Bias Tracker Devpost

Bonisiwe Shabane

-Dec 6, 2025, 7:54 PM

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. Credibility ensures that information is reliable and trustworthy. It is vital, especially in an age where misinformation spreads quickly. Without credibility, people may make decisions based on false or incomplete information, which can lead to harmful consequences.

Biases can skew how we interpret information, often leading to unfair conclusions. Biases based on race, gender, or socioeconomic status can perpetuate stereotypes and reinforce discrimination, especially when people are not aware of these biases. This affects both individuals and societies, leading to inequality and misunderstanding. Educating those who may not have had access to comprehensive education about biases—especially racial biases—is essential for creating a more equitable society. Understanding biases allows people to question misinformation and make informed decisions, breaking cycles of discrimination and injustice. To combat image bias, we are implementing AI-powered image bias checkers.

These tools analyze images for stereotypes or biased representations. We use a combination of AI APIs and news articles to authenticate the information, ensuring that the content is credible, accurate, and free from harmful bias. AI helps authenticate sources by cross-referencing news articles with databases of verified and credible information. It checks for consistency and credibility across different platforms, ensuring that the news is from trusted sources. This AI also helps identify potential biases, providing a more accurate and neutral perspective. 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... While scrolling through twitter and reddit and reading news articles, I often find myself reading a lot of content and realizing later that the user is actually biased and uses speech that cannot be... That is why I created an app that can detect such a thing early on and save people from consuming hateful and biased information.

It also helps people who could be triggered or offended by such speech and allows them to quickly analyze what they are getting into and make a judgement. The basic functionality of the app is that it allows a user to enter any length of text whether it be as small as a comment or as big as an article, and then... The greater the bias score, the greater the caution. I built this app by creating an HTML webpage with an input box, a scorekeeper, a reset button, and a bar to measure the bias visually. The detailing is done with CSS to keep everything centered and looking clean. When text is entered into the input, it is then sent to the backend using JavaScript and put into a for loop.

This for loop then iterates through every word in the bias lexicon I created and adjusts the bias score accordingly, +1 for negative words and -1 for positive words. Then, if the score is changed the bar increases or decreases in height to accurately depict the changes. Finally, the reset button sets everything back to its original state in order for new text to be entered. I ran into two specific challenges that are not syntax or CSS related. The first challenge being my first idea. I wanted to create a web scraper that takes every new news article from major sites and then scrapes it to check for hate speech or bias.

The problem with this was that one, it didn't allow for media such as comments or reddit threads to be used, and two, that it didn't allow for user input. So then I decided to make a web app instead. The second challenge was the bar not increasing in height. I had to calculate a way to detect the height of the bar initially and every time bias was detected, then add the height based on that. I am proud of the bias detection algorithm I made as it can be scaled by adding more words or phrases, and it runs smoothly. The White House has created a new section on its official website that publicly catalogs news outlets and reporters it accuses of misleading coverage, a move that supporters frame as media accountability and critics...

The page, titled “Media Offenders of the Week” and branded with the tagline “Misleading. Biased. Exposed.,” went live Friday and is linked from whitehouse.gov. It features a rotating “Media Offender of the Week,” an “Offender Hall of Shame” and a searchable database of articles, reporters and alleged violations such as “bias,” “lie,” “omission of context” and “left-wing lunacy.” The Washington Post, MS Now, CBS News and CNN top a running leaderboard the site calls a “race to the bottom.” Visitors are invited to sign up for a weekly email digest of “Offender... The tracker debuted days after six Democratic members of Congress released a video urging U.S.

service members to refuse illegal orders, prompting a furious response from President Donald Trump and his allies. In a Truth Social post, Trump described their actions as “SEDITIOUS BEHAVIOR, punishable by DEATH.” Many outlets summarized his comments as calling for the lawmakers’ “execution.” The new White House webpage argues that coverage misrepresented what the president said. The White House is calling on the public to report what it has dubbed “Fake News”—the latest escalation of President Donald Trump’s attacks on the media. The White House recently launched what it is calling a “Media Bias Portal,” which lists journalists, news outlets, and articles that it has deemed biased against the Trump Administration. On Tuesday, the White House announced a tipline, encouraging Americans to “submit biased or undeniably false articles” in order to help “keep the Media Bias Portal updated.”

The portal, the White House said, is “a service to truth and transparency.” “Its purpose is to combat the baseless lies, purposely omitted context, and outright left-wing lunacy of the Fake News Media—a tall task that demands the help of everyone who believes in facts and accuracy... “So-called ‘journalists’ have made it impossible to identify every false or misleading story, which is why help from the American people is essential. The days of the Fake News Media controlling the narrative with lies, fake anonymous sources, and willful bias are over.” The portal includes an “Offender Hall of Shame”—a database of articles, news outlets, and reporters that the White House classifies with categories including “bias,” a “false claim,” a “lie,” “left-wing lunacy,” or "misrepresentation." The White House has launched a tracker designed to call out "media offenders" every week.

The site labels every story the Trump administration objects to by classifying them into categories like "lie" or "bias." The White House launched a new page on its website on Friday called "media offenders," listing news sites, reporters, and stories it claims misled the public. The top publications cited as "media offenders of the week" were the Boston Globe, CBS News, and the Independent. Reporters from those outlets were singled out for stories about a controversial video released last week by six Democratic lawmakers. The lawmakers, all of whom are military veterans or former intelligence officials, reminded service members they are not obligated to follow illegal orders. In a video posted online last week, the lawmakers said, "Right now, the threats to our Constitution aren't just coming from abroad, but from right here at home."

The White House launched a page on its website Friday devoted to naming and shaming media outlets and reporters that publish stories it disagrees with. “Misleading. Biased. Exposed,” the site reads, naming the Boston Globe, CBS News and the Independent as “media offenders of the week” for allegedly misrepresenting President Donald Trump’s call for six Democratic members of Congress to be...

Bias Tracker Devpost

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