Media Manipulation and Bias Detection
Auto-Improving with AI and User Feedback
HonestyMeter - AI powered bias detection
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Stephen A. Smith
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.
Presenting information in a way that is intended to provoke strong emotions or interest
The article uses sensational language to describe President Biden's age and alleged 'flagrant slippage.'
Use neutral language to describe President Biden's age and performance.
Using language that favors one side or opinion over another
The article uses biased language to describe Vice President Kamala Harris and the Democratic Party.
Use neutral language to describe Vice President Kamala Harris and the Democratic Party.
Leaving out important details that could provide a more balanced perspective
The article does not provide any counterarguments or perspectives from supporters of President Biden or the Democratic Party.
Include counterarguments or perspectives from supporters of President Biden or the Democratic Party.
- 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.