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.
Use of sensational language to provoke interest or excitement at the expense of accuracy.
The title 'Patrick Mahomes says Bills ‘got what they asked for’ in fiery locker room speech' uses sensational language to draw readers' attention.
Use a more neutral title such as 'Patrick Mahomes addresses team after victory over Bills'
Attempting to manipulate an emotional response in place of a valid or compelling argument.
The description of Mahomes' locker room speech and the recounting of the snowballs hurled in his direction are designed to elicit an emotional response from the reader.
Present the locker room speech and the snowball incident in a more neutral tone without charged language.
- 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.