Influence or Deception? Evaluating Social Suggestions with Persuasive Statements for Security and Privacy Settings

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Authors: Ayako AKIYAMA HASEGAWA, Takahiro Kasama, Mitsuaki AKIYAMA
Cited by: 1
References: 48

Abstract

Configuring security and privacy (S&P) settings can be challenging for non-expert users, resulting in excessive dependence on persuasive cues, such as social proofs or expert suggestions. Although such suggestions can promote protective user choices, they can be misused as deceptive patterns that steer users toward less-protective settings. This study examines (1) how source-based suggestions (public vs. experts), when combined with logical persuasive statements, influence decision-making in S&P settings under honest or deceptive conditions and (2) how users evaluate these approaches once deception is revealed. An online experiment with 1,433 U.S. participants utilizing a 2 × 2 × 2 factorial design revealed that persuasive statements amplified the effect of social proof- and authority-based cues, which persisted even when promoting less-protective settings. These findings demonstrate the importance of persuasive S&P interfaces that follow transparent and rational design, as well as complementary interventions that foster users’ critical assessment and resilience against manipulation.

Fields of Study & Subjects

Privacy Security and Data Protection User Authentication and Security Systems Innovative Human-Technology Interaction

Publication details

Journal / source
Proceedings of the 2026 CHI Conference on Human Factors in Computing Systems
Publisher
ACM
Pages
1–24
Publication date
13 April 2026