Media Manipulation and Bias Detection
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HonestyMeter - AI powered bias detection
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Sikh Community
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 'tarnished the image of the entire Sikh community' and 'exploited by the Khalistani extremist groups' which could be seen as biased against the Sikh community and Khalistani groups.
Use neutral language to describe the impact on the Sikh community, such as 'raised concerns about the community's image.'
Avoid attributing actions to 'Khalistani extremist groups' without specific evidence, or provide evidence to support the claim.
Claims made without sufficient evidence or support.
The article claims that 'Khalistani extremist groups have historically exploited vulnerable Sikh youth' without providing specific examples or evidence.
Provide specific examples or evidence to support the claim about Khalistani extremist groups.
Clarify the source of the information or indicate if it is an opinion rather than a fact.
- 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.