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"You don’t come to the library to look at porn and stuff like that": Filtering software in public libraries
Author(s) -
Louise Cooke,
Rachel Spacey,
Claire Creaser,
Adrienne Muir
Publication year - 2014
Publication title -
library and information research
Language(s) - English
Resource type - Journals
eISSN - 2752-7336
pISSN - 1756-1086
DOI - 10.29173/lirg620
Subject(s) - the internet , internet privacy , world wide web , software , filter (signal processing) , public relations , position (finance) , odds , business , sociology , computer science , political science , logistic regression , finance , machine learning , computer vision , programming language
Should public libraries filter the content of internet services offered to their users? We discuss this question in the light of findings from the AHRC-funded MAIPLE project, which has been investigating measures taken by UK Public Library Services to manage public internet provision in their libraries. Initial findings suggest that filtering software is extensively used, and that librarians and users alike are mostly content with this solution. It could be argued that this position is at odds with our professional and ethical duties towards clients to provide uninhibited access to information and ideas. However, we recognise the social norms and realities in which services must operate and go on to discuss clear and transparent policies and procedures that public libraries might adopt to mitigate the potential for misuse of their internet facilities.

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