Media Manipulation and Bias Detection
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HonestyMeter - AI powered bias detection
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Aqil Akhtar's 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.
Exaggerating or sensationalizing details to attract attention.
The article uses phrases like 'deepening the mystery' and 'serious turn' which sensationalize the situation without providing substantial evidence.
Use neutral language to describe the developments in the case.
Focus on verified facts rather than dramatic language.
Presenting claims without sufficient evidence.
The article mentions grave allegations and a viral video without providing evidence or verification of these claims.
Include statements from reliable sources or evidence to support the claims.
Clarify the status of the investigation into these allegations.
Using language that unfairly favors one side over another.
The article presents the family's perspective more prominently, potentially leading to bias.
Provide equal coverage to the police investigation and other perspectives.
Use neutral language when describing all parties involved.
- 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.