Web Archiving

Using WARC-GPT, you can ask specific questions in natural language against a collection of WARC files. Rather than relying on keyword searches and metadata filters to sort through search results, WARC-GPT provides a new starting point for search using multi-document full-text search with summarization to explore the contents of web archives. WARC-GPT lists the sources used to generate the response and relevant text excerpts, which you can use to verify the information provided and identify points of interest within a collection of web archives.

🚨 New article! 🚨 Check out my latest, "Sorting URLs Out: seeing the web through infrastructural inversion of archival crawling" available early access in Internet Histories!! https://doi.org/10.1080/24701475.2023.2258697 #WebArchives #WebArchiving @web_archiving

Last day to answer the #IAEA's ROI for a #DigitalArchiving system . Give it a look:

https://www.ungm.org/Public/Notice/203869 @web_archiving

Freshness and completeness are two factors that together work to make a website large.