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 article uses sensational language to describe Olivia Rodrigo's style and the jeans she wears, such as 'hypnotic vocals' and 'pop punk-inspired looks'.
Remove subjective language and describe the clothing and events in a more neutral tone.
Using the opinion of an authority figure, or institution of authority, in place of an actual argument.
The article implies that because Olivia Rodrigo, a celebrity, wears these jeans, they are desirable or of high quality.
Focus on the product features without implying quality or desirability based on a celebrity's use.
The tendency for an impression created in one area to influence opinion in another area.
Olivia Rodrigo's popularity and success in music are used to positively influence the reader's perception of the jeans she wears.
Separate the product from the celebrity's overall image and success when describing the jeans.
- 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.