YT Dislikes Viewer

YT Dislikes Viewer offers a time-aware, public-data-driven view of YouTube video dislike signals for researchers, marketers, and creators. It accepts a video URL or ID and returns a structured result with the latest dislike count, last_updated timestamp, region, and a confidence score. The system aggregates data from public sources, normalizes counts to a standard locale, and presents a single numeric signal alongside supporting metadata. Conceptually, the tool relies on available YouTube data APIs or archival sources, using fallbacks when direct counts are not exposed, and computes a reliability score based on source availability and recency. This makes it suitable for benchmarking across videos, tracking sentiment shifts, and informing content decisions without requiring private data. Unique value comes from multi-source fallback, explicit confidence scoring, and export-ready outputs, all while preserving user privacy by not storing private metrics. Use cases include channel performance reviews, competitive analysis, and academic research into online engagement. The core features center on timely retrieval, transparent data provenance, and stable formatting for downstream analysis, with clear handling of data gaps and edge cases. The tool is designed for analysts who need auditable, repeatable signals rather than speculative estimates, and it emphasizes explicit limitations when public data is incomplete or temporarily unavailable.