News Clarity

Inspiration

The idea for News Clarity was born out of the growing challenge of navigating misinformation, bias, and sensationalism in today’s digital news landscape. Everywhere I looked, people were struggling to distinguish between factual reporting and opinion, or to spot subtle bias in headlines and articles. Manual fact-checking is time-consuming, and existing solutions often require users to leave the page or search for verification themselves. I wanted to create a tool that would empower users to quickly and easily evaluate the credibility and bias of news articles as they read.

What it does

News Clarity is an app built on the bolt platform that analyzes news articles in real time. It provides:

• Credibility ratings for news content
• Political bias detection (from left to right)
• Emotional tone analysis to identify manipulative language
• Context gap detection to highlight missing background or perspectives
• Claim verification using the ClaimBuster API
• Alternative source suggestions to offer multiple viewpoints

All of this is delivered within the app, allowing users to critically assess news without leaving their workflow.

How we built it

We built News Clarity using the bolt platform, which enabled rapid prototyping and easy integration of different tools. For bias and claim detection, we used the ClaimBuster API, as most other options were paid and not feasible for this hackathon. I relied on ChatGPT and Perplexity to help craft effective prompts for bolt and to brainstorm features and workflows. The app was designed to process text input, analyze it using the integrated API, and then present the results in an accessible format within the bolt environment.

Challenges we ran into

• Platform Limitations: bolt does not currently support browser extensions, so News Clarity is an app rather than an extension. This limited our ability to integrate directly into users’ browsing experience.
• API Access: Many advanced fact-checking and bias detection APIs are paid, so we had to work within the constraints of what was available for free.
• Feature Scope: Balancing the ambition of real-time, multi-faceted news analysis with the technical limitations of the platform was challenging.

Accomplishments that we're proud of

• Functional Prototype: We successfully built a working app that analyzes news articles for credibility, bias, and tone in real time.
• Effective Use of Available Tools: By leveraging ClaimBuster and AI-powered prompt engineering, we were able to deliver meaningful analysis within the hackathon timeframe.
• Clear Vision for the Future: Despite platform constraints, we have a clear roadmap for expanding News Clarity into a browser extension for broader accessibility.

What we learned

• Media analysis is complex: Detecting bias and misinformation is a nuanced task, and even the best tools require careful integration and testing.
• APIs and platform choices matter: The right (or wrong) infrastructure can significantly impact what’s possible in a short timeframe.
• Iterative development is key: Rapid prototyping and feedback were essential in refining the app’s features and focus.

What's next for News Clarity

• Browser Extension Development: In the future, we plan on making News Clarity an accessible browser extension for seamless, real-world use.
• Expanded Analysis: Integrate additional APIs and features to deepen the analysis and provide even more comprehensive feedback to users.
• User Customization: Enable users to adjust sensitivity for bias and tone detection.
• Educational Resources: Add guides and tips to help users develop their own media literacy skills.
• Community Input: Gather feedback to continuously improve accuracy and usefulness.

Our goal is to make credible, unbiased news analysis accessible to everyone—helping people make informed decisions in a world of information overload.

Built With

• bolt
• claimbusterapi