Media Manipulation and Bias Detection
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HonestyMeter - AI powered bias detection
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Nets
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 subject.
Curry is always competitive, but this felt different.
Change the statement to a more neutral tone, such as 'Curry displayed a high level of competitiveness.'
Oversimplification occurs when complex issues are reduced to simple explanations.
The Warriors fumbled away an 18-point lead and inserted Curry back in for the last 8:40 of game time, Curry rose to the occasion like it was a playoff game.
Provide more context and detail about the game situation and Curry's performance.
Cherry-picking data involves selectively choosing information that supports a particular viewpoint.
Curry scored just 17 points with a season-worst 29.4% field goal percentage.
Include additional statistics to provide a more comprehensive view of Curry's performance.
Misleading headlines can distort the reader's understanding of the article.
Before torching Nets with flawless 4th, Steph Curry tweaked routine.
Use a more accurate headline that reflects the content of 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.