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 emphasizing certain aspects to attract attention.
The headline 'Some Think I'm Arrogant But...' is designed to provoke curiosity and may exaggerate the perception of arrogance.
Use a more neutral headline such as 'Sam Konstas Discusses His On-Field Behavior'.
Using emotional language to influence the audience.
Statements like 'I want everyone to remember Sam Konstas' and 'People would text me and say, ‘I’m watching cricket again because of you’' are designed to evoke an emotional response.
Focus on factual recounting of events and reactions without emphasizing emotional responses.
- 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.