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.
Statements that are not backed by evidence or specific details.
"He made another history with Sparta Prague, which finally played a Champions League match at Letná after 19 years." The phrase 'made another history' is somewhat vague and lacks specific evidence or context.
Provide specific details or context to substantiate the claim, such as 'He contributed to Sparta Prague's historic return to Champions League matches at Letná after 19 years.'
Using emotional language to elicit an emotional response from the reader.
"I feel good, I feel great and I’m very happy for myself because I worked hard to get to this point." While this is a direct quote from Olatunji, it is included to evoke an emotional response.
While quotes from players are important, ensure that the article maintains a neutral tone by balancing emotional quotes with factual information.
- 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.