Media Manipulation and Bias Detection
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HonestyMeter - AI powered bias detection
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US and Israel
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 dramatic and exaggerated language to provoke strong emotional responses.
Phrases like 'the most significant moment in the Middle East since the 2003 invasion of Iraq' and 'a global crisis of almost Homeric drama' are examples of sensationalism.
Use more measured language to describe the events.
Avoid hyperbolic statements that are not supported by evidence.
Using language that unfairly favors one side over another.
Terms like 'sadistic and calculating Ayatollah' and 'malignant web of violence' show a clear bias against Iran.
Use neutral language when describing individuals and actions.
Avoid using emotionally charged adjectives that imply judgment.
Making claims without providing evidence or sources.
Statements such as 'Iran is the world’s biggest sponsor of terror' and 'the nuclear programme was the radioactive jewel' lack supporting evidence.
Provide evidence or sources for claims made.
Avoid making definitive statements without backing them up with data or expert opinions.
- 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.