Media Manipulation and Bias Detection
Auto-Improving with AI and User Feedback
- Objectivity Score
- Objectivity Score
- Objectivity Score
- Objectivity Score
- Objectivity Score
- Objectivity Score
Media Manipulation and Bias Detection
Auto-Improving with AI and User Feedback
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.
Exaggerating events to create a more dramatic effect.
Phrases like 'never in 30 years have there been scenes like that in Middlesbrough' and 'scores damaged and window after window smashed in' are examples of sensationalism.
Provide specific details and statistics to support the claims.
Avoid using hyperbolic language.
Using language that unfairly favors one side over another.
The article uses terms like 'anti-immigration marchers' and 'intent on attacking the police and property' which can be seen as biased against the protesters.
Use neutral language to describe both sides.
Avoid implying intent without evidence.
Giving more coverage or a more favorable portrayal to one side.
The article focuses heavily on the police perspective and actions, with less emphasis on the protesters' viewpoint or reasons for the protest.
Include statements or perspectives from the protesters.
Provide context for the protest to give a more balanced view.
Using authority figures to support an argument without providing evidence.
Statements like 'The government, the Prime Minister, the courts and the police all agree' rely on authority figures without presenting supporting evidence.
Provide evidence or data to support the claims made by authority figures.
Avoid relying solely on authority figures to make a point.
Leaving out important details that could provide a fuller understanding of the situation.
The article does not provide information on the reasons behind the protest or the perspectives of the protesters.
Include background information on the protest and the protesters' motivations.
Provide quotes or statements from protesters to give a more complete picture.
- 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.