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.
Sensationalism
Use of exaggerated or shocking language to provoke public interest or excitement.
Phrases like 'new war', 'our land is under siege', and 'enough is enough' are used to create a sense of urgency and fear.
Suggested Changes
Use more measured language to describe the security situation.
Provide specific examples and data to support claims of invasion and siege.
Biased language
Use of language that unfairly favors one side over another.
The article uses terms like 'real pan-Yoruba groups' and 'religious extremists' without providing a balanced view or evidence.
Include perspectives from the groups being criticized or accused.
Avoid using loaded terms without evidence or context.
Unsubstantiated claims
Claims made without sufficient evidence or support.
Statements about the recruitment of Amotekun being politicized and the zone being encircled by terrorists lack evidence.
Provide evidence or sources to support claims about recruitment and encirclement.
Include counterarguments or responses from those accused.
- 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.