Media Manipulation and Bias Detection
Auto-Improving with AI and User Feedback
HonestyMeter - AI powered bias detection
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Elvish Yadav
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 article title suggests a conflict ('Takes Indirect Dig') which is not substantiated with clear evidence in the article content.
Rephrase the title to accurately reflect the content of the article without suggesting a conflict.
A headline that does not accurately reflect the content of the article.
The headline implies a direct confrontation which is not clearly presented in the article.
Adjust the headline to more accurately reflect the content of the article.
Language that is partial or prejudiced towards particular views or outcomes.
The use of words like 'smug face' and 'basking in glory' introduces a subtle bias in the portrayal of the individuals.
Use neutral language to describe the individuals and their actions.
- 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.