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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Auburn
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 language that promotes a product or service.
The article includes promotional language for Fubo, such as 'Get in the game with wall-to-wall college football coverage on Fubo' and 'Live stream the Ball State vs Auburn game for free on ESPN U with Fubo: Start your subscription now!'
Remove promotional language and focus on providing unbiased information about the game.
Provide alternative streaming options to avoid bias towards a single service.
Language that shows a preference for one side over another.
The article describes Auburn's win as 'exciting' and 'impressive,' which may suggest a bias towards Auburn.
Use neutral language to describe both teams' performances.
Provide balanced descriptions of both teams' previous games.
- 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.