Media Manipulation and Bias Detection
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HonestyMeter - AI powered bias detection
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Documentary Subject
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 evoke strong emotions.
The phrase 'anti-trans douchebag' is sensational and introduces bias by using derogatory language to describe Indiana Gov. Eric Holcomb.
Use a neutral term to describe the governor's stance on trans rights, such as 'critic of trans rights'.
Language that is partial or expresses a particular viewpoint.
Referring to the Texas steakhouse experience as 'palpably uncomfortable' suggests a subjective viewpoint without providing specific details.
Provide specific examples of what made the steakhouse experience uncomfortable to support the claim.
Attempting to manipulate an emotional response in place of a valid or compelling argument.
The article uses emotionally charged language such as 'genuinely moving' and 'joy' to describe the documentary, which may influence the reader's perception.
Describe the scenes in the documentary without using language that suggests an 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.