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 exciting or shocking stories or language at the expense of accuracy, in order to provoke public interest or excitement.
The article uses phrases like 'Harry Styles ‘looks like a CEO’ with new haircut' and 'the duo we never knew we needed' to sensationalize the presence of Harry Styles at the football game.
Use more neutral language to describe Harry Styles' appearance and the public's reaction to it.
Attempting to manipulate an emotional response in place of a valid or compelling argument.
The article appeals to the emotions of the fans with statements like 'Fans were more than delighted' and 'Fans react to Harry Styles' new hair “He looks like a CEO, so handsome”', which are designed to elicit an emotional response rather than provide objective information.
Provide a more balanced view of the event by including a variety of perspectives, not just the most enthusiastic fan reactions.
- 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.