Media Manipulation and Bias Detection
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HonestyMeter - AI powered bias detection
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Massachusetts Attorney General
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.
Use of language that subtly favors one side over the other.
The phrase 'Meta has chosen not to take “real steps” to address safety concerns' implies a negative judgment on Meta's actions without providing evidence.
Rephrase to 'Critics argue that Meta's steps to address safety concerns are insufficient.'
Claims made without sufficient evidence or support.
The article states that 'Meta designed features on Facebook and Instagram to make them addictive to young users' without providing direct evidence or studies to support this claim.
Include references to specific studies or evidence that support the claim of addiction.
- 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.