Self-Censorship on Facebook
By Sauvik Das, Adam D. I. Kramer. 2013
243 citations recorded by the source corpus.
We report results from an exploratory analysis examining “last-minute” self-censorship, or content that is filtered after being written, on Facebook. We collected data from 3.9 million users over 17 days and associate self-censorship behavior with features describing users, their social graph, and the interactions between them. Our results indicate that 71% of users exhibited some level of last-minute self-censorship in the time period, and provide specific evidence supporting the theory that a user’s “perceived audience” lies at the heart of the issue: posts are censored more frequently than comments, with status updates and posts directed at groups censored most frequently of all sharing use cases investigated. Furthermore, we find that: people with more boundaries to regulate censor more; males censor more posts than females and censor even more posts with mostly male friends than do females, but censor no more comments than females; people who exercise more control over their audience censor more content; and, users with more politically and age diverse friends censor less, in general.
Subfields: Clinical Psychology, Communication, Sociology and Political Science
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Clinical Psychology
In Communication
- Alexandra Olteanu
- Fernando Diaz
- Carlos Castillo
- Emre Kıcıman
- Brent J. Hecht
- Michael W. Macy
- I. Manokha
- Anne Oeldorf-Hirsch
In Sociology and Political Science
- Alexandra Olteanu
- Fernando Diaz
- Carlos Castillo
- Emre Kıcıman
- Brent J. Hecht
- Michael W. Macy
- I. Manokha
- Anne Oeldorf-Hirsch
Citations in the corpus
- Social Data: Biases, Methodological Pitfalls, and Ethical Boundaries (2019, background): “…may not include people who only read content without writing), or due to self-censorship (e.g., not sharing or deleting a post) as a result of factors such as online harassment, privacy concerns, or some sort of social repercussion (Wang et al., 2011; Das and Kramer, 2013; Matias et al., 2015).”
- To search or to ask: the routing of information needs between traditional search engines and social networks (2014, background): “H.5.m [Information Interfaces and Presentation]: Miscellaneous General Terms Human Factors”
- On Unravelling Opinions of Issue Specific-Silent Users in Social Media (2016, background): “As user-generated content is often visible to others, users may practise selfcensorship when deciding what content to share (Das and Kramer 2013; Sleeper et al. 2013).”
- Unspeaking on Facebook? Testing network effects on self-censorship of political expressions in social network sites (2015, background): “Similarly, Das and Kramer (2013) show that Facebook users intentionally delete their own postings more frequently when their online network size is larger and comprised of many distinct groups.”
- Word of mouth and interpersonal communication: A review and directions for future research (2014, background): “Similarly, 71% of Facebook users self-censor at least some of their posts, or edit them before they hit send (Das & Kramer, 2013).”
- Surveillance, Panopticism, and Self-Discipline in the Digital Age (2018, background): “For example, a study by Das and Kramer (2013) confirmed the correlation between higher diversity of friendship circles with higher self-censorship.”
- Digital Footprints: Opportunities and Challenges for Online Social Research (2014, background): “Das & Kramer (2013) examined inhibition in self-expression, but this was only possible because of the internal logging that takes place on messages that users write but ultimately choose not to post.”