Media Manipulation and Bias Detection
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HonestyMeter - AI powered bias detection
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Nikki Haley
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 superlatives and dramatic language to provoke interest.
"Every one of you is going to cast the most important vote of your entire life." - This statement by Trump is sensational as it exaggerates the importance of a single vote.
Avoid using superlatives and present the event as one of many important votes in a citizen's life.
Language that is partial or prejudiced towards one side.
The phrase "So embarrassing," in reference to a voter's past choice, introduces a personal judgment that may not be shared by all readers.
Remove subjective comments to maintain neutrality.
Leaving out information that is important for understanding the full context.
The article does not provide information on other candidates or perspectives from Democratic voters, which could be relevant to the context of the New Hampshire primary.
Include information about other candidates and perspectives from voters of different political affiliations.
- 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.