Media Manipulation and Bias Detection
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HonestyMeter - AI powered bias detection
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Little Palace
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.
Use of emotionally charged language that may sway the reader's opinion.
Phrases like 'gut-wrenching for locals' and 'a freakin' shame' introduce emotional bias.
Replace emotionally charged phrases with neutral descriptions, such as 'disappointing for locals' or 'unfortunate situation.'
Failure to include important information that could provide a more balanced view.
The article does not include comments from Mason Equity, which could provide their perspective on the lease situation.
Include a statement or attempt to get a comment from Mason Equity to provide their side of the story.
- 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.