Countering Digital Misinformation through Community-Based Multilingual Fact-Checking Networks

The unchecked proliferation of digital misinformation poses significant threats to democratic governance, public health, and social cohesion, particularly within linguistically diverse communities that remain underserved by mainstream, institution-led fact-checking initiatives. This study investigates the capacity of community-based multilingual fact-checking networks to counter misinformation more effectively than conventional, centralised models by leveraging local linguistic knowledge, cultural trust, and participatory engagement. Employing a mixed-methods approach — incorporating comparative case studies, semi-structured interviews with network practitioners, and discourse analysis of fact-checked content across ten multilingual communities — the research examines operational structures, effectiveness, and sustainability factors across selected networks in sub-Saharan Africa, South Asia, and Southeast Asia. Findings indicate that community-embedded networks demonstrate superior reach within low-resource language environments and engender higher levels of community trust compared to top-down counterparts, though they face persistent challenges related to funding, training, and editorial independence. The study contributes an evidence-based conceptual framework for designing scalable, inclusive fact-checking ecosystems that are responsive to linguistic and cultural diversity. Practically, the findings offer actionable guidance for civil society organisations, media development agencies, and policymakers committed to building more equitable and resilient information environments.