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.
Use of exciting or shocking stories or language at the expense of accuracy, in order to provoke public interest or excitement.
The title 'Sandra Bullock Hits the Town With Jennifer Aniston in a Rare Sighting' uses sensationalism to make the event seem more exciting and exclusive than it may actually be.
Use a more neutral title such as 'Sandra Bullock and Jennifer Aniston Spotted Together in New York'.
Attempting to manipulate an emotional response in place of a valid or compelling argument.
The closing sentence 'And a love like that simply never dies.' is an appeal to emotion, suggesting a timeless bond without providing substantive evidence.
End the article with a factual statement about their friendship, such as 'Bullock and Aniston have maintained a close friendship over the years.'
- 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.