Shujaat Mirza, Christina Pöpper (New York University)

Online social networks accumulate unprecedented amounts of data that continue to exist on user profiles long after the time of posting. Given that these platforms primarily provide a venue for people to connect and foster online friendships, the influence and the risks associated with longitudinal data may impact users and their reasons for using these platforms. To better understand these issues, we conducted two user studies of Facebook users analyzing the history of past postings w. r. t. to their perceived relevance, longitudinal exposure, and impact on the users’ befriending behavior. The studies give us a cross-cultural undergraduate student sample (n=89, campus study) and a Mechanical Turk sample of two cultural backgrounds from the US and India (n=209, MTurk study). Our findings reveal that a sizable group of participants consider their past postings irrelevant and, at times, embarrassing. However, participants’ awareness and usage of longitudinal privacy control features (e. g., Limit Past Posts) are limited, resulting in overexposure of their past postings and personal information. Importantly, we find support that these overexposed, yet irrelevant, past postings (of both participants and friend requesters) have the potential to influence users’ fundamental behavior on the platform: friend network expansion. Participants greatly valued friend requester’s past postings, particularly in the absence of prior personal interactions, but are influenced by their backgrounds (American users rely significantly more than their Indian counterparts on the requesters’ past postings for their befriending behavior). We close by discussing the implications of our findings on the future of longitudinal privacy controls.

View More Papers

Security Advice on Content Filtering and Circumvention for Parents...

Ran Elgedawy (The University of Tennessee, Knoxville), John Sadik (The University of Tennessee, Knoxville), Anuj Gautam (The University of Tennessee, Knoxville), Trinity Bissahoyo (The University of Tennessee, Knoxville), Christopher Childress (The University of Tennessee, Knoxville), Jacob Leonard (The University of Tennessee, Knoxville), Clay Shubert (The University of Tennessee, Knoxville), Scott Ruoti (The University of Tennessee,…

Read More

Trust the Crowd: Wireless Witnessing to Detect Attacks on...

Kai Jansen (Ruhr University Bochum), Liang Niu (New York University), Nian Xue (New York University), Ivan Martinovic (University of Oxford), Christina Pöpper (New York University Abu Dhabi)

Read More

icLibFuzzer: Isolated-context libFuzzer for Improving Fuzzer Comparability

Yu-Chuan Liang, Hsu-Chun Hsiao (National Taiwan University)

Read More

An Analysis of First-Party Cookie Exfiltration due to CNAME...

Tongwei Ren (Worcester Polytechnic Institute), Alexander Wittmany (University of Kansas), Lorenzo De Carli (Worcester Polytechnic Institute), Drew Davidsony (University of Kansas)

Read More