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 by referring to Lady Gaga as a 'pop legend' and 'iconic singer-songwriter', which can create a positive bias towards her.
Pop legend and unapologetic LGBTQ+ advocate Lady Gaga...
Suggested Changes
Refer to Lady Gaga using neutral language.
Appeal to authority
The article uses an appeal to authority by mentioning Lady Gaga's status as an LGBTQ+ advocate to support her stance on trans rights.
Pop legend and unapologetic LGBTQ+ advocate Lady Gaga has come out swinging for trans rights...
Provide additional evidence or arguments to support the importance of trans rights.
Omission of key information
The article omits key information about the specific anti-LGBTQ+ bills and their impact on trans rights in the United States.
According to the Human Rights Campaign (HRC), over 550 anti-LGBTQ+ bills have been introduced in the US in 2023 so far...
Include specific examples of anti-LGBTQ+ bills and their impact on trans rights.
- 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.