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The COVID-19 Mental Health Content Moderation Conundrum [PDF]
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
Problematizing content moderation by social media platforms and its impact on digital harm reduction. [PDF]
Recent years have marked a shift in selling and buying illicit psychoactive drugs from darknet cryptomarkets to publicly accessible social media and messaging platforms.
Gomes AB, Sultan A.
europepmc +2 more sources
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
Decentralised content moderation
Decentralised content moderation describes and potentially advocates for moderation infrastructures in which both the authority and the responsibility to moderate are distributed over a plurality of actors or institutions.
Paul Friedl, Julian Morgan
doaj +5 more sources
As government pressure on major technology companies builds, both firms and legislators are searching for technical solutions to difficult platform governance puzzles such as hate speech and misinformation.
Robert Gorwa +2 more
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This study examines the failures and possibilities of contemporary social media governance through the lived experiences of various content moderation professionals.
Lindsay Blackwell
semanticscholar +4 more sources
Repairing the harm: Toward an algorithmic reparations approach to hate speech content moderation
Content moderation algorithms influence how users understand and engage with social media platforms. However, when identifying hate speech, these automated systems often contain biases that can silence or further harm marginalized users.
Chelsea Peterson-Salahuddin
doaj +2 more sources
In an era where social media platforms burgeon with diverse content, compelling moderation is imperative to filter harmful materials. Traditional methods often grapple with the dual challenges of accuracy and computational efficiency levels.
Premnarayan Arya +7 more
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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 +2 more
doaj +1 more source
Content moderation has exploded as a policy, advocacy, and public concern. But these debates still tend to be driven by high-profile incidents and to focus on the largest, US based platforms.
Tarleton Gillespie +8 more
doaj +1 more source

