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.
Using emotive language to elicit an emotional response rather than presenting information objectively.
The phrases 'angels -- when you walk on and you hear them sing, it's like you've gone to heaven' and 'Permanently and preferably intertwined' are examples of appeal to emotion, as they use highly emotive language to describe the experience of working with Grande and Erivo.
To make the content more objective, replace emotive descriptions with more neutral language, such as 'Grande and Erivo are highly praised for their vocal performances' and 'The collaboration among the cast members was closely knit.'
The use of exciting or shocking stories or language at the expense of accuracy, in order to provoke public interest or excitement.
The use of the word 'imperative' to describe Yeoh's participation in the cast could be seen as sensational, as it implies a level of urgency or necessity that may not be strictly factual.
To avoid sensationalism, the article could state that 'Grande and Erivo expressed strong enthusiasm for Yeoh's participation in the project.'
- 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.