Media Manipulation and Bias Detection
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HonestyMeter - AI powered bias detection
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NYT Strands Game
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 subjective language that reflects personal opinions.
The article states, 'There’s a couple of brilliant words in today’s Strands that feel as if they belong in boy’s comics from the 1950s and have not been heard much since – GOBSMACK and FLABBERGAST.' This reflects the author's personal opinion about the words.
Replace subjective language with neutral descriptions, e.g., 'Today's Strands includes words such as GOBSMACK and FLABBERGAST, which have historical origins.'
- 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.