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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TikTok
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 exaggerated language to provoke strong emotions or reactions from readers.
The article uses phrases like 'fumes' and 'raged' to describe Bad Bunny's reaction to the TikTok song.
Use neutral language to describe Bad Bunny's reaction.
The use of language that favors one side or presents a subjective viewpoint.
The article refers to Bad Bunny's comments as 'fuming' and 'raging', which presents a negative perception of his reaction.
Use neutral language to describe Bad Bunny's reaction.
Leaving out important details or context that could provide a more complete understanding of the situation.
The article fails to provide any reasons or explanations for Bad Bunny's reaction to the TikTok song.
Include information about any potential reasons or explanations for Bad Bunny's reaction.
- 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.