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!
Jack Smith
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 article uses sensational language to grab attention and create a dramatic effect.
Special counsel Jack Smith wants Donald Trump tossed into the slammer if he keeps talking about witnesses in the federal election case.
Use neutral language to present the information without exaggeration.
The article uses biased language to favor one side over the other.
The prosecutor asked the court Wednesday to reinstate a gag order on the ex-president with harsher penalties if he violates it ― including jail.
Use neutral language to present the information without favoring any side.
The article presents one side more favorably than the other.
Jack Smith wants the court to reinstate a gag order and jail Donald Trump if he keeps attacking potential witnesses.
Present both sides of the argument objectively and provide equal weight to each perspective.
- 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.