Media Manipulation and Bias Detection
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HonestyMeter - AI powered bias detection
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Police
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.
The article uses sensational language to describe the robbery.
Some robbers shot and took US$21,500 from a cousin and two employees of the supermarket of the family of Antonela Roccuzzo, wife of football star Lionel Messi, in Rosario on Wednesday, according to police sources.
Use neutral language to describe the robbery.
The article fails to provide information about the motive or identity of the robbers.
The criminals fled and as of Wednesday afternoon they remained at large.
Include any available information about the motive or identity of the robbers.
The article uses biased language to describe the mayor's statement.
“The supermarket has private security. We’re waiting for the results of fingerprints and security cameras” to progress with the investigation of the theft, said police chief Diego Santamarina about the violent robbery to local journalists.
Use neutral language to describe the mayor's statement.
- 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.