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 events to attract attention.
Quotes from residents such as 'I thought we got nuked or something' and 'the flames looked like they were 300-foot' contribute to sensationalism.
Provide a more measured account of residents' reactions without hyperbolic language.
Include more balanced quotes that reflect the actual scale of the incident.
Using emotional responses to influence the audience.
The quotes from residents evoke fear and anxiety, such as 'I thought we got nuked or something.'
Include factual information about the safety measures in place to reassure readers.
Balance emotional quotes with statements from experts or officials to provide context.
- 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.