Digital tools of research dissemination make scholarly publications accessible to the public at large through simple search engines. As a result, the users that we study, interview, and cite may be at risk of exposure to unwelcome types of scrutiny and scholars must grapple with challenges to the ethics of exposure of our research participants. We present one approach to anonymization of research results with search engines in mind, which we call un-Googling, that we have developed to minimize risk to our participants. We discuss the considerations that this approach raises and pose a challenge to the HCI community to take up this discussion not only as an ethical consideration but also as a socio-technical research and design opportunity.
|Title of host publication||CHI '13 Extended Abstracts on Human Factors in Computing Systems : CHI EA '13|
|Publisher||Association for Computing Machinery|
|Publication date||5 May 2013|
|Publication status||Published - 5 May 2013|
|Series||ACM Annual Conference on Human Factors in Computing Systems (CHI)|