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
Presenting information in a way that is intended to provoke excitement, shock, or interest.
The headline 'People surprised that Anya Taylor-Joy speaks Spanish but Jenna Ortega doesn’t' is sensationalized to create intrigue and draw attention.
Suggested Changes
Change the headline to 'Anya Taylor-Joy and Jenna Ortega chat at Dior Paris Fashion Week show' to provide a more neutral and accurate representation of the content.
Misleading headlines
Using a headline that does not accurately reflect the content of the article.
The headline 'People surprised that Anya Taylor-Joy speaks Spanish but Jenna Ortega doesn’t' is misleading as it implies that people are universally surprised, when it is actually a select group of people.
Change the headline to 'Some people surprised that Anya Taylor-Joy speaks Spanish but Jenna Ortega doesn’t' to accurately represent the content and avoid generalization.
Biased language
Using language that favors one side or perspective over another.
The article uses biased language when describing Anya Taylor-Joy as 'lily-white' and Jenna Ortega as 'no sabo kid'. These terms carry negative connotations and contribute to a biased portrayal.
Use neutral language when describing individuals to avoid bias and promote objectivity.
- 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.