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 superlatives and hyperbolic statements to create a sensation.
The phrase 'LeBron James Praise Pile' and 'this is the best player in the league right now' are sensationalistic, as they exaggerate the situation for effect.
Rephrase to 'LeBron James received positive feedback' and 'this is a top player in the league right now'.
Use of language that implies a subjective opinion or preference.
The article uses biased language when describing GloRilla's reaction, such as 'heaped more praise' and 'rained on her parade', which could imply a subjective tone rather than an objective report.
Use neutral language such as 'GloRilla commented on' and 'Sharpe added a differing opinion'.
- 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.