HAI Seminar: Addressing Challenges of Public Web Data

The seminar provides a valuable insider perspective on the challenges facing public web data, particularly from the viewpoint of Common Crawl, a key nonprofit in this space. The speakers, who are directly involved in the technical and operational aspects, offer credible insights into the impact of AI on web crawling. The presentation is well-structured, starting with an overview of Common Crawl’s mission and data, then delving into the specific issues of robots.txt exclusions and bot defenses. The use of concrete examples, such as the BBC’s robots.txt changes and Cloudflare’s default blocking, illustrates the real-world impact. The argumentation is solid, but the presentation is more descriptive than analytical, lacking deep quantitative analysis. The speakers acknowledge that they have raw data but have not fully analyzed it, which is a limitation. The sources cited include research papers and RFC 9309, but no specific URLs are provided in the transcript. The adéquation between title and content is good, as the seminar directly addresses challenges of public web data. The technical level is moderate, suitable for a general academic audience, but not overly simplified. Overall, the seminar is informative and raises important concerns about data transparency and the future of open web data, but it could benefit from more rigorous data analysis and external validation.

The title accurately reflects the seminar's focus on challenges facing public web data, particularly robots.txt exclusions, legal demands, and bot defenses.

8/10

Presentation by Common Crawl Foundation staff, with technical details and references to research papers, but no formal peer review or independent verification.

• 00:00Introduction
• 01:01Lecture
• 48:53Q&A

• RFC 9309 - Robots Exclusion Protocol — Mentioned as the recent standardization of robots.txt.

• Common Crawl Foundation — Official website of the organization, supporting their mission and data.