Media Manipulation and Bias Detection
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HonestyMeter - AI powered bias detection
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Prosecution
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 emotional language to influence the audience's perception.
The article uses phrases like 'felt pressured, intimidated and scared', 'burst into tears', and 'emotional fallout' to describe the woman's experience, which can evoke strong emotional responses from the reader.
Use more neutral language to describe the woman's experience, focusing on the facts presented in court rather than emotional descriptions.
Using language that unfairly favors one side over the other.
The article describes the woman's testimony with words like 'genuine' and 'transparent', which could imply a bias towards believing her account.
Present the woman's testimony in a more neutral manner, without using adjectives that suggest credibility or authenticity.
- 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.