HonestyMeter - AI powered bias detection
CLICK ANY SECTION TO GIVE FEEDBACK, IMPROVE THE REPORT, SHAPE A FAIRER WORLD!
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
Exaggerating or sensationalizing aspects of the story to attract readers.
The title 'Nicole Kidman makes rare comment about marriage to ex-husband Tom Cruise' is somewhat sensational as it emphasizes the rarity of her comments, which may not be as rare as implied.
Suggested Changes
Change the title to 'Nicole Kidman discusses her marriage to Tom Cruise and their work on 'Eyes Wide Shut'' to make it more neutral.
Appeal to emotion
Using emotional language or anecdotes to elicit an emotional response from the reader.
Kidman’s recounting of her emotional state after winning the Academy Award and her subsequent search for love is presented in a way that appeals to the reader's emotions.
Present Kidman's emotional state in a more factual manner, focusing on the events rather than the emotional impact.
- 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.