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!
Kagurabachi
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 subjective language that favors one side over another.
The article states that Kagurabachi tackles identity 'better than most manga' and 'stands out from its Shonen cousins,' which implies a subjective comparison.
Provide specific examples or evidence to support the claim that Kagurabachi tackles identity better.
Avoid subjective comparisons without evidence, or clarify that it is the author's opinion.
Using emotionally charged language to persuade the audience.
Phrases like 'pushing them to the edge of their seats' and 'beautiful as well as profound' are emotionally charged and aim to evoke a specific reaction.
Use more neutral language to describe the impact of the series.
Provide specific examples of scenes or themes that evoke strong emotions, rather than using general emotional language.
- 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.