Media Manipulation and Bias Detection
Auto-Improving with AI and User Feedback
Bias report
HonestyMeter - AI powered bias detection
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Objectivity Score
High
Sides Objectivity Scores
Sides Representation Balance
Favored Side
Customs
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.
Detected Manipulations & Suggested Changes
Biased language
Use of language that unfairly favors one side over another.
Phrases like 'untold hardship on the citizens' and 'direct assault on the country’s economy' use emotionally charged language that may bias the reader against smugglers.
Suggested Changes
Use neutral language to describe the impact of smuggling, such as 'negative impact on the economy' instead of 'direct assault on the country’s economy'.
Appeal to emotion
Using emotionally charged language to influence the audience's feelings.
Statements like 'untold hardship on the citizens' and 'threat to the national economy and the collective wellbeing of Nigerians' are designed to evoke an emotional response.
Present the facts without emotionally charged language, focusing on the economic data and legal aspects of the issue.
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- 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.