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.
Sensationalism
The article uses exaggerated language to make the event and donations seem more significant than they actually are.
The article describes the donation of VIP tickets as a 'whopping $15,000' and emphasizes the 'dark moments' in Selena Gomez's life.
Suggested Changes
Use neutral language to describe the donations and avoid exaggeration.
Omission of key information
The article fails to provide information about other participants in the charity event and their contributions.
The article mentions Selena Gomez's donation of VIP tickets and briefly mentions other auction items, but does not provide details about other participants or their contributions.
Include information about other participants in the charity event and their contributions to provide a more balanced view.
Biased language
The article uses biased language to portray Selena Gomez and her charity in a positive light.
The article describes Selena Gomez as 'inspiring' and 'working really hard every day' and uses positive language to describe her charity.
Use neutral language to describe Selena Gomez and her charity to maintain objectivity.
- 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.