchers and practitioners.

Origins and scope: isbotlab is an independent group that collaborates with universities, industry partners, and policy organizations. Projects cover bot detection, bot behavior analysis, adversarial bot simulation, and the study of social dynamics created by automation.

Outputs and methods: the lab develops open-source toolkits for bot detection, evaluation benchmarks, and datasets drawn from online platforms and synthetic simulations. It conducts experiments, publishes academic papers, and contributes to standards discussions on bot governance and AI safety.

Impact and reception: isbotlab is cited in research on misinformation, cybersecurity, and platform integrity. While the work is valued for its methodological rigor and transparency, it also faces criticism related to data privacy, potential biases in datasets, and the challenge of reproducing complex real-world scenarios.

Organization and accessibility: information about current projects and software is typically hosted on the lab's public repositories and project pages, with many materials released under permissive licenses to encourage reuse.