Media Manipulation and Bias Detection
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HonestyMeter - AI powered bias detection
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Letitia James
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 contains biased language that favors one side over the other.
In seeking to short-circuit the case, Mr Trump’s lawyer Christopher Kise argued that state lawyers had failed to meet “any legal standard” to prove allegations of conspiracy, insurance fraud and falsifying business records.
Use neutral language when describing the arguments made by both sides.
Avoid using subjective terms that may influence the reader's perception.
The article selectively uses sources to support one side's arguments.
Mr Kise emphasised that lender Deutsche Bank made its own adjustments to the asset values listed on Mr Trump’s financial statements, giving “haircuts” to the estimates for Trump Tower and other properties, and decided to lend him hundreds of millions of dollars anyway.
Include information from other sources to provide a more balanced perspective.
Present the arguments of both sides without favoring one over the other.
- 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.