'San Francisco-based non-profit is archiving billions of web pages in a bid to preserve web history. From a report: Since the 2016 US election, as fears about the power of fake news have intensified, the archive has stepped up its efforts to combat misinformation. At a time when false and ultra-partisan content is rapidly created and spread, and social media pages are constantly updated, the importance of having an unalterable record of who said what, when has been magnified. "We're trying to put in a layer of accountability," said founder Brewster Kahle. Mr Kahle founded the archive, which now employs more than 100 staff and costs $18m a year to run, because he feared that what was appearing on the internet was not being saved and catalogued in the same way as newspapers and books. The organisation is funded through donations, grants and the fees it charges third parties that request specific digitisation services. So far, the archive has catalogued 330bn web pages, 20m books and texts, 8.5m audio and video recordings, 3m images and 200,000 software programs. The most popular, public websites are prioritised, as are those that are commonly linked to. Some information is free to access, some is loaned out (if copyright laws apply) and some is only available to researchers. Curled up in a chair in his office after lunch, Mr Kahle lamented the combined impact of misinformation and how difficult it can be for ordinary people to access reliable sources of facts. "We're bringing up a generation that turns to their screens, without a library of information accessible via screens," said Mr Kahle. Some have taken advantage of this "new information system", he argued -- and the result is "Trump and Brexit." Having a free online library is crucial, said Mr Kahle, since "[the public is] just learning from whateverâ...âis easily available."' -- source: https://tech.slashdot.org/story/19/09/19/1858249 Cheers, Peter -- Peter Reutemann Dept. of Computer Science University of Waikato, NZ +64 (7) 858-5174 http://www.cms.waikato.ac.nz/~fracpete/ http://www.data-mining.co.nz/