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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Security Forces
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.
Using shocking or fear-inducing language to attract attention.
The article uses phrases like 'bustling lanes of downtown Kanpur' and 'unusual silence' to create a dramatic setting. It also describes the situation as a 'deep-rooted resurgence of radicalisation' and 'systemic failures' without providing balanced context.
Provide a more neutral description of the setting and avoid dramatic language.
Include more balanced perspectives on the issue of radicalisation.
Focusing more on one side of the story while neglecting the other.
The article heavily focuses on the actions and failures of security forces and the accused individuals without providing sufficient context or perspectives from community leaders or other stakeholders.
Include quotes or perspectives from community leaders or experts on deradicalisation.
Provide more context on the efforts being made to address the issue.
Using language that unfairly favors one side over another.
The article uses terms like 'terror-mongers' and 'breeding grounds for radicalisation' which can be seen as biased against certain communities or groups.
Use more neutral language when describing individuals or groups.
Avoid terms that could be perceived as inflammatory or biased.
- 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.