Media Manipulation and Bias Detection
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HonestyMeter - AI powered bias detection
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Malik Scott
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.
'I plan on marrying her', says Kate Abdo’s boyfriend as trainer calls CBS Sports host ‘Michael Jordan of broadcasting’ - The title is sensationalized to attract attention.
Use a more neutral title that reflects the content of the article without dramatic language.
Attempting to manipulate an emotional response in place of a valid or compelling argument.
Scott's statements about love and marriage are designed to elicit an emotional response from the reader, which can distract from the objective facts of the situation.
Focus on the facts of the situation without including personal declarations of love.
Language that is partial or prejudiced towards particular views or outcomes.
The article uses phrases like 'gushed about being very much in love' and 'Michael Jordan of broadcasting', which are biased towards portraying Scott and Abdo in a positive light.
Use neutral language that does not imply a positive or negative judgment.
- 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.