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 exciting or shocking stories at the expense of accuracy, to provoke public interest or excitement.
The article uses sensational language when discussing the Courtney Clenney case, describing the video as 'gripping' and the altercation as 'wild'.
Use neutral language to describe the video and the case without invoking unnecessary excitement or bias.
Language that is biased or contains a partial perspective.
The article seems to take a side by portraying Clenney as the aggressor without providing a balanced view or context.
Provide a balanced description of the individuals involved and avoid language that implies guilt before a trial.
A headline that does not accurately reflect the content of the article.
The headline suggests a TV recap but the article focuses on specific stories with a sensational tone, which may mislead readers about the content.
Adjust the headline to more accurately reflect the content of the article, such as 'TMZ Highlights: OnlyFans Model Case, Tom Cruise's Deal, and NFL Playoffs'.
- 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.