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.
The use of subjective language that implies a particular viewpoint or opinion.
Phrases like 'But arguably nobody has had his back more than his girlfriend' and 'Y’all real nosey fr' show a subjective tone that favors the subjects of the article.
Replace subjective phrases with neutral language, such as 'His girlfriend has shown support during the trial' and 'Some responses highlighted concerns about privacy.'
Attempts to manipulate an emotional response in place of a valid or compelling argument.
The article quotes tweets that express feelings of invasion of privacy, which may lead readers to feel sympathy for the couple without providing a balanced view of the situation.
Provide a balanced view by including a wider range of reactions, not just those that evoke sympathy for the couple.
- 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.