Media Manipulation and Bias Detection
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HonestyMeter - AI powered bias detection
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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 or sensationalizing information to attract attention.
The article mentions 'millions of Gmail users who panicked' and 'massive data breach' which could be seen as sensationalizing the situation.
Use more neutral language such as 'concerned' instead of 'panicked'.
Avoid using terms like 'massive data breach' without clear evidence.
Giving more weight to one side of the story.
The article heavily focuses on Google's denial and does not provide detailed information from the media outlets that reported the breach.
Include more details from the media outlets' perspective to provide a balanced view.
Present quotes or statements from the media outlets to understand their reasoning.
- 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.