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.
Use of sensational language to provoke interest or excitement at the expense of accuracy.
The article title may invoke sensationalism by connecting the accident to the Drake concert, which might attract more attention but is not directly relevant to the nature of the criminal charges.
Rephrase the title to focus on the accident and charges without mentioning the Drake concert.
Headlines that do not accurately reflect the content of the article.
The headline may mislead readers to believe the Drake concert had a role in the accident, which is not suggested by the content of the article.
Adjust the headline to accurately reflect the content, such as 'Man charged with involuntary manslaughter in St. Louis vehicular accident'.
- 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.