Media Manipulation and Bias Detection
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HonestyMeter - AI powered bias detection
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PM Modi
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.
Using dramatic or sensational language to attract attention.
The use of the word 'hugged' and the detailed description of Biden holding Modi's hand can be seen as sensationalizing the interaction.
Replace 'hugged each other' with 'greeted each other'.
Remove the detailed description of Biden holding Modi's hand or simply state 'Biden welcomed Modi into his residence.'
Using language that shows a bias towards one side.
The term 'fruitful' is subjective and implies a positive outcome without providing specific details.
Replace 'fruitful' with a more neutral term like 'productive' or 'constructive'.
Provide specific details about the outcomes of the talks to support the claim.
- 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.