Media Manipulation and Bias Detection
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HonestyMeter - AI powered bias detection
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Freddie Mercury
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 evoke strong emotions in the reader.
Freddie Mercury’s selfless last note to Elton John left him in tears ‘I was overcome’
Change the headline to a more neutral tone.
Avoid using emotional language in the article.
The article uses biased language to favor one side over the other.
Freddie Mercury and Elton John had a very close friendship and the Rocketman singer was one of a few who saw the late star in his final days battling AIDS.
Use neutral language to describe the friendship between Freddie Mercury and Elton John.
The article uses emotional anecdotes to manipulate the reader's feelings.
Freddie also spent his final days purchasing sweet Christmas presents with notes to be delivered after he died, a surprise that left Sir Elton in tears.
Present the information about Freddie's Christmas presents in a more neutral manner.
- 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.