Media Manipulation and Bias Detection
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HonestyMeter - AI powered bias detection
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Naomi Osaka
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.
Exaggerating or sensationalizing events to attract attention.
Phrases like 'enthralled fans with her performance' and 'the story of the fortnight' are examples of sensationalism, as they use dramatic language to describe Osaka's achievements.
Use more neutral language such as 'impressed fans with her performance' or 'a notable player of the tournament'.
Using emotional language to sway readers' opinions.
The article discusses Osaka's tribute to Black victims of violence in a way that appeals to readers' emotions, particularly when mentioning the names of victims.
Present the information in a factual manner, focusing on the impact of her actions rather than the emotional response.
- 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.