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.
Using shocking or sensational language to provoke interest or excitement.
The headline 'Watch Live: First hearing on the attempted assassination of Donald Trump' uses sensational language. The term 'assassination' is highly charged and can provoke strong emotional reactions.
Use a more neutral headline such as 'Watch Live: First hearing on the alleged attack on Donald Trump'.
Headlines that do not accurately reflect the content of the article.
The headline suggests that the article will provide live coverage of the hearing, but the content only lists the names of those who will testify and provides a link to the live stream.
Ensure the headline accurately reflects the content, such as 'List of witnesses for the first hearing on the alleged attack on Donald Trump'.
- 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.