Media Manipulation and Bias Detection
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HonestyMeter - AI powered bias detection
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Apple
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 a dramatic effect.
Robert De Niro slammed Apple and the Gotham Film & Media Institute this week after claiming his speech for the Gotham Awards had been censored
Use neutral language to describe the situation.
The article uses biased language that favors Robert De Niro's perspective.
The actor appeared onstage for the presentation of the Gotham Historical Icon and Creator Tribute to Martin Scorsese’s , a film distributed by Apple that focuses on a series of murders targeting the Osage people in Oklahoma during the 1920s after oil was discovered on tribal land.
Use neutral language to describe the film and its distribution.
The article fails to provide important details about the alleged censorship incident.
Robert De Niro said there was a mistake on the teleprompter, before realizing that…
Include more information about the alleged censorship incident and its context.
- 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.