Media Manipulation and Bias Detection
Auto-Improving with AI and User Feedback
- Objectivity Score
- Objectivity Score
- Objectivity Score
- Objectivity Score
- Objectivity Score
- Objectivity Score
Media Manipulation and Bias Detection
Auto-Improving with AI and User Feedback
HonestyMeter - AI powered bias detection
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Ed Sheeran
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 describe the collaboration between Ed Sheeran and J Balvin.
The article states that the collaboration is 'merging two worlds' and will 'offer a lot to talk about'.
Use more neutral language to describe the collaboration.
Avoid exaggerations and focus on the facts of the collaboration.
The article includes biased language favoring Ed Sheeran.
The article mentions that Ed Sheeran recognized J Balvin's voice and approached him, implying that Ed Sheeran took the initiative in their collaboration.
Provide a more balanced representation of how the collaboration between Ed Sheeran and J Balvin started.
Avoid implying that one artist had more agency or influence in the collaboration.
- 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.