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.
Rasheed described the opposition party as 'haters' and praised Governor Adeleke as a 'pro-people leader' and a 'talk-and-do' leader.
Suggested Changes
Use neutral language to describe both parties.
Avoid using emotionally charged terms like 'haters'.
Unsubstantiated claims
Claims made without sufficient evidence or support.
Rasheed claimed that Governor Adeleke had reduced the state's infrastructure deficit by more than 45% without providing evidence.
Provide data or sources to support claims about infrastructure deficit reduction.
Appeal to emotion
Using emotional language to persuade readers rather than factual evidence.
Rasheed's statement that 'it is only haters of the people that will deny the significant infrastructure development' appeals to emotion rather than providing factual evidence.
Focus on providing factual evidence of infrastructure development rather than appealing to emotions.
- 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.