Media Manipulation and Bias Detection
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HonestyMeter - AI powered bias detection
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Emily Ratajkowski
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 to create drama and draw attention.
The article refers to Emily Ratajkowski as 'weird' and highlights her hanging out with Jennifer Aniston's ex as if it is a controversial or scandalous event.
Remove the use of sensational language and focus on the objective details of the event.
The article uses biased language to portray Emily Ratajkowski in a negative light.
The article mentions that fans expressed their disdain over Emily Ratajkowski going after another one of Aniston's exes, implying that she is doing something wrong.
Use neutral language to present the opinions of fans without implying judgment.
The article relies on the opinions of Reddit users as a form of authority.
The article quotes a Reddit user's opinion about Emily Ratajkowski's behavior.
Include a variety of perspectives and opinions to provide a 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.