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VerifyNet is a platform for evaluating and organizing online claims. Users can vote on claim validity and explore diverse datasets on players' stats and court cases. Challenges include defining "goodness" and balancing information transparency. Future work involves adding user profiles, stable result links, real-time dataset updates, new templates, and interactive query tools.
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I Claim, U Check CPS 296 Will, Yunjia, Andrea, and Nikhil
Purpose • The public is increasingly turning to the internet for news. Source reliability online is often questionable. • Weverify claims by checking: • Correctness • Goodness • Users input opinion on whether a particular claim is interesting by voting.
Features Website contains multiple pages: • Home • Archive • Filter by subject category, dataset, template. • 3 sorting options • Query Selection • Metadata Selection • Results • Datasets (description of data) • About Main use cases are searching archive and creating claims.
Home Page • Goal is to ensure quality entries and claim searches. • Provides users with specific instructions on how to use the website. • If website went public, would be a good place to promote the most interesting claims and credit good users.
Archive • Contains previously created claims. • User can set filters for dataset and template used, and can select a number of different sorting methods. • Clicking on a retrieved result regenerates that claim and takes the user to the results page. • User gains a concise overview of claim validity
Query • Templates: • Dominance: measures uniqueness and significance • Streak Analysis: measures number of times an event occurs. • Overall goodness corresponds to 1-5 metric: (Examples are provided on the site for each template type).
Datasets • NBA Statistics about players' career and season performances. • Dominance and Streak templates • Supreme Court datasets with information about cases seen and voting records for each justice. • Streak template
Design Challenges • Ensuring quality results from user queries • Tradeoff of information transparency vs. ease of use and generalizability. • How to define “goodness” using templates. • Creating logical multi-step flows for queries. Also, providing explanations and instructions without overburdening the user. • Creating visualizations for some templates is not as straightforward as for others. • Organizing previous claims
Future Work • Add a database to the back end for user profiles (via Facebook or otherwise), settings, and saved comments. • Create a system of stable links for sharing query results. • Updating datasets in real time (or very regularly). • More templates and visualizations! • Interactive query modification. • Evaluation of different news sources based on submitted queries.