Media Manipulation and Bias Detection
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HonestyMeter - AI powered bias detection
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Argentina
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 events.
There were incredibly ugly scenes at the Maracana Stadium before the World Cup qualifier kicked off, with police charging at the visiting supporters during the Brazilian national anthem. Some fans were left bloodied and bruised and needed medical assistance.
Use neutral language to describe the events.
Provide more context and details about the incident.
The article uses biased language to favor Argentina.
Speaking to reporters after the game, Messi said: 'We saw how the police were hitting people, also with some of our families here too.'
Use neutral language to present Messi's statement.
Include statements from both sides to provide a balanced perspective.
The article fails to provide information about the actions of the Argentina players during the incident.
At a point, Argentina goalkeeper, Emi Martinez was even seen trying to grab a baton out of the hand of one of the policemen.
Include information about the actions of both sides during the incident.
Provide a more comprehensive account of the events.
- 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.