Media Manipulation and Bias Detection
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HonestyMeter - AI powered bias detection
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Braun Strowman
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.
Exaggerating or sensationalizing information to attract attention.
The use of phrases like 'unfortunate health update' and 'Monster of All Monsters' adds a sensational tone to the article.
Use neutral language such as 'Braun Strowman provides health update' instead of 'unfortunate health update'.
Refer to Braun Strowman by his name or as a former WWE Superstar rather than 'Monster of All Monsters' to maintain a neutral tone.
Using emotional language to elicit an emotional response from the audience.
The article uses phrases like 'anger and frustration' and 'YAY ME!!!' to evoke an emotional response.
Present the information factually without emphasizing emotional reactions, e.g., 'Braun Strowman shared an X-ray of his wrist injury.'
- 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.