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 unfairly favors one side over another.
The article describes the APC primary as 'marred by violence' and uses terms like 'thugs' and 'hijack' which can be seen as biased without providing sufficient evidence or context.
Suggested Changes
Provide more neutral language when describing the events, such as 'disrupted by individuals' instead of 'thugs'.
Include direct quotes or evidence to support claims of violence and collusion.
Unbalanced reporting
Providing more coverage or a more favorable portrayal of one side over others.
The article provides detailed accounts of the APC primary issues but gives less attention to the processes and outcomes of the APGA and Labour Party primaries.
Include more detailed information about the APGA and Labour Party primaries, such as challenges faced or comments from participants.
Ensure equal coverage of all parties involved to provide a balanced view.
- 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.