Media Manipulation and Bias Detection
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HonestyMeter - AI powered bias detection
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Dante Hall
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 exciting or shocking stories at the expense of accuracy, to provoke public interest or excitement.
The article title 'Travis Kelce, Patrick Mahomes Are Acting 'Spoiled,'' Says Former Chiefs Star' uses sensational language to attract readers.
Use a more neutral title that reflects the content of the article without sensationalizing the behavior of the players.
Language that is biased or contains personal judgments.
Dante Hall's comments comparing the players to 'spoiled little brats' contain biased language and personal judgment.
Present Dante Hall's opinion in a way that acknowledges it as subjective and not a statement of fact.
Claims that are presented without the necessary evidence or support.
The article presents Dante Hall's opinions as facts without providing evidence to support his claims about the players' attitudes.
Provide evidence or context for Dante Hall's claims, or clearly label them as his personal opinion.
- 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.