Shall AI moderators be made visible? Perception of accountability and trust in moderation systems on social media platforms
Datos Bibliográficos
| ID | 5260366 |
|---|---|
| Autores | Marie Ozanne (0000-0001-5355-0397, Cornell University, autor de correspondencia), Aparajita Bhandari (0000-0002-4844-209X, Cornell University), Natalie N Bazarova (0000-0001-5375-6598, Cornell University), Dominic Difranzo (0000-0001-6039-1806, Lehigh University) |
| Año | 2022 |
| Volumen | 9 |
| Número | 2 |
| Fecha de publicación | 2022-07-01 |
| Peer Reviewed | Sí |
| Open Access | Sí |
| Tipo | ARTICLE |
| Revista | Big Data & Society (JOURNAL) |
| Identificadores de la revista | ISSN: 2053-9517 • E-ISSN: 2053-9517 |
| Editorial | SAGE Publications Inc (PUBLISHER) |
| DOI | 10.1177/20539517221115666 |
| OpenAlex | W4289320802 |
| Idioma | EN |
| Citas recibidas | 5 |
| Referencias citadas | 47 |
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 media simulation, participants encountered moderated comments that were either unequivocally harsh or ambiguously worded, and the source of moderation was either unidentified, or attributed to other users or an automated system (AI). The results show that when comments were moderated by an AI versus other users, users perceived less accountability in the moderation system and had less trust in the moderation decision, especially for ambiguously worded harassments, as opposed to clear harassment cases. However, no differences emerged in the perceived moderation fairness, objectivity, and participants confidence in their understanding of the moderation process. Overall, our study demonstrates that users tend to question the moderation decision and system more when an AI moderator is visible, which highlights the complexity of effectively managing the visibility of automatic content moderation in the social media environment
Accountability · Ambiguity · Epistemology · Moderated mediation · Moderation · Perception · Political science · Social media · Visibility · World Wide Web · Bullying, Victimization, and Aggression · Computer Science · Hate Speech and Cyberbullying Detection · Psychology · Social Media and Politics · Social Psychology
Algorithms of Oppression
"I always assumed that I wasn't really that close to [her]"
Algorithmic Accountability
How People Form Folk Theories of Social Media Feeds and What it Means for How We Study Self-Presentation
Cyberbullying
Role of fairness, accountability, and transparency in algorithmic affordance
The Relevance of Algorithms
First I "like" it, then I hide it
Fitting Linear Mixed-Effects Models Using lme4
Conceptualizing sources in online news
What is a flag for? Social media reporting tools and the vocabulary of complaint
Disappearing acts
Censored, suspended, shadowbanned
What does the crowd think? How online comments and popularity metrics affect news credibility and issue importance
Seeing without knowing
Moderator engagement and community development in the age of algorithms
Do You Care Who Flagged This Post? Effects of Moderator Visibility on Bystander Behavior
Understanding perception of algorithmic decisions
Tweetment Effects on the Tweeted
The generality of the automatic attitude activation effect
Algorithmic content moderation
No amount of "AI" in content moderation will solve filtering's prior-restraint problem
Content moderation, AI, and the question of scale
The uncertain relationship between transparency and accountability
The relationship of the outcome and procedural fairness
| Obras citantes distintas | 5 |
|---|---|
| Citas por año | 1,67 |
| Intervalo de citas | 2023 - 2026 (4) |
| Velocidad de citación | current |
| Altamente citado | No |
| Tipos de cita | Neutras: 5 |