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.
Exaggerating or sensationalizing information to attract attention.
The use of the term 'dream' return and 'G.O.A.T.' (Greatest of All Time) adds a sensational tone to the article.
Replace 'dream' return with 'potential' return.
Use 'Lionel Messi' instead of 'G.O.A.T.' to maintain a neutral tone.
Using emotional language to elicit an emotional response from the audience.
The phrase 'frustrated and overcome by the emotions of the injury' is designed to evoke sympathy for Messi.
State the facts about Messi's injury and his absence from the game without adding emotional language.
- 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.