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.
Appeal to emotion
Using emotional language to elicit an emotional response from the reader.
Phrases like 'Eyewitnesses reportedly thought he was dead' and 'His mouth was filled with blood' are designed to evoke a strong emotional reaction.
Suggested Changes
Replace emotionally charged language with neutral descriptions. For example, 'Eyewitnesses were concerned about his condition' and 'He had visible injuries.'
Unbalanced reporting
Focusing more on one side of the story while neglecting the other.
The article focuses heavily on Brad Pitt's reactions and emotions, with less emphasis on Pax's perspective or statements from him.
Include more information or statements from Pax or his representatives to provide a balanced view.
Selective use of sources
Using specific sources that support a particular narrative while ignoring others.
The article cites sources like TMZ and Entertainment Tonight, which may not be the most reliable or balanced sources.
Include information from a wider range of sources, including more neutral or authoritative ones.
- 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.