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 superlatives and dramatic language to enhance the appeal of the content.
Phrases like 'stunning selfies', 'sweet photos', 'beauty mogul', and 'sexy, midriff-baring outfit' are used to sensationalize the content and make it more appealing to the reader.
Use more neutral language to describe the selfies and outfits, such as 'selfies' instead of 'stunning selfies', and 'outfit of the day' instead of 'sexy, midriff-baring outfit'.
Content designed to entice readers to click on a link, often by withholding key information or presenting it in a misleading way.
The title 'Kylie Jenner poses for selfies with big sister Kendall Jenner and shows off their differing style tastes in fun 'Ky vs Kenny' snap series' is designed to pique curiosity and encourage clicks without providing substantial information.
Rephrase the title to more accurately reflect the content of the article, such as 'Kylie and Kendall Jenner Share Photos Highlighting Their Personal Style Preferences'.
- 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.