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.
The use of biased language can influence the reader's perception of the topic.
These days, the rich and powerful wear athleisure (see: Mark Zuckerberg or Rishi Sunak’s much-maligned collection of hoodies).
Instead of using biased language, the article could provide a more neutral description of the clothing choices of the rich and powerful.
Cherry-picking data involves selectively choosing information that supports a particular viewpoint while ignoring contradictory evidence.
Pollsters report that only 7% of workers say they wear business attire in the office, and a quarter say that they only ever wear casual clothes to work.
To avoid cherry-picking data, the article could provide a more comprehensive analysis of workplace attire preferences, including a wider range of statistics.
- 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.