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 at the expense of accuracy, to provoke public interest or excitement.
The title 'Greg Davies’ story was already good but the look on Ryan Gosling’s face made it brilliant' uses sensationalism to create a sense of excitement and draw the reader's attention.
Use a more descriptive and less sensational title, such as 'Greg Davies Shares an Entertaining Story on The Graham Norton Show'.
Attempting to manipulate an emotional response in place of a valid or compelling argument.
The article repeatedly emphasizes the humorous and enjoyable nature of the clip, appealing to the reader's desire for entertainment and emotional engagement with phrases like 'Absolute hero status, the pair of them.'
Provide a more balanced description of the clip, including any relevant background information that might be of interest to the reader without solely focusing on the emotional response.
- 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.