Media Manipulation and Bias Detection
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HonestyMeter - AI powered bias detection
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Merthe Weusthuis
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 events to attract attention.
The article uses phrases like 'viral chaos' and 'riot disrupts a quiet town' which may exaggerate the impact of the event.
Use more neutral language to describe the events, such as 'unexpected large gathering' instead of 'viral chaos'.
Providing more coverage or a more favorable portrayal of one side over another.
The article focuses heavily on Merthe's perspective and her life after the event, with less emphasis on the perspectives of other involved parties.
Include more perspectives from other participants or local residents affected by the event.
- 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.