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.
Exaggerating or focusing on shocking elements to attract attention.
The article emphasizes the 'viral' nature of the photo and the 'intense debate' it has sparked, which may not be as significant as portrayed.
Provide more context about the reactions and their significance.
Include balanced perspectives on the photo's impact.
Using emotional triggers to influence the audience's perception.
The description of the politician 'seemingly begging' and the 'worrying trend' in politics is designed to evoke an emotional response.
Use neutral language to describe the politician's actions.
Focus on factual analysis of the situation rather than emotional implications.
Making claims without providing evidence.
The article claims that candidates enrich themselves after being elected without providing evidence or examples.
Provide evidence or examples to support the claim.
Avoid making claims without substantiation.
- 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.