Don't Make Me Think: A Common Sense Approach to the Web (2nd Edition)
Don't Make Me Think: A Common Sense Approach to the Web (2nd Edition)
Communications of the ACM
All your contacts are belong to us: automated identity theft attacks on social networks
Proceedings of the 18th international conference on World wide web
Inferring private information using social network data
Proceedings of the 18th international conference on World wide web
Profile popularity in a business-oriented online social network
Proceedings of the 3rd Workshop on Social Network Systems
The socialbot network: when bots socialize for fame and money
Proceedings of the 27th Annual Computer Security Applications Conference
Imagined communities: awareness, information sharing, and privacy on the facebook
PET'06 Proceedings of the 6th international conference on Privacy Enhancing Technologies
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The ever increasing popularity of Facebook and other Online Social Networks has left a wealth of personal and private data on the web, aggregated and readily accessible for broad and automatic retrieval. Protection from both undesired recipients and harvesting by crawlers is implemented by access control, manually configured by the user and owner of the data. Several studies demonstrate that default settings cause an unnoticed over-sharing and that users have trouble understanding and configuring adequate privacy settings. We developed an improved interface for privacy settings in Facebook by mainly applying color coding for different groups, providing easy access to the privacy settings, and applying the principle of common practices. Using a lab study, we show that the new approach increases the usability significantly.