Media Manipulation and Bias Detection
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HonestyMeter - AI powered bias detection
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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 dramatic language to provoke interest or excitement at the expense of accuracy.
The title 'Sleep ‘decimated’ by Dublin gay bar blasting Whitney Houston and Celine Dion, neighbour tells court' uses sensational language by choosing the word 'decimated' which may exaggerate the neighbor's experience for dramatic effect.
Use a more neutral term such as 'disturbed' instead of 'decimated' to describe the neighbor's sleep.
Attempting to manipulate an emotional response in place of a valid or compelling argument.
Phrases like 'thumping' club music, 'like an earthquake', and 'The walls were shaking' are used to evoke a strong emotional response from the reader, potentially leading to sympathy for the neighbor's situation.
Provide a more objective description of the noise level, such as 'measured at X decibels', instead of using emotive language.
- 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.