Media Manipulation and Bias Detection
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HonestyMeter - AI powered bias detection
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Elvish Yadav
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 sensational language to create drama and attract attention.
The article describes Elvish Yadav as being accused of using snake venom for illegal rave parties, which is a sensational claim without providing any evidence or context.
Stick to factual information and avoid using exaggerated language.
The article uses biased language to favor certain individuals or groups.
The article refers to Manisha Rani as Elvish Yadav's 'accomplice' without providing any evidence or balanced perspective.
Use neutral language and provide evidence or balanced perspectives when making claims.
The article omits important information that could provide a more balanced perspective.
The article does not mention any counterarguments or perspectives from Elvish Yadav or Manisha Rani, which leads to a one-sided presentation of the story.
Include statements or perspectives from all parties involved to provide a more 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.