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 sensational language to create excitement or interest.
Phrases like 'the most epic Olympics ever' and 'smoke the competition' add a sensationalist tone to the article.
Avoid using hyperbolic phrases and stick to more neutral language when not directly quoting a source.
Attempting to manipulate an emotional response in place of a valid or compelling argument.
The use of Snoop Dogg's enthusiastic language and phrases such as 'Peace and Olympic LOVE, ya dig?' may be seen as an attempt to generate positive emotions rather than providing detailed information about his role.
Provide more details about the specific nature of Snoop Dogg's role and contributions to the coverage, rather than focusing on his emotional expressions.
- 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.