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 exciting or shocking stories at the expense of accuracy, to provoke public interest or excitement.
The article's title and content use sensational language to describe the fanbase feud, which may not be as significant as portrayed.
Use a more neutral tone and avoid language that exaggerates the significance of the fanbase feud.
Language that is biased or contains value judgments.
Phrases like 'weak a-- snippet' and 'Big Foot was spotted on Spotify chart' show a lack of neutrality and introduce bias into the reporting.
Replace biased phrases with neutral descriptions of the events or statements made by the individuals involved.
Attempting to manipulate an emotional response in place of a valid or compelling argument.
The article asks readers 'How do you feel about the situation?' and 'Whose side are you on?' which encourages emotional engagement rather than objective analysis.
Refrain from asking leading questions that prompt emotional responses and instead present facts for the reader to make an informed decision.
- 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.