[24] THE SCALABILITY CRISIS IN FACT-CHECKING: ANALYZING THE IMPACT OF SYNTHETIC MEDIA (2022–2025)

How to Cite the Article: Sushil Kumar Tiwari & Agya Ram Pandey (2026). The Scalability Crisis in Fact-Checking: Analyzing the Impact of Synthetic Media (2022–2025). International Journal of Multidisciplinary Research & Reviews, 5(5),294-309. https://doi.org/10.56815/ijmrr.v5i5.2026.294-309

Abstract

This research examines the "structural rupture" within the contemporary digital information landscape, where the early promise of democratized communication has fractured into systemic "Information Disorder." As disinformation methods evolve from human-led contextual manipulation to automated, machine-speed synthetic fabrication, the institutional frameworks responsible for preserving epistemic integrity face an existential "Scalability Crisis." Utilizing an embedded single-case research design focused on BOOM Live, this study maps the trajectory of disinformation in India from 2022 to 2025. Longitudinal empirical analysis reveals a critical inflection point: despite the growing procedural rigor of fact-checking organizations, their capacity is increasingly eclipsed by the exponential surge in AI-generated content— rising from less than 1% of total verified cases in 2022 to 20.5% in 2025. This research posits the hypothesis of "Institutional this Triage-Induced Exhaustion," arguing that the traditional "Human-in-the-Loop" (HITL) forensic model has reached a terminal structural bottleneck. The intensive labor required to deconstruct high-fidelity deepfakes and surgical influence operations necessitates a restrictive Triage Decision Matrix, which inadvertently forces institutions to prioritize high-harm campaigns while neglecting the pervasive volume of "AI Slop." The findings further identify a "Legitimacy Paradox," wherein fact-checkers operate in a space where institutional credibility—often conferred by "verified" digital status—is actively weaponized to propagate deception, effectively undermining the fact-checker’s position as an epistemic arbiter. Furthermore, the study illustrates how disinformation actors utilize "Temporal Synchronization" to align synthetic production with local socio- political cycles, rendering traditional, reactive debunking strategies increasingly obsolete. To mitigate these systemic vulnerabilities, this research advocates for a paradigm shift from reactive verification to "Algorithmic Auditing." Wecritically assess the Information Technology (Intermediary Guidelines and Digital Media Ethics Code) Amendment Rules, 2026, positioning this framework as a vital mechanism for future-proofing digital governance. The study prescribes a transition toward harm-based regulatory models that mandate platform transparency, incentivize machine-readable provenance disclosures, and foster state-neutral funding architectures. Ultimately, this thesis argues that the future of epistemic resilience lies in the convergence of human forensic rigor and algorithmic accountability, demanding a strategic pivot from "content moderation" to "design moderation" to safeguard the public sphere from the encroaching tide of synthetic destabilization.