Media Manipulation and Bias Detection
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HonestyMeter - AI powered bias detection
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No side is significantly favored
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.
Presenting information in a way that is intended to provoke excitement, shock, or interest
The article uses sensational language to describe Blue Ivy's response to online criticism, stating that she 'trained even harder' for the tour after being trolled online.
Use neutral language to describe Blue Ivy's response to online criticism.
Using language that favors one side or perspective over another
The article includes biased language when describing Blue Ivy's dance moves as 'lacklustre'.
Use neutral language to describe Blue Ivy's dance moves.
Using emotional language or anecdotes to manipulate the reader's feelings
The article includes quotes from Beyonce and Jay Z expressing their pride and emotions towards Blue Ivy's performance.
Provide a more balanced representation of the emotions expressed by Beyonce and Jay Z.
- 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.