Media Manipulation and Bias Detection
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HonestyMeter - AI powered bias detection
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Protesters
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 provoke public interest or excitement.
The article emphasizes the 'massive protest' and 'clashes with police' without providing detailed information about the scale or reasons behind the protest.
Provide more context about the reasons for the protest and the demands of the protesters.
Include statements from protest leaders, police, and government officials to provide a balanced view.
Focusing on one side of the story without giving equal coverage to other perspectives.
The article highlights the actions of the protesters and the resulting violence but does not include responses or statements from the police or government officials.
Include quotes or statements from police and government representatives to provide their perspective on the events.
Discuss the potential implications of the protest and the demands for statehood and inclusion under the Sixth Schedule.
- 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.