Media Manipulation and Bias Detection
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HonestyMeter - AI powered bias detection
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Police/Animal Rights Activist
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.
Use of dramatic language to provoke interest at the expense of accuracy.
The phrase 'troubles with snakes seems to have no end' is sensational and implies ongoing drama.
Remove dramatic language and present the facts without implying a narrative.
Language that is partial or prejudiced towards one side.
The article uses biased language such as 'Controversial YouTuber' and 'troubles with snakes', which may lead readers to form a negative opinion of Elvish Yadav.
Use neutral language to describe the individual, such as 'YouTuber Elvish Yadav'.
Claims made without providing evidence or sources.
The statement 'he was no scared of anyone' is an unsubstantiated claim about Elvish Yadav's motives, as there is no direct quote or evidence provided to support this.
Provide evidence or a direct quote to support claims about an individual's motives or beliefs.
- 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.