Media Manipulation and Bias Detection
Auto-Improving with AI and User Feedback
- Objectivity Score
- Objectivity Score
- Objectivity Score
- Objectivity Score
- Objectivity Score
- Objectivity Score
Media Manipulation and Bias Detection
Auto-Improving with AI and User Feedback
HonestyMeter - AI powered bias detection
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CHEQ
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 shocking or exciting language at the expense of accuracy, in order to provoke public interest.
The headline suggests that the majority of traffic was fake without providing immediate evidence within the article to support the claim.
Rephrase the headline to reflect the uncertainty of the data, such as 'Data indicates possible fake traffic surge on Elon Musk's X during Super Bowl'.
A headline that does not accurately reflect the content of the article.
The headline claims the majority of traffic was fake, which is a strong statement not conclusively supported by the body of the article.
Ensure the headline accurately reflects the content and findings reported in the article.
Selectively presenting data that confirms a particular position while ignoring a significant portion of related data or data that may contradict that position.
The article focuses on data from CHEQ without considering or mentioning any other sources that might provide a more balanced view of the traffic on Elon Musk's X.
Include data from multiple sources to provide a balanced view of the situation.
Presenting one side of a story more favorably than the other without a neutral point of view.
The article heavily emphasizes the findings from CHEQ without providing a balanced perspective or sufficient counterpoints from X or independent analysts.
Provide a balanced view by including statements or data from X or other independent analysts.
Claims that are made without evidence to support them.
The article makes claims about the bot traffic and its implications without providing concrete evidence to substantiate the severity of the issue.
Provide evidence or data to support the claims made in the article.
- 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.