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.
The article contains biased language that favors the Broncos.
The article uses phrases like 'major lift,' 'feisty,' and 'pretty darn healthy' to describe the Broncos, which can create a positive bias towards the team.
Use neutral language to describe the teams and players.
The article selectively focuses on the performance of Ja’Quan McMillian against the Chiefs.
The article highlights McMillian's performance against the Chiefs but does not provide a balanced view of his overall performance or the performance of other players in the game.
Provide a more comprehensive analysis of the game and include information about the performance of other players.
The article omits important details about the game and the teams.
The article does not mention the final score of the game or provide any context about the Broncos' historic losing streak to the Chiefs.
Include the final score of the game and provide context about the Broncos' history against the Chiefs.
- 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.