Media Manipulation and Bias Detection
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HonestyMeter - AI powered bias detection
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Arsenal
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.
Exaggerating or sensationalizing events to attract attention.
Phrases like 'bulldozing past their parked bus' and 'dramatic point with a 93rd-minute equaliser' are examples of sensational language used to describe the match events.
Use more neutral language to describe the events, such as 'breaking through the defense' and 'scoring an equalizer in stoppage time'.
Using language that shows a preference or bias towards one side.
The article refers to Gabriel Martinelli's goal as 'heroics' and describes his impact as 'immediate', which shows a bias towards Arsenal.
Use more neutral terms like 'significant contribution' or 'effective play' to describe Martinelli's performance.
Focusing more on one side of the story, giving it more weight or attention.
The article spends more time discussing Arsenal's challenges and decisions, such as Arteta's team selection, than it does on Man City's performance.
Include more analysis of Man City's strategies and performance to provide a balanced view of both teams.
- 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.