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 sensational language to create excitement or interest.
The article uses sensational language such as 'golden standard', 'the GOAT', and 'best possible start' to create hype around the comparison between Edwards and Jordan.
Use more neutral language to describe the players and the comparison, avoiding terms that imply superiority or excitement.
Using an authority figure's opinion to support a claim without additional evidence.
The article relies on Michael Jordan's opinion and Chris Broussard's statement as the primary evidence for the comparison, without providing statistical or analytical support.
Include expert analysis or statistical comparisons to support the similarities between the two players.
Leaving out important details that could change the perception of the information presented.
The article does not provide a comprehensive comparison of the two players' careers, skills, and achievements, which are essential for a balanced comparison.
Include a more detailed analysis of both players' games, including their differences and the context of their careers.
- 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.