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!
Public Opinion
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 exciting or shocking stories at the expense of accuracy, to provoke public interest or excitement.
The headline and the article's focus on LeBron James driving at 1am with driving gloves and being on his phone is sensationalized to attract attention.
Use a more neutral headline that focuses on the key event without provoking unnecessary excitement or judgment.
Headlines that do not accurately reflect the content of the article.
The headline suggests a negative connotation by stating 'some slam Lakers superstar for being on his phone at the wheel' without providing context that it's a mix of reactions.
Adjust the headline to reflect the mixed reactions without implying a majority negative response.
Attempting to manipulate an emotional response in place of a valid or compelling argument.
The article plays on emotions by highlighting the negative reactions and the driving gloves, which may not be relevant to the story's factual content.
Focus on presenting the facts of the incident and the range of reactions without emphasizing elements designed to elicit an emotional response.
Language that is biased or contains value judgments.
Terms like 'bizarre video' and 'slam Lakers superstar' introduce bias and imply judgment.
Use neutral language to describe the video and the public's reactions.
- 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.