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.
The phrase 'drunken debacle' and the repeated mention of King being 'f---ing hammered' during her performance may be seen as sensationalizing the event.
Use more neutral language to describe the event, such as 'controversial performance' instead of 'drunken debacle'.
A headline that does not accurately reflect the content of the article.
The headline 'Elle King makes her first return to the stage since her drunken Dolly Parton birthday tribute performance' focuses on the negative aspect of her previous performance rather than her return to performing.
Rephrase the headline to focus on the current event, such as 'Elle King returns to the stage at Extra Innings Festival'.
- 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.