Media Manipulation and Bias Detection
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HonestyMeter - AI powered bias detection
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BJP/NDA
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.
Phrases like 'insulting Prime Minister Narendra Modi' and 'jungle raj' are used to portray the opposition negatively, while terms like 'clean governance' and 'development' are used to praise the BJP/NDA.
Use neutral language when describing actions and policies of both sides.
Avoid emotionally charged terms like 'jungle raj' and 'insulting'.
Claims made without evidence or support.
Statements such as 'Congress committed corruption worth Rs 12 lakh crore' and 'neither has been accused of even a penny’s worth of corruption' lack evidence or references.
Provide evidence or references to support claims of corruption.
Include counterarguments or responses from the accused parties.
Using emotional appeals to sway the audience.
Statements like 'the vermilion of Lakhisarai is not just vermilion; it is a symbol of the good fortune of our mothers and sisters' are designed to evoke emotional responses.
Focus on factual information rather than emotional appeals.
Provide balanced perspectives on the issues discussed.
- 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.