Media Manipulation and Bias Detection
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HonestyMeter - AI powered bias detection
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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.
Misattribution occurs when a statement is falsely attributed to a source or when the source is not reliable.
The article includes statements from unnamed sources, making it difficult to verify the accuracy of the claims.
Include named sources to provide credibility and allow readers to evaluate the reliability of the information.
Unsubstantiated claims are statements made without evidence or supporting facts.
The article includes statements such as 'Tom did everything for them' and 'He practically gave them the keys to the city' without providing any evidence or specific examples.
Provide specific examples or evidence to support the claims made in 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.