Media Manipulation and Bias Detection
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HonestyMeter - AI powered bias detection
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Hasbulla
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.
The article uses biased language to favor Hasbulla and portray Conor McGregor in a negative light.
The article refers to Hasbulla as an 'internet sensation' and a 'viral sensation,' while referring to McGregor as Hasbulla's 'arch-rival' and using phrases like 'dislike for his arch-rival Conor McGregor.'
Use neutral language to describe both Hasbulla and Conor McGregor.
The article uses sensationalism to grab attention and create drama.
The article mentions that being called a chicken in Russia is considered extremely insulting, implying that Hasbulla's insult towards McGregor is significant.
Avoid using sensational language and focus on providing objective information.
The article lacks balance in presenting both sides of the story.
The article focuses more on Hasbulla's perspective and insults towards McGregor, while providing limited information about McGregor's side or response.
Include more information about McGregor's perspective and response 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.