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!
Australia
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 language that unfairly favors one side over another.
The phrase 'reward for terror' used by Israel's president could be seen as biased language, framing Australia's decision negatively without providing a balanced view.
Include a statement from an Australian official explaining the rationale behind the decision to provide balance.
Provide more context on the implications of recognizing Palestine from a neutral perspective.
Providing more coverage or emphasis on one side of an issue.
The article includes a supportive statement from the French president but does not provide a similar supportive statement from an Israeli ally.
Include statements from other countries or organizations that support Israel's perspective to balance the reporting.
Provide more detailed analysis of the potential impacts of Australia's decision on both sides.
- 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.