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 sensational language to provoke interest at the expense of accuracy.
Phrases like 'Bronx bombshell lit the fuse', 'fiery', and 'Offset lent Cardi B an encouraging push' are sensational and aim to dramatize the narrative.
Use neutral language to describe events and individuals.
Attempting to manipulate an emotional response in place of a valid or compelling argument.
Statements like 'Cardi B won at life even before 2018' and 'Betting on herself has proved to be a winning formula time and time again' are designed to elicit an emotional response rather than present an objective argument.
Present facts and figures to support arguments without relying on emotional language.
Claims made without evidence to support them.
Joe Budden's comments about Cardi B being 'scared' are presented as a significant viewpoint without providing evidence for this claim.
Clarify that these are opinions and not substantiated facts, or provide evidence if available.
- 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.