Media Manipulation and Bias Detection
Auto-Improving with AI and User Feedback
HonestyMeter - AI powered bias detection
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Tina Knowles
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 article uses sensational language and phrases to create excitement and draw attention.
The use of phrases like 'hilariously spills the tea' and 'true mom fashion' indicates biased language and sensationalism.
Use neutral language to describe the events and avoid exaggeration.
The article uses biased language to present a particular perspective or opinion.
The article contains phrases like 'true mom fashion' and 'gangsta' which indicate biased language.
Use neutral language to present the information without favoring any side.
The article selectively chooses quotes and information to support a particular narrative.
The article cherry-picks quotes from Tina Knowles to create a narrative without providing a balanced perspective.
Include quotes and information from other sources or perspectives to provide a more balanced view.
- 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.