Media Manipulation and Bias Detection
Auto-Improving with AI and User Feedback
Bias report
HonestyMeter - AI powered bias detection
CLICK ANY SECTION TO GIVE FEEDBACK, IMPROVE THE REPORT, SHAPE A FAIRER WORLD!
Objectivity Score
High
Selena Gomez & Emily Blunt Poke Fun at Golden Globes Lip-Reading Drama.
Sides Objectivity Scores
Sides Representation Balance
Favored Side
None
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.
Detected Manipulations & Suggested Changes
Sensationalism
The use of exciting or shocking stories or language at the expense of accuracy, in order to provoke public interest or excitement.
The article discusses rumors and fan speculations about celebrities, which can be seen as sensationalist as it plays into the public's interest in celebrity gossip.
Suggested Changes
Focus on the actions taken by the celebrities to address the rumors without emphasizing the speculative nature of the rumors.
Provide more context on why such rumors are harmful or unsubstantiated to discourage further speculation.
Spread the Truth
Share Report!
- 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.