Media Manipulation and Bias Detection
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HonestyMeter - AI powered bias detection
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Seth Meyers
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 grab attention.
Seth Meyers on Thursday pointed to old footage of Donald Trump explaining why he likes Rep. Jim Jordan (R-Ohio.) as an example of how the former president has utterly “weirdified” the GOP.
Use neutral language to describe the situation.
The article uses biased language to favor one side over the other.
“I know everybody stopped caring about hypocrisy years ago,” acknowledged Meyers. “But just imagine how conservatives would react if Joe Biden was out on the stump talking about the body positivity of the men in the Democratic party. ‘I’ll tell you, our caucus right now is just one Gosling after the other.’”
Use neutral language to avoid favoring one side over the other.
The article uses emotional language to evoke a reaction from the reader.
“I’ll tell you, our caucus right now is just one Gosling after the other.’”
Use neutral language to present the information objectively.
- 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.