HonestyMeter - AI powered bias detection
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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.
Sensationalism
The article uses sensational language to grab attention and create excitement.
Hollywood's top actors, including George Clooney, Tyler Perry, Scarlett Johansson and Ben Affleck talk pledge to pump $150million to actors' union to help end the strike
Suggested Changes
Use a more neutral tone to present the information without exaggeration.
Biased language
The article uses biased language to favor certain actors and their actions.
The stars proposed scrapping the cap on membership fees which would see them put in an additional $50 million per year
Use neutral language to describe the actors' proposal without favoring their actions.
Omission of key information
The article fails to provide details about the specific demands of the union and the reasons behind the ongoing strike.
The stars were among a quorum of Hollywood's biggest names such as Scarlett Johansson, Tyler Perry and Ben Affleck, who met with leaders of SAG-AFTRA on Tuesday to outline the plans.
Include information about the specific demands of the union and the reasons for the strike to provide a more balanced perspective.
- 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.