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.
The article provides more detailed coverage of the protesters' perspective and less on the government's actions and statements.
The article mentions the government's response and apology but does not provide detailed information on the measures they plan to implement or any previous efforts to address the issues.
Include more detailed information on the government's planned measures to address the issues.
Provide a balanced view by including statements from government officials or experts on the situation.
The article relies on sources that emphasize the protesters' perspective and downplays the government's viewpoint.
The article cites the UN and media sources about the casualties and the government's rejection of these figures but does not provide a detailed government response or alternative data.
Include a broader range of sources, including official government statements or reports.
Present alternative data or perspectives to provide a more balanced view.
- 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.