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 sensational language to make the divorce seem more dramatic and messy than it may actually be.
Kevin Costner and his estranged wife Christine Baumgartner have settled their messy divorce.
Suggested Changes
Change 'messy' to 'ongoing' to provide a more neutral description of the divorce.
Biased language
The article uses biased language to portray Kevin Costner in a more sympathetic light.
“Kevin is relieved that this matter has been settled and will continue to focus solely on jointly raising their three children,” a source tells PEOPLE.
Remove the phrase 'Kevin is relieved' to provide a more neutral description of his feelings.
Appeal to emotion
The article includes emotional quotes from Kevin Costner and portrays him as a victim of the divorce.
"It is with great sadness that circumstances beyond his control have transpired which have resulted in Mr. Costner having to participate in a dissolution of marriage action," Costner’s publicist Arnold Robinson said in a statement.
Remove the phrase 'It is with great sadness' to provide a more neutral description of Costner's feelings.
- 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.