Trying Not to Filter: Internet Filtering Technologies in Libraries
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A presentation discussing the filtering challenge presented at the San Jose Public Library from its City Council (which the library eventually won to keep the libraries filter-free). The results of an intensive year-long study and filtering testing process are included in the presentation, as well as some information on how filters work and what to look for if you have filters in your institution.
![Trying Not to Filter: Internet Filtering Technologies Update ,[object Object],[object Object],[object Object],[object Object]](https://image.slidesharecdn.com/filtering-il2009-091028124206-phpapp01/85/Trying-Not-to-Filter-Internet-Filtering-Technologies-in-Libraries-1-320.jpg)
![San Jose Public Library's Filtering Challenge ,[object Object],[object Object],[object Object]](data:image/gif;base64,R0lGODlhAQABAIAAAAAAAP///yH5BAEAAAAALAAAAAABAAEAAAIBRAA7)
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Trying Not to Filter: Internet Filtering Technologies in Libraries
- 12. Testing Filters
- 25. The Results Accuracy = the success rate of two things: 1) blocking what the filter is set to block 2) not blocking what the filter is set to allow through How good is the filter at doing its job?
- 26. Accuracy Across All Filters Average Filter Accuracy (margin of error +/- 5%)
- 27. Average Accuracy Ratings (Content) Average Filter Accuracy (margin of error +/- 5%)
- 36. We know what we're talking about!
- 44. Questions? Sarah Houghton-Jan web: www.LibrarianInBlack.net IM: LibrarianInBlack Skype: LibrairanInBlack Facebook: facebook.com/librarianinblack Twitter: twitter.com/TheLiB email: [email_address]