Media Manipulation and Bias Detection
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HonestyMeter - AI powered bias detection
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Luka Doncic
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 superlative or dramatic language to provoke interest.
The article uses phrases like 'exclusive list', 'nothing short of remarkable', and 'whopping 44 points' which may sensationalize Doncic's achievements.
Use more neutral language to describe achievements, such as 'notable list' and 'impressive 44 points'.
Cognitive bias where the perception of one quality is influenced by the perception of another.
By comparing Doncic with legends like LeBron James and Michael Jordan, the article may be creating a halo effect, enhancing the reader's perception of Doncic's achievements.
Provide a more balanced view by mentioning other players' achievements and not only comparing Doncic with all-time greats.
- 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.