Biasly Devpost

Bonisiwe Shabane

-Nov 30, 2025, 9:59 PM

We were inspired by the pervasive influence of language in shaping opinions and the increasing polarization of online discourse. Just as grammar checkers have transformed how we write and communicate, we envisioned a tool that empowers readers to identify and neutralize subtle biases in digital content—promoting a more balanced and objective public conversation. Biasly is a Chrome extension that analyzes online articles for biased language. It leverages the ChatGPT API to: We built Biasly using modern web technologies: Looking forward, we envision expanding Biasly in several exciting directions:

Nirvan Reddy started this project — Mar 23, 2025 10:53 AM EDT In an era dominated by information overload, the battle against misinformation is more critical than ever. Misleading articles permeate our digital landscape, driving political polarization and undermining informed discourse. To combat this, we believe in the power of critical thinking. However, the sheer volume of information we encounter daily makes it challenging to remain vigilant against logical fallacies. Enter Biasly, your ally in the fight against flawed arguments.

Harnessing the capabilities of Cohere's LLMs, Biasly is a revolutionary tool designed to automatically detect over 20 logical fallacies in writing. With just a click, you can unveil poorly constructed arguments and gain valuable insights into their flaws. But we don't stop there - Biasly provides clear explanations for each identified fallacy, empowering users to understand and counter misinformation effectively. Biasly leverages advanced AI capabilities in a two-step process. First, it employs Cohere Classify, a powerful tool that scans texts to identify logical fallacies. This step serves as the backbone of Biasly's functionality, allowing it to pinpoint flawed arguments accurately.

Once a fallacy is detected, Biasly seamlessly moves to the second step, utilizing Cohere Generate. This feature provides clear and concise explanations for each identified fallacy. Dimas Almuhtada Sudjito started this project — Sep 17, 2023 05:50 AM EDT Log in or sign up for Devpost to join the conversation. During the Palestine conflict, I watched people read the same events but walk away with opposite realities. It wasn't fake news—it was framing.

One headline said "clashes" when one side had F-16s. Palestinian victims "died" while Israeli victims were "killed." Sources were framed as "Hamas-run ministry" vs "Israeli officials." I realized: real-time fact-checking is impossible, but revealing how stories are told is totally achievable. Bias Mirror analyzes news articles to reveal manipulation techniques in real-time: Tech Stack: React, Tailwind CSS, Claude API (Anthropic) Core algorithm: Two-pass system—fast regex/keyword matching (<100ms) then AI semantic analysis on flagged sections (2-3s) The fact-checking trap: Initially tried verifying claims, but realized it's impossible in real-time and many claims are fundamentally unverifiable.

Pivoted completely to revealing framing instead. Rating political news articles using our Bias Meter Technology to provide better insight into the conservative and liberal leanings in today’s media. See top 10 news stories side by side with biases from both sides. Report news sources that have any misinformation. Install the free Chrome extension to check biases in articles that you visit. Donate now to support our services or subscribe to our news subscription.

Generate bias ratings and check the quality of sources and facts on any news articles you visit on the web or social media The Biasly News Check Chrome Extension operates as a real-time Bias Meter, delivering reliable and comprehensive bias ratings in an instant. It uses the latest data science and analytics to assess bias and reliability, enabling users to fact-check news for biases, accuracy, and reliability in real-time. It also works on Facebook and Twitter to check the quality of social media posts in the your news feed. ★ How it Works While visiting news websites, users can click on the extension icon or the 'View Bias' button on the right side of the page. The extension also works on Facebook and Twitter, allowing users to check the quality of social media posts in their news feed.

★ About Biasly Created by the founders at Biasly, a trusted media bias rating agency and news service, this extension upholds the mission of providing aggregated news and bias analytics across various news types. ★ Bias Rating Scale The Bias Rating scores on a scale of -100% to 100%, with higher negative scores indicating more liberal views and higher positive scores indicating more conservative views, while a 0%... ★ News Reliability Check News reliability is assessed based on several factors including the quality and diversity of sources and quotes. Individual scores are provided, along with an average overall reliability score. ★ Author Assessment Our Author Check feature provides insight into the author's bias score across other Biasly articles, helping you understand if the author leans in a particular direction. ★ Politician Portrayals and Political Terms Our Bias Meter recognizes how media portray politicians, assigning negative and positive sentiment scores accordingly.

