Media Manipulation and Bias Detection
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HonestyMeter - AI powered bias detection
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Kat
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.
Using shocking or exciting language to provoke public interest.
Phrases like 'Kat chilled to the bone' and 'her worst fears realised' are used to create a dramatic effect.
Use more neutral language to describe Kat's reaction, such as 'Kat was concerned about Tommy's behavior.'
Headlines that do not accurately reflect the content of the article.
The headline suggests a major discovery about Tommy, but the article mainly discusses ongoing concerns and interactions.
Adjust the headline to better reflect the content, such as 'Kat confronts Tommy about troubling behavior in EastEnders.'
- 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.