Media Manipulation and Bias Detection
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HonestyMeter - AI powered bias detection
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Chris Jones
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 superlatives and dramatic language to enhance the story.
The phrase 'rejoiced after star defensive lineman Chris Jones agreed a new contract' uses sensational language to describe the reaction to the contract agreement.
Use a more neutral tone, such as 'expressed satisfaction' or 'welcomed the agreement of a new contract'.
Language that is partial or expresses a preference.
The article uses biased language when describing Travis Kelce as 'a gradually fading force' without providing evidence for this claim.
Provide evidence for the claim or describe the situation in a more neutral manner.
Claims made without evidence or support.
The claim that 'Kansas City is not the explosive offensive team they were in the early days of the dynasty' is presented without supporting data or analysis.
Include statistics or expert analysis to support the claim.
- 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.