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!
Critics
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.
Use of exciting or shocking stories at the expense of accuracy, to provoke public interest or excitement.
The title and content of the article use sensational language to describe the sparring match and N3on's claims, which may not accurately represent the situation.
Use a more neutral title and avoid exaggerated language in the article.
A headline that is not supported by the text of the article or misrepresents the content.
The headline suggests that N3on was 'crushed' by an 11-year-old boxer, which may not accurately reflect the nature of the sparring match.
Rephrase the headline to reflect the content more accurately, such as '11-Year-Old Boxer Spars with Streamer N3on'.
Reporting that unfairly represents one side of an argument or one aspect of a situation.
The article focuses on negative aspects of N3on's claims and the sparring match without providing his perspective or any positive aspects.
Include N3on's perspective and any positive aspects of his efforts in combat training.
Attempting to manipulate an emotional response in place of a valid or compelling argument.
The article uses language that is designed to elicit a reaction from the reader, such as 'brutal reality check' and 'picked apart N3on with ease'.
Use neutral language that does not appeal to the reader's emotions.
Selectively presenting data or facts that support one side of an argument while ignoring data that contradicts it.
The article selects and emphasizes negative reactions from fans without presenting a balanced view of the situation.
Present a range of reactions, including any supportive or neutral comments about N3on.
- 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.