The extension also measures author bias towards individual political policies and terms, giving insight into the author's portrayal and the average reader's interpretation. ★ For Everyone: Educators, News Agencies, Politicians, and News Enthusiasts Designed for people interested in understanding or teaching about media biases, this extension provides actionable insights into news consumption habits. It's a valuable tool for educators, news agencies, politicians, and anyone looking to understand the bigger picture behind the news they read. ★ Getting Started with Biasly News Check Extension Setting up is easy. Install the extension and create a free Biasly account immediately after the installation. As of now, all bias ratings are free with the extension.

By installing the extension, you agree to Biasly's Privacy Policy. Need help? We're just a click away on our contact page. Experience the new standard for the News Check Extension with Biasly. Understand and navigate the intricate world of news like never before. Embark on a journey towards an unbiased news comprehension now!biasly.com/contact-us/

Biasly News Check has disclosed the following information regarding the collection and usage of your data. More detailed information can be found in the developer's privacy policy. It's like Community Notes for the whole web! Protect against misinformation, disinformation, and scams with The Fact Checker. The anti-wokeness extension. Shows warnings about woke companies.

Use our Bias Meter to detect and mitigate biases during your news consumption. Create your free account to see the in-depth bias analytics and more. By creating an account, you agree to our Terms and Privacy Policy, and subscribe to email updates. The BIAS project stems from a belief in better-informed, potent and healthier debate and decision-making contexts, for everybody Navigate the flow of information on issues you are interested in, with the help of AI : We used the following tools to build the BIAS projects:

We signed up for this hackaton as a startup to put our infrastructure, RAIDEN AI, to use in a real-life application, and potentially generate interest in our platform from users (and investors) To process, index and retrieve sources, in a project-scoped environment, with all the required features out-the-box (feature analysis, embeddings generations Pinecone indexing, ...), accessible with a single API call and no-config, in addition to... Stay informed about Bias in your media consumption Biasly is a media bias rating agency that scans hundreds of articles daily to determine author bias and reliability issues within articles by using data science to analyze certain sentiments, policies, people, and terms... Below we will explore what our Bias Meter is and how it works. Recognizing bias allows you to assess information critically rather than accepting it at face value.

Helps you spot emotionally charged or misleading narratives designed to sway your opinion. Encourages you to seek multiple viewpoints rather than staying in an echo chamber. A tweet flagged as left leaning, right leaning tweets are similar but red (see video) On social media platforms, we are constantly bombarded with misleading and biased information. This can lead to panic or lies going viral. Biasly is a chrome extension that detects partisan bias and classifies it as left or right leaning on twitter, then alerts the user of the bias to remind them to think about what they...

Biasly's classification model is built with Google Cloud Platform's AutoML and Natural Language Processing. We used open data from Kaggle's political social media dataset and from current US senators that are active on Twitter. To get the data, the extension makes an API call to our NodeJS server, which gets the prediction from Google Cloud and sends back the results. The extension then interprets the results and outlines biased articles in red or blue depending on their political leaning. Google Cloud's Prediction API is very difficult to access. In the end, we used an exec statement on the NodeJS server to use curl to get the prediction.

The Media Bias Chart at Biasly offers a rating of various news agencies. Biasly is an independent news and bias rating agency and is dedicated to Fighting Fear with Facts. How it Works Government/Non-Profit/Education News Chart Biasly’s Media Bias Chart is an interactive, two-dimensional visual tool that maps hundreds of news sources based on their political bias (x-axis) and reliability (y-axis). What sets the chart apart is its AI-powered Bias Meter, which combines machine learning with human analyst input to generate objective bias and reliability scores for each outlet.

It enables users to quickly see where a source falls on the political spectrum — from Very Left to Very Right — while also evaluating the overall trustworthiness of its reporting. Biasly rates news sources using a methodology that blends artificial intelligence with human analyst review. Each article is scanned for linguistic markers like word choice, tone, framing, headline structure, and source selection — all of which may indicate political leanings. These are then analyzed using Biasly’s proprietary algorithms to assign a bias score and reliability score. Analysts further validate AI assessments by checking for factual accuracy, source credibility, and patterns in story selection or omission. This combined process ensures the bias ratings are not only data-driven but also contextually sound.

Biasly Devpost

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