Media Manipulation and Bias Detection
Auto-Improving with AI and User Feedback
HonestyMeter - AI powered bias detection
CLICK ANY SECTION TO GIVE FEEDBACK, IMPROVE THE REPORT, SHAPE A FAIRER WORLD!
None
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.
Using emotional responses to sway the audience's opinion.
The article uses positive emotional language to describe the experiences and talents of the actors involved, particularly Michael Keaton and Jenna Ortega.
Include a more balanced view by presenting any challenges or criticisms faced during production.
Provide a broader range of perspectives from different stakeholders involved in the movie.
The tendency for positive impressions of a person in one area to positively influence one's opinion or feelings in other areas.
The article may be leveraging Michael Keaton's and Jenna Ortega's positive reputations to generate a favorable impression of the movies discussed.
Offer a more nuanced portrayal that acknowledges the entirety of their careers, including any less successful projects.
- 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.