#Gamergate and The Fappening: How Reddit’s algorithm, governance, and culture support toxic technocultures
By Adrienne L Massanari. 2017
1,038 citations recorded by the source corpus.
Subfields: Communication, Gender Studies, 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 Communication
- Bernard Jim Jansen
- Jeremy Blackburn
- Paul Resnick
- Athena Vakali
- Ceren Budak
- Soon-gyo Jung
- Ashwin Rajadesingan
- Hind Almerekhi
In Gender Studies
In Sociology and Political Science
- Bernard Jim Jansen
- Jeremy Blackburn
- Paul Resnick
- Emiliano De Cristofaro
- Ceren Budak
- Ashwin Rajadesingan
- Alexandra Sasha Luccioni
- Joseph D. Viviano
Citations in the corpus
- The Pushshift Reddit Dataset (2020, background): “These differences between centralized versus delegated moderation make ideal case studies for comparing the effectiveness of responses to difficult issues like social movements, fringe identities, hate speech, and harassment campaigns [95, 96, 97].”
- What’s in the Box? An Analysis of Undesirable Content in the Common Crawl Corpus (2021, background): “Furthermore, internet communities supported by anonymity and and particular norms can amplify toxic discourse that would not be found in mainstream corpora (Massanari, 2017) often exacerbated by the well-documented ’online disinhi-”
- Mean Birds: Detecting Aggression and Bullying on Twitter (2017, background): “The GamerGate controversy [23] is one of the most well documented large-scale instances of bullying/aggressive behavior that we are aware of.”
- Quick, Community-Specific Learning: How Distinctive Toxicity Norms Are Maintained in Political Subreddits (2020, background): “For example, Massanari (2017) noted the role of Reddit’s geek culture and geek masculinity in supporting “toxic technocultures” that normalizes anti-feminist and misogynistic activism.”
- Online Hate Interpretation Varies by Country, But More by Individual: A Statistical Analysis Using Crowdsourced Ratings (2018, background): “Yet, these approaches have several shortcomings: they often need to be continually updated, fail at detecting the different degree of hatefulness, are often ineffective against manipulation, and restrict the freedom of users in online communities [24].”
- ORES (2019, neutral): “Any approach that seeks to expand access to a potentially harmful technology should also be mindful about unintended uses and abuses, as adversaries and harms in the content moderation space are numerous [70, 81, 108].”