You Can't Stay Here
By Eshwar Chandrasekharan, Umashanthi Pavalanathan, Anirudh Srinivasan, Adam Glynn, Jacob Eisenstein, Eric Gilbert. Proc. ACM Hum. Comput. Interact., 2017
327 citations recorded by the source corpus.
Subfields: Artificial Intelligence, Communication
View Paper: https://www.semanticscholar.org/paper/73bd4faec70aecd249327cafe1e87f840cbc9bd1
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Artificial Intelligence
- Yulia Tsvetkov
- Anjalie Field
- Libby Hemphill
- Bernard Jim Jansen
- Jeremy Blackburn
- Soon-gyo Jung
- Hind Almerekhi
- Eshwar Chandrasekharan
In Communication
- Bernard Jim Jansen
- Jeremy Blackburn
- Yulia Tsvetkov
- Soon-gyo Jung
- Hind Almerekhi
- Joni O. Salminen
- Anjalie Field
- Bertie Vidgen
Citations in the corpus
- Unsupervised Discovery of Implicit Gender Bias (2020, methodology): “Chandrasekharan et al. (2017) use matching to identify similar users on Reddit before comparing the content that they post.”
- Online Hate Interpretation Varies by Country, But More by Individual: A Statistical Analysis Using Crowdsourced Ratings (2018, background): “[20] studied Reddit’s ban of r/CoonTown and r/fatpeoplehate and its impact on the affected users and found that the ban was successful in preventing hate groups from spreading their toxicity among other subreddit communities.”
- Disproportionate Removals and Differing Content Moderation Experiences for Conservative, Transgender, and Black Social Media Users: Marginalization and Moderation Gray Areas (2021, background): “Studies have found that while banning toxic communities from a mainstream platform may reduce elements like hate speech on that platform [12], conservative communities that were banned from mainstream platforms, such as r/The_Donald, may migrate to other platforms with more lax policies or set up th”
- A Just and Comprehensive Strategy for Using NLP to Address Online Abuse (2019, background): “Even behavior considered harmful in one community might be celebrated in another, e.g., Reddit’s r/fatpeoplehate (Chandrasekharan et al., 2017), and Something Awful Forums (Pater et al., 2014).”
- The Pushshift Reddit Dataset (2020, methodology): “” [117] Pushshift data has already been used to understand the phenomenon of hate speech and political extremism [79, 25, 43, 44, 64] and trolling and negative behaviors in fringe online spaces [4, 125, 126].”