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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E. Jean Carroll
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 dramatic language to provoke interest at the expense of accuracy.
The title suggests a finality that is not present in the body of the article, which mentions an appeal.
Adjust the headline to reflect the ongoing nature of the legal process.
The headline implies a final judgment when the article mentions an ongoing appeal.
The headline 'Trump must pay E. Jean Carroll over $83 million in defamation damages, jury rules' may lead readers to believe the case is concluded.
Clarify in the headline that the judgment is subject to appeal.
Leaving out important details that could change the reader's perception.
The article does not mention the context of the previous trial's findings or the grounds for the appeal.
Include information about the previous trial and the specific reasons for the appeal.
Language that is partial or expresses a preference for one side over another.
The phrase 'lots and lots of money' is informal and may imply a bias against Trump's position.
Use a more neutral description of the damages sought.
Claims made without providing evidence or support.
The claim that Carroll 'actively sought the comments and the attention' is presented without evidence.
Provide evidence or a source for the claim, or present it as an allegation rather than a fact.
- 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.