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.
Biased language
The article uses biased language to describe the criticism towards Selena Gomez, using words like 'shameful' and 'hypocrites'.
The internet wasn't happy with her return to the social media platform. They slammed the singer-actress for coming back just a few days after announcing a break. They expressed that the stars are hypocrites and don't care about what is going on around the world.
Suggested Changes
Use neutral language to describe the criticism without implying judgment.
Cherry-picking data
The article selectively presents negative comments from netizens without including any statements from Selena Gomez herself.
A post on X read, 'It's absolutely shameful that Selena Gomez lied about going on a social media break so that she can continue to promote her business endeavors but not take a minute to speak out for the 12,000+ dead in Gaza.'
Include statements or responses from Selena Gomez to provide a balanced perspective.
- 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.