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Exposure Diversity as a Design Principle for Recommender Systems
Information, Communication & Society, volume 21, issue 2 (2016), pp. 191-207
"Personalized recommendations in search engines, social media and also in more traditional media increasingly raise concerns over potentially negative consequences for diversity and the quality of public discourse. The algorithmic filtering and adaption of online content to personal preferences and
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Digital Humanitarians: How Big Data is Changing the Face of Humanitarian Response
Boca Raton, Florida: CRC Press (2015), xxv, 233 pp.
"The overflow of information generated during disasters can be as paralyzing to humanitarian response as the lack of information. This flash flood of information'social media, satellite imagery and more is often referred to as Big Data. Making sense of this data deluge during disasters is proving an
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The New Gatekeepers: Controlling Information in the Internet Age
Washington, DC: Center for International Media Assistance (CIMA) (2013), 54 pp.
"Internet companies have become the new gatekeepers of information–and their data-parsing algorithms the twenty-first century equivalent of the stereotypical editor with the green eyeshade who filtered the news before passing it along to readers .. As they have expanded globally, these pioneering
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