Media Manipulation and Bias Detection
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HonestyMeter - AI powered bias detection
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NYPD
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 exaggerates or sensationalizes the situation.
The article refers to the festival as 'raucous' and mentions 'headlines about bloodshed or chaos,' which could sensationalize the event.
Use neutral language to describe the festival, such as 'lively' instead of 'raucous.'
Avoid implying that violence is a certainty by focusing on the positive aspects of the festival.
Failure to present important perspectives or information.
The article does not include perspectives from festival-goers or community members about the police presence.
Include quotes or perspectives from festival-goers or community leaders about their views on the police deployment.
Provide more context on how the community perceives the festival and the police presence.
- 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.