Media Manipulation and Bias Detection
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HonestyMeter - AI powered bias detection
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Government
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.
Leaving out important details that could provide a more comprehensive view of the situation.
The article does not mention any challenges or criticisms related to the PM Kisan Samman Nidhi Yojana, such as issues with fund distribution or the impact on farmers' livelihoods.
Include information about any challenges or criticisms faced by the PM Kisan Samman Nidhi Yojana.
Provide data or statements from independent sources to verify the claims made about the scheme's success.
Using language that unfairly favors one side over another.
The article uses phrases like 'immense satisfaction and pride' and 'landmark initiative' which are subjective and promote a positive view of the government without presenting a balanced perspective.
Use neutral language to describe the PM Kisan Samman Nidhi Yojana.
Include quotes or perspectives from farmers or independent experts 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.