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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Judge Arthur Engoron
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.
The article uses biased language to describe the situation.
The article refers to the post as 'derogatory' and 'mocking,' which implies a negative intent on Trump's part.
Use neutral language to describe the post and its content.
The article fails to provide important details about the post and the judge's order.
The article does not mention the specific content of the post or the judge's order to remove it.
Include the specific content of the post and the judge's order in the article.
The article presents the judge's perspective more favorably than Trump's.
The article includes statements from the judge warning of the consequences of violating the gag order, but does not provide equal space for Trump's lawyer's explanation.
Include a more balanced representation of both sides' perspectives.
- 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.