Media Manipulation and Bias Detection
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HonestyMeter - AI powered bias detection
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England U-19 team
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 value-laden or subjective terms that positively or negatively color the reader’s perception.
The phrase: "England Captain Thomas Rew scored an impressive 110 runs off 107 balls." The word "impressive" is an evaluative adjective that adds a subjective judgment rather than sticking strictly to factual description.
Remove the evaluative adjective: "England Captain Thomas Rew scored 110 runs off 107 balls."
If evaluation is needed, attribute it clearly: "England Captain Thomas Rew scored 110 runs off 107 balls, a performance described as impressive by team coaches."
Provide comparative context instead of value judgment: "England Captain Thomas Rew scored 110 runs off 107 balls, the highest individual score of the match."
- 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.