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.
Biased language
Use of language that favors one side over another.
Phrases like 'strengthening President Bola Tinubu’s grip' and 'rendered itself powerless by surrendering its authority to the President' suggest a bias towards portraying the APC's dominance as overwhelming and the opposition as weak.
Suggested Changes
Use neutral language to describe the political dynamics, such as 'increasing influence' instead of 'strengthening grip'.
Avoid language that implies the opposition has 'surrendered' and instead describe the numerical changes objectively.
Unbalanced reporting
Providing more coverage or emphasis on one side of an issue.
The article focuses heavily on the implications of defections for the APC's dominance, with less emphasis on the opposition's strategies or responses.
Include more quotes or perspectives from opposition members to provide a balanced view.
Discuss potential strategies or responses from the opposition to counter the defections.
- 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.