BEGIN:VCALENDAR VERSION:2.0 PRODID:-//Talks.cam//talks.cam.ac.uk// X-WR-CALNAME:Talks.cam BEGIN:VEVENT SUMMARY:How does Government surveillance affect perceived online privacy/s ecurity and online information disclosure? - Laura Brandimarte (University of Arizona) DTSTART:20161028T090000Z DTEND:20161028T100000Z UID:TALK68655@talks.cam.ac.uk CONTACT:INI IT DESCRIPTION:Disclosure behaviors in the digital world are affected b y perceived privacy and security just as much\, or arguably more th an they are by actual privacy/security features of the digital environment . Several Governments have recently been at the center of attention for se cret surveillance programs that have affected the sense of privacy and sec urity people experience online. In this talk\, I will discuss evidence fro m two research projects showing how privacy concerns and disclosure behavi ors are affected by perceived privacy/security intrusions associated with Government monitoring and surveillance. These two interdisciplinary projec ts bring together methodologies from different disciplines: information sy stems\, machine learning\, psychology\, and economics.

The first project is in collaboration with the Census Bureau\, and studies ge o-location and its effects on willingness to disclose personal information . The U.S. Census Bureau has begun a transition from a paper-based questio nnaire to an Internet-based one. Online data collection would not only all ow for a more efficient gathering of information\; it would also\, through geo-location technologies\, allow for the automated inference of the loca tion from which the citizen is responding. Geo-location features in Census forms\, however\, may raise privacy concerns and even backfire\, as they allow for the collection of a sensitive piece of information without expli cit consent of the individual. Four online experiments investigate individ uals&rsquo\; reactions to geo-location by measuring willingness to disclos e personal information as a function of geo-location awareness and the ent ity requesting information: research or Governmental institutions. The exp eriments also explicitly test how surveillance primes affect the relations hip between geo-location awareness and disclosure. Consistent with theorie s of perceived risk\, contextual integrity\, and fairness in social exchan ges\, we find that awareness of geo-location increases privacy concerns an d perceived sensitivity of requested information\, thus decreasing willing ness to disclose sensitive information\, especially when participants did not have a prior expectation that the institution would collect that data. No significant interaction effects are found for a surveillance prime. < br>
The second project is ongoing research about the &ldquo\;chil ling effects&rdquo\; of Government surveillance on social media disclosure s\, or the tendency to self-censor in order to cope with mass monitoring s ystems raising privacy concerns. Until now\, such effects have only been e stimated using either Google/Bing search terms\, Wikipedia articles\, or s urvey data. In this research in progress\, we propose a new method in orde r to test for chilling effects in online social media platforms. We use a unique\, large dataset of Tweets and propose the use of new statistical ma chine learning techniques in order to detect anomalous trends in user beha vior (use of predetermined\, sensitive sets of keywords) after Snowden&rsq uo\;s revelations made users aware of existing surveillance programs. LOCATION:Seminar Room 1\, Newton Institute END:VEVENT END:VCALENDAR