HonestyMeter - AI powered bias detection
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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.
Sensationalism
Use of hyperbolic or provocative language to increase interest.
The phrase 'light spoilers up ahead! Proceed with caution if you're hoping to go into Deadpool 3 knowing as little as possible!' is designed to create a sense of urgency and excitement.
Suggested Changes
Remove the sensationalist language and simply state that the following content contains minor spoilers.
Appeal to emotion
Attempting to manipulate an emotional response in place of a valid or compelling argument.
The article ends with a call to action, asking readers to share their thoughts and engage with the writer on Twitter, which can create a sense of community and excitement but also serves to promote the writer's social media presence.
Provide a neutral closing statement that does not encourage social media engagement.
- 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.