Media Manipulation and Bias Detection
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HonestyMeter - AI powered bias detection
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Azealia Banks and Megan Thee Stallion
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 emotionally charged language to provoke interest at the expense of accuracy.
The article uses phrases like 'beef', 'controversial musician', and 'really pissed the f-ck off' to sensationalize the conflict.
Use neutral language to describe the situation and avoid emotionally charged terms.
Language that is partial or prejudiced, favoring or disfavoring something.
The article uses biased language such as 'fat smelly loser Kanye west' and 'problematic links that Minaj has to child sex offenders' without providing a balanced perspective.
Present information without using derogatory terms and provide a balanced view of each individual's actions and history.
Leaving out important details that could change the perception of the reported situation.
The article omits key information about the context of the 'beef' and the perspectives of Nicki Minaj and Megan Thee Stallion, focusing only on the negative aspects related to Minaj.
Include information from all parties involved and provide context for the reader to understand the full scope of the situation.
- 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.