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| Content Provider | ACM Digital Library |
|---|---|
| Author | Kramer, Adam D.I. Dabbish, Laura A. Hong, Jason I. Das, Sauvik |
| Abstract | Social influence is key in technology adoption, but its role in security-feature adoption is unique and remains unclear. Here, we analyzed how three Facebook security features' Login Approvals, Login Notifications, and Trusted Contacts-diffused through the social networks of 1.5 million people. Our results suggest that social influence affects one's likelihood to adopt a security feature, but its effect varies based on the observability of the feature, the current feature adoption rate among a potential adopter's friends, and the number of distinct social circles from which those feature-adopting friends originate. Curiously, there may be a threshold higher than which having more security feature adopting friends predicts for higher adoption likelihood, but below which having more feature-adopting friends predicts for lower adoption likelihood. Furthermore, the magnitude of this threshold is modulated by the attributes of a feature-features that are more noticeable (Login Approvals, Trusted Contacts) have lower thresholds. |
| Starting Page | 1416 |
| Ending Page | 1426 |
| Page Count | 11 |
| File Format | |
| ISBN | 9781450329224 |
| DOI | 10.1145/2675133.2675225 |
| Language | English |
| Publisher | Association for Computing Machinery (ACM) |
| Publisher Date | 2015-02-28 |
| Publisher Place | New York |
| Access Restriction | Subscribed |
| Subject Keyword | Social influence Security adoption Social cybersecurity Security Facebook |
| Content Type | Text |
| Resource Type | Article |
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