(In)visible moderation: A digital ethnography of marginalized users and content moderation on Twitch and Reddit
نویسندگان
چکیده
Research suggests that marginalized social media users face disproportionate content moderation and removal. However, when is removed or accounts suspended, the processes governing are largely invisible, making assessing bias difficult. To study this bias, we conducted a digital ethnography of on Reddit’s /r/FTM subreddit Twitch’s “Just Chatting” “Pools, Hot Tubs, Beaches” categories, observing visibility in real time. We found Reddit, text-based platform, platform tools make practices invisible to users, but moderators their visible through communication with users. Yet Twitch, live chat streaming channel chats, “unban appeal” streams, “back from my ban” streams. Our shows how differs important ways between platforms, harming those who must see offensive content, at other times, allowing for increased accountability.
منابع مشابه
Everything in Moderation 1 Everything in Moderation: A case for the balanced moderation of user-generated content on news sites
Moderation of user-generated content on news Web sites is an increasingly relevant and pertinent topic for online news entities. The quality and quantity of user-generated content can either help or hinder the number of audience members a news outlet receives. Considerations such as the amount of resources that can be given to moderation, the types of moderation, the types of usergenerated cont...
متن کاملTwitter integration and content moderation in GDACSmobile
Recent years have shown that mobile devices and Twitter can play a significant role in providing real-time data from disaster-affected areas to disaster managers. Against this background we present a workflow for Twitter integration into a disaster management information system, and a concept for content moderation that can increase the quality of disseminated information.
متن کاملDeeper Attention to Abusive User Content Moderation
Experimenting with a new dataset of 1.6M user comments from a news portal and an existing dataset of 115K Wikipedia talk page comments, we show that an RNN operating on word embeddings outpeforms the previous state of the art in moderation, which used logistic regression or an MLP classifier with character or word n-grams. We also compare against a CNN operating on word embeddings, and a word-l...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: New Media & Society
سال: 2022
ISSN: ['1461-4448', '1461-7315']
DOI: https://doi.org/10.1177/14614448221109804