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.
Sensationalism
Use of exciting or shocking stories at the expense of accuracy, to provoke public interest or excitement.
The article's title and content use sensational language to attract attention, such as 'Nicki Minaj’s Fake Nails & Tour Earn Beyonce’s Approval, Trolls Tease Onika About Rihanna & Cardi B'.
Suggested Changes
Use a more neutral title and avoid sensational language.
Biased language
Language that is biased or contains a partial perspective.
The article uses biased language favoring Nicki Minaj, such as 'Queen of Rap' and 'clearly proud', while referring to her critics as 'haters'.
Use neutral descriptors and avoid language that implies judgment.
Unsubstantiated claims
Claims made without evidence to support them.
The article makes claims about the relationship between Nicki Minaj, Rihanna, and Cardi B without providing evidence, 'no one really knows how Nicki Minaj feels about her "Fly" collaborator spending time with one of her biggest opps.'
Provide evidence for claims or clarify when information is speculative.
- 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.