Media Manipulation and Bias Detection
Auto-Improving with AI and User Feedback
- Objectivity Score
- Objectivity Score
- Objectivity Score
- Objectivity Score
- Objectivity Score
- Objectivity Score
Media Manipulation and Bias Detection
Auto-Improving with AI and User Feedback
HonestyMeter - AI powered bias detection
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Joe Biden
Caution! Due to inherent human biases, it may seem that reports on articles aligning with our views are crafted by opponents. Conversely, reports about articles that contradict our beliefs might seem to be authored by allies. However, such perceptions are likely to be incorrect. These impressions can be caused by the fact that in both scenarios, articles are subjected to critical evaluation. This report is the product of an AI model that is significantly less biased than human analyses and has been explicitly instructed to strictly maintain 100% neutrality.
Nevertheless, HonestyMeter is in the experimental stage and is continuously improving through user feedback. If the report seems inaccurate, we encourage you to submit feedback , helping us enhance the accuracy and reliability of HonestyMeter and contributing to media transparency.
Use of exciting or shocking stories at the expense of accuracy, to provoke public interest or excitement.
The headline and the question 'did Hunter smoke crack in the White House?' are sensationalist and designed to provoke an emotional response.
Use a more neutral headline that reflects the content of the article without provoking unnecessary excitement.
Avoid including provocative questions that are unrelated to the main content of the article.
Headlines that do not accurately reflect the content of the article.
The headline suggests a focus on the loan between Joe and James Biden, but the article covers a wide range of topics, many of which are not directly related to the loan.
Rewrite the headline to more accurately reflect the broad scope of the article.
Use of language that implies judgment or contains a lack of neutrality.
Phrases like 'drug-addicted nephew' and 'imploded' carry negative connotations and imply judgment.
Replace judgmental language with neutral terms, such as 'nephew with a history of substance use' and 'filed for bankruptcy'.
Presenting one viewpoint or side of an argument disproportionately to the other.
The article focuses heavily on allegations and negative aspects of the Biden family's business dealings, with less attention to counterarguments or context.
Provide equal space and consideration to the perspectives and responses of those involved in the allegations.
Choosing sources that support one side of an argument while ignoring others.
The article cites Politico and DailyMail.com investigations but does not appear to include sources that might present a different viewpoint or additional context.
Include a wider range of sources, especially those that might offer a different perspective or additional information.
Claims that are presented without evidence to support them.
The article mentions 'over $20 million in foreign money' without providing evidence or context for this figure.
Provide evidence for claims made or clarify when information is alleged or not confirmed.
Attempting to manipulate an emotional response in place of a valid or compelling argument.
The article uses emotionally charged language and scenarios, such as the mention of patients untreated and a 'pile of lawsuits,' to elicit a response from the reader.
Focus on presenting facts and information without using language designed to elicit an emotional response.
Attacking an opponent's character rather than answering their argument.
The article includes a question shouted at James Biden about his nephew's drug use, which is an ad hominem attack and irrelevant to the subject of the article.
Remove irrelevant personal attacks that do not contribute to the subject matter of the article.
- This is an EXPERIMENTAL DEMO version that is not intended to be used for any other purpose than to showcase the technology's potential. We are in the process of developing more sophisticated algorithms to significantly enhance the reliability and consistency of evaluations. Nevertheless, even in its current state, HonestyMeter frequently offers valuable insights that are challenging for humans to detect.