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You Can (Not) Say What You Want: Using Algospeak to Contest and Evade Algorithmic Content Moderation on TikTok

Social Media + Society, 2023
Social media users have long been aware of opaque content moderation systems and how they shape platform environments. On TikTok, creators increasingly utilize algospeak to circumvent unjust content restriction, meaning, they change or invent words to ...
Ella Steen, Kathryn Yurechko, Daniel Klug   +2 more
doaj   +2 more sources

Exploring Mental Health Content Moderation and Well-Being Tools on Social Media Platforms: Walkthrough Analysis [PDF]

JMIR Human Factors
BackgroundSocial networking site (SNS) users may experience mental health difficulties themselves or engage with mental health–related content on these platforms.
Zoë Haime, Lucy Biddle
doaj   +2 more sources

Quantifying feature importance for online content moderation [PDF]

EPJ Data Science
Accurately estimating how users respond to moderation interventions is key to designing effective and user-centred moderation strategies. This requires understanding which user characteristics are associated with different behavioural responses.
Benedetta Tessa, Alejandro Moreo, Stefano Cresci, Tiziano Fagni, Fabrizio Sebastiani   +4 more
doaj   +2 more sources

The COVID-19 Mental Health Content Moderation Conundrum [PDF]

Social Media + Society, 2020
At the time of writing (mid-May 2020), mental health charities around the world have experienced an unprecedented surge in demand. At the same time, record-high numbers of people are turning to social media to maintain personal connections due to ...
Ysabel Gerrard
doaj   +2 more sources

Content moderation, AI, and the question of scale

Big Data & Society, 2020
AI seems like the perfect response to the growing challenges of content moderation on social media platforms: the immense scale of the data, the relentlessness of the violations, and the need for human judgments without wanting humans to have to make ...
Tarleton Gillespie
doaj   +2 more sources

Ideology and free speech values predict content moderation preferences: cross-national evidence across targets of hate speech [PDF]

Scientific Reports
With over 4 billion people using social media platforms daily, decisions about what content to allow or moderate have profound implications for global public discourse, democratic deliberation, and users’ psychological well-being.
Yannis Theocharis, Spyros Kosmidis, Jan Zilinsky, Friederike Quint   +3 more
doaj   +2 more sources

Resolving content moderation dilemmas between free speech and harmful misinformation [PDF]

Proceedings of the National Academy of Sciences of the United States of America, 2023
Philipp Lorenz-Spreen, Anastasia Kozyreva, Jason Reifler   +2 more
exaly   +2 more sources

Content Moderation

Trento Student Law Review, 2023
The topic of content moderation is becoming increasingly relevant, as we are in an era of acute politicization and social media are now used to achieve political goals.
Rrita Rexhepi
doaj   +1 more source

Ethical scaling for content moderation: Extreme speech and the (in)significance of artificial intelligence

Big Data & Society, 2023
In this article, we present new empirical evidence to demonstrate the severe limitations of existing machine learning content moderation methods to keep pace with, let alone stay ahead of, hateful language online.
Sahana Udupa, Antonis Maronikolakis, Axel Wisiorek   +2 more
doaj   +1 more source

Shall AI moderators be made visible? Perception of accountability and trust in moderation systems on social media platforms

Big Data & Society, 2022
This study examines how visibility of a content moderator and ambiguity of moderated content influence perception of the moderation system in a social media environment. In the course of a two-day pre-registered experiment conducted in a realistic social
Marie Ozanne, Aparajita Bhandari, Natalya N Bazarova, Dominic DiFranzo   +3 more
doaj   +1 more source