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!
Shakira
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 the event in an exaggerated or dramatic manner to generate interest or attention.
The article describes Gerard Pique's fall as an 'excruciatingly awkward moment' and 'embarrassing'. It also highlights the reactions of fans and the social media shade he received.
Present the event in a more neutral tone without exaggeration.
Using language that favors one side or presents a subjective opinion.
The article refers to Gerard Pique as a 'sportsman' and 'idol', while referring to fans of Shakira as 'fans of his ex-wife'.
Use neutral language to describe both Gerard Pique and Shakira.
Selectively choosing information that supports a particular narrative or viewpoint.
The article includes comments from social media that criticize Gerard Pique and support Shakira, but does not include any comments or perspectives that defend Gerard Pique or provide a balanced view.
Include a range of comments and perspectives from both sides to provide a more balanced view.
- 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.