Proceedings of the SIGCHI conference on Human Factors in Computing Systems
Lurker demographics: counting the silent
Proceedings of the SIGCHI conference on Human Factors in Computing Systems
Social translucence: an approach to designing systems that support social processes
ACM Transactions on Computer-Human Interaction (TOCHI) - Special issue on human-computer interaction in the new millennium, Part 1
Unpacking "privacy" for a networked world
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
A familiar face(book): profile elements as signals in an online social network
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Facemail: showing faces of recipients to prevent misdirected email
Proceedings of the 3rd symposium on Usable privacy and security
Changes in use and perception of facebook
Proceedings of the 2008 ACM conference on Computer supported cooperative work
Butler lies: awareness, deception and design
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Feed me: motivating newcomer contribution in social network sites
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Who's viewed you?: the impact of feedback in a mobile location-sharing application
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Proceedings of the fourth international conference on Communities and technologies
Enhancing directed content sharing on the web
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Want to be Retweeted? Large Scale Analytics on Factors Impacting Retweet in Twitter Network
SOCIALCOM '10 Proceedings of the 2010 IEEE Second International Conference on Social Computing
Everyone's an influencer: quantifying influence on twitter
Proceedings of the fourth ACM international conference on Web search and data mining
Fragile online relationship: a first look at unfollow dynamics in twitter
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Audience visualization influences disclosures in online social networks
CHI '11 Extended Abstracts on Human Factors in Computing Systems
Who gives a tweet?: evaluating microblog content value
Proceedings of the ACM 2012 conference on Computer Supported Cooperative Work
Imagined communities: awareness, information sharing, and privacy on the facebook
PET'06 Proceedings of the 6th international conference on Privacy Enhancing Technologies
The role of social networks in information diffusion
Proceedings of the 21st international conference on World Wide Web
Designing social translucence over social networks
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Circles, posts and privacy in egocentric social networks: an exploratory visualization approach
Proceedings of the 2013 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining
The post anachronism: the temporal dimension of facebook privacy
Proceedings of the 12th ACM workshop on Workshop on privacy in the electronic society
Social networking site use by mothers of young children
Proceedings of the 17th ACM conference on Computer supported cooperative work & social computing
Awkward encounters of an "other" kind: collective self-presentation and face threat on facebook
Proceedings of the 17th ACM conference on Computer supported cooperative work & social computing
City, self, network: transnational migrants and online identity work
Proceedings of the 17th ACM conference on Computer supported cooperative work & social computing
What do teens ask their online social networks?: social search practices among high school students
Proceedings of the 17th ACM conference on Computer supported cooperative work & social computing
A look at unsociability on Facebook
BCS-HCI '13 Proceedings of the 27th International BCS Human Computer Interaction Conference
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When you share content in an online social network, who is listening? Users have scarce information about who actually sees their content, making their audience seem invisible and difficult to estimate. However, understanding this invisible audience can impact both science and design, since perceived audiences influence content production and self-presentation online. In this paper, we combine survey and large-scale log data to examine how well users' perceptions of their audience match their actual audience on Facebook. We find that social media users consistently underestimate their audience size for their posts, guessing that their audience is just 27% of its true size. Qualitative coding of survey responses reveals folk theories that attempt to reverse-engineer audience size using feedback and friend count, though none of these approaches are particularly accurate. We analyze audience logs for 222,000 Facebook users' posts over the course of one month and find that publicly visible signals --- friend count, likes, and comments --- vary widely and do not strongly indicate the audience of a single post. Despite the variation, users typically reach 61% of their friends each month. Together, our results begin to reveal the invisible undercurrents of audience attention and behavior in online social networks.