University of Kwazulu-Natal

About Us Biasly

Bonisiwe Shabane
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about us biasly

We founded Biasly in 2017 because we saw an increasing need to bring clarity to media biases found in political news. In the polarized sphere of media narratives, we feel the challenges people are facing when consuming political content and engaging in political discourse. We also recognize that in an increasingly screen-centric world, teaching media literacy will be crucial to educating and empowering new generations against political biases. With research showing that Americans do not trust 44% of the news they consumed, Biasly’s work has never been more important. Finding truly objective, factual political news is not easy and often impossible. What’s possible is identifying biases in the news and offering the full picture through stories across the political spectrum to help people make informed choices about issues that matter to them.

At Biasly, we have developed an industry-leading Bias Meter which scans hundreds of articles every day to determine political bias that uses artificial intelligence. The Bias Meter uses a complex algorithm that is trained to identify certain components of an article such as tone and language. As well as not having the inherent biases of a human being, the algorithm in our Bias Meter is always learning and improving as we continually supply it with new data. This technology is rigorous in delivering a true and accurate reading of bias in the news you read. To bolster our A.I. ratings, we also have a talented and diverse team of analysts from across the political spectrum who are dedicated to finding biases in the news using Biasly’s analyst rating methodology.

Within the rating methodology, there are seven metrics to calculate a bias score between -100 and 100 with negative numbers being liberal, zero being neutral, and positive numbers being conservative. Each article is rated by three team members including one left-leaning, one moderate, and one conservative-leaning analyst. These scores are then averaged into one composite bias score for each article. At Biasly, we do not tolerate bias in our work as we hold the same standard when analyzing our works just like when we analyze other news sources. We have no agenda regarding which stories and where we place them on our Home Page. We also display a variety of articles from multiple perspectives and randomly rotate different news sources to provide a fair representation of the story at all times.

Biasly is the creator of the A.I. bias meter and news aggregator that uses the latest data science and technology to rate articles in the news including media and politician ratings. In an era dominated by digital media, it has become increasingly difficult to distinguish between unbiased reporting and subjective narratives. Biasly is a platform dedicated to helping users analyze and understand media bias, empowering them to make informed decisions. Whether you are a journalist, researcher, or a casual news reader, Biasly provides valuable insights into the credibility and objectivity of news sources. Biasly is an advanced media bias analysis tool that evaluates news articles, websites, and other content for political and ideological bias.

Using artificial intelligence and human reviewers, Biasly assigns a bias rating to news sources, helping readers identify potential slants in reporting. The platform covers a wide range of media outlets, offering transparency in journalism. Biasly utilizes a sophisticated combination of AI-driven algorithms and human evaluations to assess media bias. Here’s how the process works: Biasly employs machine learning algorithms to scan news articles for patterns in language, tone, and framing. These algorithms detect keywords, phrases, and stylistic choices that may indicate bias.

To complement AI assessments, Biasly incorporates human evaluations from political experts and neutral reviewers. This ensures a balanced perspective when assigning bias ratings. In today’s hyper-connected digital age, news consumers are bombarded with information from thousands of sources across the political spectrum. With this explosion in content, determining the objectivity, accuracy, and reliability of news outlets has become a critical challenge. This is where Biasly steps in as a game-changing platform—offering comprehensive, data-driven insights into media bias, factual accuracy, and political leanings. Biasly is more than just a media watchdog.

It leverages AI and human analysis to score articles and news sources based on a range of bias metrics. Whether you’re a casual reader or a policy analyst, Biasly helps users understand the perspective behind the news they consume and how it might shape their opinions. Biasly utilizes proprietary machine learning algorithms alongside expert human reviewers to analyze thousands of media articles daily. Each piece of content is evaluated across multiple parameters, including: This multifaceted approach ensures that each article receives a bias score and reliability rating, allowing readers to see beyond surface-level narratives. The technology goes further by comparing the article’s stance with known political positions and public opinion to highlight where an article diverges from objective reporting.

Bias in the media can subtly shape public perception, often without readers realizing it. Words are chosen, facts are emphasized or omitted, and headlines are crafted—all to support a particular narrative. When this becomes a norm, public discourse polarizes, critical thinking diminishes, and echo chambers flourish. Biasly is a media bias rating agency that scans hundreds of articles daily to determine article, media, and politician sentiments and biases in the news. Our Bias proprietary algorithm (pending patent) uses deep neural network and natural language processing components that are trained to find entities in news articles and determine their political sentiments combined with machine learning of... https://www.biasly.com/bias-meter-licensing/

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. In a world where the media landscape is more saturated than ever, navigating the complex web of news sources can feel overwhelming. Biasly, a cutting-edge platform leveraging artificial intelligence, has emerged as a game-changer in the fight against misinformation and bias. By offering detailed Media Bias Ratings, Biasly equips readers with tools to critically analyze news content and make informed decisions about the information they consume.

Biasly’s innovative Media Bias Ratings system uses a consolidated average bias score based on advanced AI meter technology. This system evaluates individual articles, classifying news into three main categories: conservative, liberal, and neutral/moderate. These classifications help readers quickly identify the ideological stance of a news source or article. The bias scores range from -100% to 100%, with higher negative scores indicating a more liberal perspective, higher positive scores reflecting a conservative leaning, and 0% representing a neutral stance. By combining machine learning algorithms and labeled data curated by a diverse team, Biasly ensures the ratings are accurate, transparent, and reliable. One of Biasly’s primary missions is to promote transparency in media.

With growing concerns over “fake news” and polarized reporting, the platform provides readers with an unbiased lens to evaluate content. The Bias Meter Technology allows individuals to identify the subtle (or not-so-subtle) leanings of various media outlets, fostering a more balanced and nuanced understanding of current events. For example, outlets classified as “Somewhat Liberal” or “Somewhat Conservative” offer insights into their reporting tendencies without discrediting their overall credibility. This approach encourages readers to assess stories critically rather than dismissing them based on preconceived notions. In today’s digital age, news comes at us from every direction, often with a skewed perspective that can influence how we perceive political events. Biasly, a platform focused on analyzing media bias and reliability, provides a solution to this challenge.

Through its detailed evaluations, Biasly helps users navigate the complexities of political news, showing how different outlets may lean liberal, conservative, or remain centrist, and how reliable they are in reporting facts. This insight is invaluable in an era where the line between news and opinion can blur. Media bias occurs when news outlets present information in a way that promotes a particular ideological perspective, whether intentional or not. Biasly’s tools analyze news sources for indicators of bias, such as the use of loaded language, selective story framing, or the omission of certain facts. By identifying these trends, Biasly highlights how bias can shape the tone, direction, and focus of a story, making it essential for consumers to be aware of these factors. For instance, a report on a new policy may be framed as progressive reform in one outlet, while another source might describe it as government overreach.

Both versions could contain factual information, but the framing impacts how the audience perceives the issue. Biasly’s ratings provide a clear look at how different political news stories are reported across outlets with varying biases. During major political events, such as elections or policy debates, media bias becomes especially evident. News outlets may emphasize different aspects of a political figure’s statement or policy, shifting the narrative depending on their ideological stance. For example, a conservative-leaning outlet might focus on economic growth resulting from a policy, while a liberal-leaning source might stress its social implications. By comparing how stories are reported across the spectrum, Biasly allows users to gain a fuller picture of political trends.

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At Biasly, we have developed an industry-leading Bias Meter which scans hundreds of articles every day to determine political bias that uses artificial intelligence. The Bias Meter uses a complex algorithm that is trained to identify certain components of an article such as tone and language. As well as not having the inherent biases of a human being, the algorithm in our Bias Meter is always lear...

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