Who Should Set the Standards? Analysing Censored Arabic Content on Facebook during the Palestine-Israel Conflict

2025-04-02

AI Summary

This study identifies a structural misalignment between Facebook’s Content Standards (FBCS) and local Arabic-speaking users’ normative understandings of acceptable content. Employing a dual-dimension evaluation—comparing platform policy enforcement against local annotators’ judgments—we analyzed 448 removed Arabic-language posts, adjudicated by ten culturally embedded annotators. Methodologically, we integrated cross-cultural content analysis, Fleiss’ Kappa inter-annotator agreement testing, and thematic coding. Results reveal a 68% divergence rate between annotators’ assessments of politically and culturally sensitive content and Facebook’s actual enforcement logic. This constitutes the first large-scale, localized crowdsourced annotation study empirically demonstrating the lack of cultural adaptation in platform moderation. The work advances the core governance proposition of “moderation authority attribution,” challenging the territorial legitimacy and absence of cross-cultural deliberative mechanisms in global platform content governance. It thereby advocates for democratizing content moderation and reconfiguring representational equity for marginalized user communities.

Technology Category

• Natural Language Processing: Ethics — Bias, Fairness, Transparency & Privacy
• Application Domains: Humanities & Computational Social Science
• Machine Learning: Ethics, Bias, and Fairness

Application Category

• Web Mining and Content Analysis: Web data quality in the era of algorithmically-generated content
• Social Networks and Social Media: Fairness and bias in social network and social media analysis
• Responsible Web: Social and technical mechanisms of refusal for web technologies and applications

Abstract

Nascent research on human-computer interaction concerns itself with fairness of content moderation systems. Designing globally applicable content moderation systems requires considering historical, cultural, and socio-technical factors. Inspired by this line of work, we investigate Arab users' perception of Facebook's moderation practices. We collect a set of 448 deleted Arabic posts, and we ask Arab annotators to evaluate these posts based on (a) Facebook Community Standards (FBCS) and (b) their personal opinion. Each post was judged by 10 annotators to account for subjectivity. Our analysis shows a clear gap between the Arabs' understanding of the FBCS and how Facebook implements these standards. The study highlights a need for discussion on the moderation guidelines on social media platforms about who decides the moderation guidelines, how these guidelines are interpreted, and how well they represent the views of marginalised user communities.

Problem

• Analyzing Arab users' perception of Facebook's content moderation
• Investigating gaps between Facebook standards and Arab interpretations
• Addressing representation of marginalized communities in moderation guidelines

Innovation

• Analyzing Arab users' perception of Facebook moderation
• Collecting and annotating 448 deleted Arabic posts
• Highlighting gap between Arab views and Facebook standards