Repairing the harm
Toward an algorithmic reparations approach to hate speech content moderation
Bibliographic Data
| ID | 5260617 |
|---|---|
| Authors | Chelsea Peterson-Salahuddin (0000-0001-7006-3259, University of Michigan, corresponding author) |
| Year | 2024 |
| Volume | 11 |
| Issue | 2 |
| Publication date | 2024-06-01 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Big Data & Society (JOURNAL) |
| Journal identifiers | ISSN: 2053-9517 • E-ISSN: 2053-9517 |
| Publisher | SAGE Publications Inc (PUBLISHER) |
| DOI | 10.1177/20539517241245333 |
| OpenAlex | W4395005101 |
| Language | EN |
| Citations received | 4 |
| References cited | 42 |
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. Recently, scholars have offered both restorative and transformative justice frameworks as alternative approaches to platform governance to mitigate harms caused to marginalized users. As a complement to these recent calls, in this essay, I take up the concept of reparation as one substantive approach social media platforms can use alongside and within these justice frameworks to take actionable steps toward addressing, undoing and proactively preventing the harm caused by algorithmic content moderation. Specifically, I draw on established legal and legislative reparations frameworks to suggest how social media platforms can reconceptualize algorithmic content moderation in ways that decrease harm to marginalized users when identifying hate speech. I argue that the concept of reparations can reorient how researchers and corporate social media platforms approach content moderation, away from capitalist impulses and efficiency and toward a framework that prioritizes creating an environment where individuals from marginalized communities feel safe, protected and empowered
Computer security · Free speech · Harm · Internet privacy · Law and economics · Linguistics · Moderation · Political science · Sociology · Computer Science · Hate Speech and Cyberbullying Detection · Law · Mathematics · Philosophy · Psychology · Social Psychology
Unthought
Custodians of the Internet
Algorithms of Oppression
Algorithmic Folk Theories and Identity
The Relevance of Algorithms
A Survey on Hate Speech Detection using Natural Language Processing
The Risk of Racial Bias in Hate Speech Detection
Weapons of Math Destruction
Reparations for the Future
Platformed racism
Golden Gulag
Reconsidering Reparations
Restorative Justice
Governing Hate
Beyond the hashtag
Behind the Screen
We ‘said her name’ and got zucked”
Platform governance at the margins
Talking Back
The Age of Surveillance Capitalism
Automating Inequality
Reparations for Slavery and Other Historical Injustices
Algorithmic content moderation
Cognitive assemblages
Algorithmic reparation
Content moderation, AI, and the question of scale
Online Harassment
From Scalability to Subsidiarity in Addressing Online Harm
| Unique citing works | 4 |
|---|---|
| Citations per year | 4 |
| Citation span | 2025 - 2026 (2) |
| Citation velocity | current |
| Highly cited | No |
| Citation types | Neutral: 4 |