Media Manipulation and Bias Detection
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HonestyMeter - AI powered bias detection
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Victim and Family
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 quotes in a way that may misrepresent the original meaning.
The article states 'news agency PTI quoted police as saying' without providing the full context of the police statement.
Provide the full statement from the police to ensure the context is clear.
Using emotional language to influence the audience's perception.
The article mentions 'several women staged a protest, demanding stringent action against the accused,' which may evoke an emotional response from the reader.
Include factual information about the protest, such as the number of participants and any official statements, to provide a 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.