Media Manipulation and Bias Detection
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HonestyMeter - AI powered bias detection
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Tejashwi 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.
Use of language that unfairly favors one side over another.
The article uses phrases like 'champions of the constitution and social harmony' to describe Tejashwi Yadav's alliance, which implies a positive bias.
Use neutral language to describe both sides.
Avoid using terms that imply judgment or bias.
Providing more coverage or favorable coverage to one side over another.
The article focuses more on Tejashwi Yadav's promises and criticisms of the NDA without providing a balanced view of the NDA's perspective or response.
Include responses or statements from the NDA to provide a balanced view.
Ensure equal coverage of both sides' perspectives.
Using emotional appeals to sway the audience.
The promises of permanent jobs and reduced gas prices are emotionally appealing to the electorate, which can sway opinions without providing detailed plans.
Provide detailed plans or data to support the promises made.
Focus on factual reporting rather than emotional appeals.
- 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.