Summary The NoteTracker Dashboard promotes transparency by revealing how misinformation is moderated on social media platforms. It highlights inequalities in access to corrective information and exposes limitations in current systems. Key Analysis A major finding is that a large majority of Community Notes are never made visible to the public. This creates unequal access to information and limits the effectiveness of fact-checking efforts. This reflects issues of digital inequality, where platforms control what information users see. As a result, certain narratives may persist despite efforts to correct them, raising concerns about fairness and accountability. Description of Data The data consists of Community Notes from X, including: Text of notes Status (published or not) Metadata (timestamps, ratings) Type and Format Structured datasets (likely CSV/JSON formats) Quantitative and textual data This format allows for easy analysis and sharing, supporting DH best practices. Input Data and Sources What: Community Notes data Where from: X (Twitter) platform The project starts with raw, large-scale social media data. Output Data and Formats Interactive dashboard Searchable database Visual statistics Downloadable datasets End Result Users can explore and analyze misinformation patterns in a structured and accessible way. Is Data Shared? Yes data is publicly available through the dashboard and downloads. DH Best Practices (Documentation) The project clearly documents its data sources and structure, supporting transparency and reproducibility, which are key DH principles. Groups, Issues, and Approaches Groups impacted: Social media users, researchers, journalists, policymakers Issues: Misinformation, algorithmic bias, lack of transparency Approach: Open data access, crowdsourced moderation, public-facing tools This supports the DH goal of analyzing and sharing cultural data while addressing social justice concerns related to information access.