Филология научные исследования, Journal Year: 2025, Volume and Issue: 3, P. 112 - 124
Published: March 1, 2025
This research examines the typology of rumors and fact-checking mechanisms in Chinese social media, focusing on WeChat platform. The study analyzes 300 cases disinformation extracted from "Rumor Refutation Assistant" application between 2023 2025 using Python-based tools.The author investigates structural content characteristics rumors, their thematic classification across various categories (healthcare, public safety, others), both institutional user-driven verification strategies. Special attention is given to relationship rumor types mechanisms' effectiveness within China's . methodology includes analysis for fakes typology, text mining techniques (TF-IDF, LDA), network examine information dissemination patterns. Findings reveal significant patterns distribution, where algorithmic factors substantially influence perception. Healthcare-related messages (39.67%), technology (23.00%), safety (21.33%) dominate landscape. author's contribution lies analyzing media identifying correlations fake typologies refutation strategies' effectiveness. novelty stems examining context, emphasizing WeChat's role dissemination. demonstrates that mitigating requires AI integration, active user participation fact-checking, effective legal regulation space.
Language: Английский