Media Manipulation and Bias Detection
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HonestyMeter - AI powered bias detection
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Michael Jordan
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 title '“Hurt My Back Too Bad”: When Michael Jordan Confessed Inability to Crop Tobacco Like His Siblings Before Super Stardom' uses sensationalism to draw in readers with the implication of a dramatic revelation.
Use a more neutral title that accurately reflects the content of the article, such as 'Michael Jordan Reflects on Early Life and Finding His Path to Basketball'.
Attempting to induce an emotional response in the audience, often as a way to bypass rational consideration of the topic.
The article uses phrases like 'Jordan’s family had their fair share of struggles' and 'If Jordan and his parents had not acted promptly, it could have cost the 6x champion his NBA career' to evoke an emotional response from the reader.
Present facts without adding language that is designed to elicit an emotional response from the reader.
- 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.