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 superlatives and dramatic language to enhance the story.
The article uses phrases like 'gushed over his longtime pal' and 'masterwork' film Maestro, which may exaggerate the sentiment to make the story more compelling.
Use more neutral language to describe the event and the interactions, such as 'Brad Pitt complimented his longtime friend' and 'his film Maestro'.
Manipulating an emotional response in place of a valid or compelling argument.
The article quotes Pitt saying, 'He's been nominated 12 times and I really, really hope that this is his year,' which is designed to elicit an emotional response from the reader, rooting for Cooper's success.
Maintain a neutral tone when reporting on the hopes and achievements of the individuals involved, such as 'Pitt expressed his support for Cooper's success at the upcoming Oscars'.
- 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.