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.
Use of exciting or shocking stories at the expense of accuracy, to provoke public interest or excitement.
The title and phrases like 'VERY HAPPY', 'hurt peoples feelings', 'SPECTACULAR' are sensational.
Use a more neutral title, such as 'Oprah Winfrey Enjoys Seating Arrangement at Golden Globes'.
Avoid using all caps and overly dramatic language in the content.
A headline that is not supported by the content of the article or misrepresents it.
The headline suggests a strong emotional response from Oprah Winfrey, which is not supported by the article content.
Align the headline with the content of the article to accurately reflect the story.
Attempting to manipulate an emotional response in place of a valid or compelling argument.
The use of language like 'VERY HAPPY' and 'SPECTACULAR' is designed to elicit an emotional response.
Present information in a more objective manner without using language that aims to evoke an emotional response.
- 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.