Media Manipulation and Bias Detection
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HonestyMeter - AI powered bias detection
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Politicians
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 unfairly favors one side over another.
Phrases like 'Israel's genocide in Gaza' and 'complicit and active participants' are examples of biased language.
Use neutral language such as 'actions in Gaza' instead of 'genocide'.
Avoid accusatory language like 'complicit and active participants' without evidence.
Claims made without supporting evidence.
The statement 'our tax dollars are being spent killing innocent Palestinians' is made without evidence.
Provide evidence or sources to support claims about tax dollars being used in this manner.
Clarify the basis of the claim or remove it if evidence cannot be provided.
Leaving out important facts that are necessary for a full understanding of the issue.
The article does not provide context or information about the broader conflict or actions from both sides.
Include information about the broader context of the conflict.
Present perspectives from both sides to provide a balanced view.
- 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.