Media Manipulation and Bias Detection
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HonestyMeter - AI powered bias detection
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Tribal Family
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.
Claims made without sufficient evidence or verification.
The article mentions a video going viral on social media but states that PTI could not independently verify the authenticity of the video.
Verify the authenticity of the video before reporting on it.
Include statements from reliable sources who have seen the video.
Language that may imply judgment or bias towards a particular side.
The article uses terms like 'taboo' and 'social ostracism' which may carry negative connotations about the tribal community's practices.
Use neutral language to describe cultural practices, such as 'culturally discouraged' instead of 'taboo'.
Provide context or quotes from community members to explain the cultural significance of these practices.
- 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.