Media Manipulation and Bias Detection
Auto-Improving with AI and User Feedback
HonestyMeter - AI powered bias detection
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Stephen Colbert
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.
The article uses sensational language to make the story more interesting or exciting.
Stephen Colbert spotted an unusual move by Donald Trump Jr. as he testified in the New York fraud trial this week.
Remove sensational language and stick to the facts of the story.
The article uses language that shows a preference or bias towards a particular side.
Colbert said, then offered up how it might’ve gone: “Hey, what are you doing later? I’m free after 5... maybe 4 with good behavior.”
Use neutral language that does not show bias towards any side.
The article uses emotional language or anecdotes to manipulate the reader's feelings.
“It takes a lot of balls to hit on a sketch artist during your own trial,” Colbert said.
Stick to the facts and avoid using emotional language.
- 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.