The project uses tools for: Data collection Data processing Data visualization Web hosting Tool 1: Data Scraping / API Tools Used to collect Community Notes data from X Enables large-scale data gathering Other Uses: Social media research, market analysis DH Link: Supports data collection and preservation Tool 2: Data Visualization Software Used to create charts, statistics, and dashboards Helps users interpret complex data Other Uses: Business analytics, economic forecasting DH Link: Supports analysis and interpretation Tool 3: Web Platform (Dashboard Interface) Hosts the project and provides user interaction Makes data accessible to a broad audience Other Uses: Public data platforms, research tools DH Link: Supports sharing cultural data The project effectively documents its tools by demonstrating how they are used to transform raw data into meaningful outputs. For Methods, The project follows these steps: Collect data from X Clean and organize data Analyze patterns Present data through a dashboard Critical Step 1: Data Cleaning and Organization Raw data is structured into usable formats, ensuring accuracy and consistency. Link to tools: Data processing tools Link to data: Raw Community Notes Critical Step 2: Data Analysis The project identifies trends such as visibility rates and misinformation categories. Link to tools: Visualization software Link to data: Processed datasets Critical Step 3: Data Presentation Information is displayed through an interactive dashboard. Link to tools: Web interface Link to data: Final outputs Documentation Assessment The methods are clearly structured and reproducible, aligning with DH standards for transparency and documentation.