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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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.
Exaggerating or sensationalizing aspects of the story to attract attention.
The phrase 'Antonela Roccuzzo stuns in boat photos' is an example of sensationalism, as it emphasizes her appearance in a way that is not directly relevant to the main news about Messi's injury and recovery.
Change the headline to 'Lionel Messi and Antonela Roccuzzo Enjoy Boat Day After Copa Final' to focus on the event rather than sensationalizing Roccuzzo's appearance.
Using emotional language to elicit an emotional response from the reader.
The phrase 'Despite their captain’s emotional exit in the 64th minute' uses emotional language to describe Messi's injury, which could be presented more neutrally.
Change the phrase to 'Despite Messi's exit in the 64th minute due to injury' to maintain a neutral tone.
- 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.