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 attract attention.
The phrases 'flaunted her tiny waist' and 'passing off wigs as her own hair for clicks and clout' are slightly sensationalistic, aiming to draw the reader's attention.
Use more neutral language such as 'displayed her figure' and 'using wigs to change her hairstyle frequently'.
A headline designed to make readers curious and compel them to click on the link.
The headline 'Kylie Jenner shows off her long locks while modeling Alo athleisure attire... after faking haircut with short wig' uses the term 'faking haircut' to create a sense of controversy and intrigue.
Change the headline to 'Kylie Jenner models Alo athleisure attire, showcasing long hair following recent wig posts'.
- 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.