Media Manipulation and Bias Detection
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HonestyMeter - AI powered bias detection
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Tom Hanks
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 create excitement and draw attention.
Tom Hanks has predicted that the first woman and non-white man from the US will step on to the moon in the next “three to four years”.
Change the language to be more neutral and factual.
The article uses biased language to favor Tom Hanks and his perspective.
Hanks brings to life Apollo missions also using Nasa footage and images from Andy Saunders’ photographic book Apollo Remastered.
Use neutral language to describe the use of NASA footage and images.
The article relies on Tom Hanks' status as an Oscar-winning actor and his involvement in space-related projects to lend credibility to the statements.
Hanks previously played astronaut Captain Jim Lovell in Apollo 13, served on the board of governors of the National Space Society and has been honored by the Space Foundation.
Provide additional sources or evidence to support the statements.
- 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.