Media Manipulation and Bias Detection
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HonestyMeter - AI powered bias detection
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Kim Kardashian
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.
The use of biased language can influence the reader's perception of the subject.
One person tweeted in support of Kim, 'She is proving yet again that parenting knows no gender. With a 'manny' in tow, she's rewriting the rules and embracing a diverse family dynamic. Because in her world, it's all about love, support, and breaking barriers!'
Use neutral language to present the tweet's content without bias.
Omitting key information can lead to a skewed understanding of the situation.
Kim Kardashian had filed for divorce from Kanye West after six years of marriage in February, 2021, and in November 2022, the two reached a settlement. Their breakup was messy and Kanye had lashed out at Kim multiple times on social media, and even criticized her parenting style.
Include more context about the divorce and the events surrounding it to provide a more comprehensive understanding 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.