HonestyMeter - AI powered bias detection
CLICK ANY SECTION TO GIVE FEEDBACK, IMPROVE THE REPORT, SHAPE A FAIRER WORLD!
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
Use of sensational language to evoke strong emotions.
The phrase 'seemingly finds her soul mate' is sensational and designed to evoke a strong emotional response.
Suggested Changes
Replace with a more neutral description of their relationship.
Appeal to emotion
Manipulation using words that appeal to the reader's emotions rather than to logic or reason.
The article uses phrases like 'makes Gomez feel extremely confident' and 'she refuses to hide her body' to evoke an emotional response.
Provide factual information about their relationship without using emotionally charged language.
Anonymous sources
Reliance on unnamed sources can undermine the credibility of the information.
The article cites 'an insider' and 'a source' without revealing their identity, which makes the information less credible.
Cite named sources or provide evidence to support the claims made by anonymous sources.
- 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.