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 'seemingly never-ending striker hunt' and 'at war with Sporting president' are sensationalized to create drama.
Use more neutral language such as 'ongoing striker search' and 'disagreement with Sporting president'.
Making claims without providing evidence or sources.
The article states that Gyokeres is 'threatening to go on strike' without providing evidence or quotes from Gyokeres or his representatives.
Provide quotes or evidence from Gyokeres or his representatives to support the claim.
Using language that shows a preference for one side over another.
The article uses phrases like 'Arsenal have persistently flirted' and 'optimism Sporting may crack', which imply a bias towards Arsenal's perspective.
Use more neutral language such as 'Arsenal have shown interest' and 'there is hope Sporting may reconsider'.
- 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.