Learning to Un-Rank: Quantifying Search Exposure for Users in Online Communities

Abstract

Search engines in online communities such as Twitter or Facebook not only return matching posts, but also provide links to the profiles of the authors. Thus, when a user appears in the top-k results for a sensitive keyword query, she becomes widely exposed in a sensitive context. The effects of such exposure can result in a serious privacy violation… (More)
DOI: 10.1145/3132847.3133040

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