Media Manipulation and Bias Detection
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HonestyMeter - AI powered bias detection
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Palestinian clan
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.
Claims made without sufficient evidence or verification.
Reports circulating on social media – difficult to independently verify – claim that more than 11 Hamas members were killed.
Provide verified sources for the claims or clearly state the lack of verification.
Avoid presenting unverified claims as facts.
Use of dramatic or exaggerated language to provoke interest or excitement.
The phrase 'face all Hell' used in the context of Trump's ultimatum to Hamas.
Use neutral language to describe the ultimatum.
Avoid using dramatic phrases that may exaggerate the situation.
Language that shows a preference or prejudice for or against a particular side.
The article suggests that Hamas faces anger from 'many opponents whom it has humiliated during its 17 years in power.'
Provide balanced perspectives from both sides involved.
Avoid language that implies judgment or bias.
- 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.