Media Manipulation and Bias Detection
Auto-Improving with AI and User Feedback
HonestyMeter - AI powered bias detection
CLICK ANY SECTION TO GIVE FEEDBACK, IMPROVE THE REPORT, SHAPE A FAIRER WORLD!
Study Findings
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.
Use of sensational language to evoke interest or excitement at the expense of accuracy.
The article title 'Where Do We Feel Music In The Body? Depends If It’s Taylor Swift Or Slayer' uses sensationalism by implying a stark contrast between reactions to different artists that may not be supported by the study's findings.
Rephrase the title to more accurately reflect the study's findings, such as 'Study Maps Physical Sensations Induced by Music Across Genres'.
A lack of balance in reporting, which can occur when a story is disproportionately focused on one aspect or side.
The article mentions specific artists like Taylor Swift, ABBA, Slayer, Lady Gaga, Bradley Cooper, Adele, Jeff Buckley, and Pharrell Williams, which may give undue emphasis to certain genres or artists over others.
Include a broader range of musical genres and artists to represent the study's findings more comprehensively.
- 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.