Media Manipulation and Bias Detection
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HonestyMeter - AI powered bias detection
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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.
The article describes the dogs' actions as 'revenge' and 'cute unboxing', which sensationalizes the event.
Use neutral language to describe the dogs' actions, such as 'Street dogs were seen tearing a car cover.'
Using emotional language to influence the audience's feelings.
The article uses phrases like 'revenge' and 'cute unboxing' to evoke emotional reactions.
Avoid using emotionally charged language and stick to factual descriptions.
Making claims without providing evidence or support.
The article suggests that the dogs' actions are a form of 'revenge' without any evidence to support this claim.
Provide evidence or context for claims made, or avoid making claims that cannot be substantiated.
Using language that shows a bias towards one side.
The article uses language that portrays the dogs' actions in a negative light, such as 'aggressively pulling and tearing'.
Use neutral language to describe the actions of the dogs.
- 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.