Media Manipulation and Bias Detection
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HonestyMeter - AI powered bias detection
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Labour PM Jonas Gahr Store
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.
Exaggerating or sensationalizing aspects of the story to attract attention.
The headline and content emphasize the 'populist surge' and 'anti-immigration' stance of the Progress Party, which could be seen as sensationalizing the political context.
Provide a more balanced view by including more context about the policies and platforms of both parties.
Avoid using terms like 'populist surge' without providing specific data or examples to support the claim.
Using language that unfairly favors one side over another.
The article describes the Progress Party as 'anti-immigration,' which may carry a negative connotation without further explanation or context.
Use neutral language to describe the Progress Party's stance, such as 'advocating for stricter immigration policies.'
Include quotes or statements from the Progress Party to provide their perspective on immigration.
- 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.