{"id":19,"date":"2026-04-14T02:05:45","date_gmt":"2026-04-14T02:05:45","guid":{"rendered":"https:\/\/classprojects.digitalwcu.org\/GoldFish\/front_page\/"},"modified":"2026-04-14T16:28:47","modified_gmt":"2026-04-14T16:28:47","slug":"front_page","status":"publish","type":"page","link":"https:\/\/classprojects.digitalwcu.org\/GoldFish\/front_page\/","title":{"rendered":"Details and Goals"},"content":{"rendered":"\nScope of the Project\nThe project analyzes over two million Community Notes and tracks how they are processed and displayed. It includes:\nSearch and filtering tools\nData visualization and statistics\nDownloadable datasets\nAnalysis of both visible and non-visible notes\nThe project begins with raw data from X and transforms it into an accessible and interactive platform for analysis.\n\n\n\n\nSignificance (Economics + DH)\nFrom an economic perspective, misinformation affects market behavior, consumer confidence, and public policy decisions. By analyzing misinformation trends, the project contributes to understanding how information impacts economic systems.\nFrom a DH perspective, the project is significant because it uses large-scale digital data to analyze cultural behavior, preserves records of online moderation, and makes that data accessible to the public. This supports the DH goals of analyzing, preserving, and sharing cultural data.\n\n\n\n\nGoal 1: Increase Transparency in Misinformation Moderation\nAudience: Researchers and the general public\nThe project aims to reveal how Community Notes function, including which notes are shown or hidden.\nDH Connection: Sharing cultural data\nGoal 2: Enable Data-Driven Analysis of Misinformation\nAudience: Academics and policymakers\n\nThe project allows users to analyze trends in misinformation using large datasets.\nDH Connection: Analyzing and interpreting cultural data\n\nGoal 3: Preserve Records of Digital Moderation\nAudience: Future researchers and institutions\nThe project stores and documents moderation data for long-term use.\nDH Connection: Preserving cultural data\n\nDocumentation Assessment\nThe project demonstrates strong documentation by clearly organizing its goals and aligning them with accessible data and tools, making it easier for users to understand and reuse the information.\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n","protected":false},"excerpt":{"rendered":"<p>Scope of the Project The project analyzes over two million Community Notes and tracks how they are processed and displayed. It includes: Search and filtering tools Data visualization and statistics Downloadable datasets Analysis of both visible and non-visible notes The project begins with raw data from X and transforms it into an accessible and interactive [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"footnotes":""},"class_list":["post-19","page","type-page","status-publish","hentry"],"_links":{"self":[{"href":"https:\/\/classprojects.digitalwcu.org\/GoldFish\/wp-json\/wp\/v2\/pages\/19","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/classprojects.digitalwcu.org\/GoldFish\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/classprojects.digitalwcu.org\/GoldFish\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/classprojects.digitalwcu.org\/GoldFish\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/classprojects.digitalwcu.org\/GoldFish\/wp-json\/wp\/v2\/comments?post=19"}],"version-history":[{"count":5,"href":"https:\/\/classprojects.digitalwcu.org\/GoldFish\/wp-json\/wp\/v2\/pages\/19\/revisions"}],"predecessor-version":[{"id":137,"href":"https:\/\/classprojects.digitalwcu.org\/GoldFish\/wp-json\/wp\/v2\/pages\/19\/revisions\/137"}],"wp:attachment":[{"href":"https:\/\/classprojects.digitalwcu.org\/GoldFish\/wp-json\/wp\/v2\/media?parent=19"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}