Lune

CHI2020Top-tier venue

Online Privacy Heuristics that Predict Information Disclosure

S. Shyam Sundar, Jinyoung Kim, Mary Beth Rosson, Maria D. Molina

2020Year
62Citations
3Top-tier citations

Abstract

Online users' attitudes toward privacy are context-dependent. Studies show that contextual cues are quite influential in motivating users to disclose personal information. Increasingly, these cues are embedded in the interface, but the mechanisms of their effects (e.g., unprofessional design contributing to more disclosure) are not fully understood. We posit that each cue triggers a specific "cognitive heuristic" that provides a rationale for decision-making. Using a national survey (N = 786) that elicited participants' disclosure intentions in common online scenarios, we identify 12 distinct heuristics relevant to privacy, and demonstrate that they are systematically associated with information disclosure. Data show that those with a higher accessibility to a given heuristic are more likely to disclose information. Design implications for protection of online privacy and security are discussed.

Ask about this paper

Ask your agent about it.

Lune has read the top-tier papers around this one, so every answer names the papers it rests on.

Questions to start from

Your agent calls

Lunesearch_papers

Ask in Lune

Free to start. No credit card required.

lune papers get 20baa11a-f75b-4b47-81be-0b4b64b3aceb

Cited by top-tier papers3

Ask how each one uses it

Related papers

Dusk over the sea between two cliffs drawn in fine vertical lines