Media Manipulation and Bias Detection
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HonestyMeter - AI powered bias detection
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Author
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 use of exaggerated or shocking language to provoke strong emotions or interest.
I’m extremely disappointed at the price gouging, and now I think of the woman differently.
Instead of using exaggerated language like 'extremely disappointed', the author can express their disappointment in a more neutral tone.
Headlines that are intentionally crafted to mislead or sensationalize the content of the article.
Dear Abby: My friend sold my teen a Taylor Swift ticket, and I can’t help resenting her
The headline can be changed to accurately reflect the content of the article without using biased language.
Leaving out important details or facts that could provide a more complete understanding of the situation.
Because your neighbor sold the ticket to your daughter at three times what she paid for it, I would have to agree; she acted more like a ticket broker than a good friend.
Including the fact that the original ticket was purchased for $300 and the neighbor sold it for $900 would provide more context and a clearer understanding of the situation.
- 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.