Privacy in online review sites

Matthew Burkholder, Rachel Greenstadt

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    Abstract

    The increasing use of online review sites is creating new challenges for user privacy. Although reviews are public, many users inadvertently disclose private information about relationship, location, and temporal attributes to the world. This research protects users of online review sites from the inadvertent disclosure of private information in three ways. First, the types of unstructured and structured information made public by online review sites are characterized and used to grade those sites on their attention to privacy. Second, a privacy-check tool that uses keyword matching and named-entity recognition to annotate potentially sensitive review text is presented. Third, we raise awareness of the privacy threat in online review sites through examples and statistics derived from the privacy-check tool.

    Original languageEnglish (US)
    Title of host publicationProceedings - IEEE CS Security and Privacy Workshops, SPW 2012
    Pages45-52
    Number of pages8
    DOIs
    StatePublished - 2012
    Event1st IEEE Security and Privacy Workshops, SPW 2012 - San Francisco, CA, United States
    Duration: May 24 2012May 25 2012

    Publication series

    NameProceedings - IEEE CS Security and Privacy Workshops, SPW 2012

    Conference

    Conference1st IEEE Security and Privacy Workshops, SPW 2012
    CountryUnited States
    CitySan Francisco, CA
    Period5/24/125/25/12

    Keywords

    • name-entity recognition
    • online data
    • privacy
    • semantic

    ASJC Scopus subject areas

    • Computer Networks and Communications

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