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!
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.
Presenting information in a way that is intended to provoke strong emotions or reactions.
The article title and the use of phrases like 'one of the dumbest conversations in the history of conversations' contribute to sensationalism.
Use a more neutral and objective title that accurately reflects the content of the conversation.
Using language that favors one side or presents a subjective viewpoint.
The article uses phrases like 'simping fanbase' and 'conservatives and libertarians do best' which show bias towards a particular viewpoint.
Use neutral language that presents both sides of the conversation without favoring one over the other.
Selectively choosing data that supports a particular viewpoint while ignoring contradictory data.
The article mentions the decrease in value of X (formerly Twitter) after Elon Musk bought it, but fails to mention any other factors that may have contributed to the decrease.
Provide a more comprehensive analysis of the factors that contributed to the decrease in value of X.
Leaving out important information that may provide a more balanced perspective.
The article mentions the high rental prices in San Francisco but fails to mention other factors that contribute to homelessness in the city.
Include information about other factors such as rising rents and stagnant wages that contribute to homelessness in San Francisco.
Flawed reasoning that undermines the validity of an argument.
The article uses ad hominem attacks by referring to Elon Musk as 'not particularly articulate or eloquent' and Joe Rogan as 'very wealthy and closed off from the greater reality of the world'.
Avoid personal attacks and focus on the arguments and ideas presented by both sides.
- 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.