Media Manipulation and Bias Detection
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HonestyMeter - AI powered bias detection
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Dwayne Johnson
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.
Presenting information in a way that is intended to provoke excitement, shock, or interest.
The article uses sensational language to describe Dwayne Johnson's visit to Capitol Hill and his potential run for president.
Use more neutral language to describe the events.
Selectively choosing data or evidence that supports a particular viewpoint while ignoring contradictory data or evidence.
The article selectively quotes tweets from Senator Jon Tester and the US Capitol Police to support the narrative of Dwayne Johnson's visit being significant.
Include a wider range of perspectives and sources to provide a more balanced view.
Using language that favors one side or viewpoint over another.
The article uses biased language to describe Dwayne Johnson's potential run for president, such as 'crazy' and 'wild'.
Use more neutral language to describe Dwayne Johnson's political aspirations.
- 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.