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.
Presenting information in a way that provokes strong emotions or interest, often at the expense of accuracy
The headline 'If He's At Fault, Then...' can be seen as sensationalistic, as it implies guilt before any evidence or trial.
Change the headline to a more neutral statement that accurately reflects the content.
Using language that favors one side or presents information in a subjective manner
The article uses biased language when it mentions the 'major backlash' against the Haryana CM and refers to netizens questioning his actions.
Use neutral language to describe the public response and avoid using subjective terms.
Leaving out important details that could provide a more complete understanding of the situation
The article does not provide any information about the snake venom supply case itself, such as the nature of the allegations or any evidence that has been presented.
Include relevant details about the snake venom supply case, such as the specific allegations and any evidence that has been presented.
- 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.