Media Manipulation and Bias Detection
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Bias report
HonestyMeter - AI powered bias detection
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Objectivity Score
Medium
путін заявив, що переговори з Україною будуть «нелегітимними». Зеленський відповів, що кремль боїться говорити.
Sides Objectivity Scores
Sides Representation Balance
Favored Side
Zelensky
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
Using language that unfairly favors one side over another.
The article refers to the channel as 'пропагандистському каналі', which implies a bias against the Russian perspective.
Suggested Changes
Use neutral language to describe the channel, such as 'state-run channel'.
Omission of key information
Leaving out important details that could provide a fuller understanding of the situation.
The article does not provide context on why Zelensky's decree was made or the historical background of the negotiations.
Include background information on the reasons behind Zelensky's decree and the history of negotiations between the two countries.
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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.