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

Vision: An Exploration of Online Toxic Content Against Refugees

Arjun Arunasalam (Purdue University), Habiba Farrukh (University of California, Irvine), Eliz Tekcan (Purdue University), Z. Berkay Celik (Purdue University)

Read More

Can a Cybersecurity Question Answering Assistant Help Change User...

Lea Duesterwald (Carnegie Mellon University), Ian Yang (Carnegie Mellon University), Norman Sadeh (Carnegie Mellon University)

Read More

Screen Gleaning: Receiving and Interpreting Pixels by Eavesdropping on...

Zhuoran Liu, Léo Weissbart, Dirk Lauret (Radboud University)

Read More

Empirical Scanning Analysis of Censys and Shodan

Christopher Bennett, AbdelRahman Abdou, and Paul C. van Oorschot (School of Computer Science, Carleton University, Canada)

Read More