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
Use of exciting or shocking stories at the expense of accuracy, to provoke public interest or excitement.
The title and content focus on the 'struggle to recognize' Psalm, which is designed to provoke curiosity and surprise.
Suggested Changes
Use a more neutral title and tone, such as 'Kim Kardashian's son Psalm appears in a family video'.
Appeal to emotion
Attempting to manipulate an emotional response in place of a valid or compelling argument.
The article emphasizes the emotional reactions of fans and Kim's personal story about reincarnation to engage readers.
Provide a more factual recount of the event without emphasizing emotional reactions.
Anecdotal evidence
Using personal experience or an isolated example instead of a sound argument or compelling evidence.
Kim Kardashian's story about the blind medium in Bali and the nurse's encounter are anecdotal and presented without skepticism.
Acknowledge that these stories are anecdotal and do not constitute evidence of reincarnation.
- 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.