Media Manipulation and Bias Detection
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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.
Use of hyperbolic language to create buzz or heightened emotional response.
The phrase 'up in arms' and 'Don’t deprive us of this' are sensationalistic, aiming to provoke an emotional response from the reader.
Replace 'up in arms' with 'concerned' or 'interested in the outcome'.
Remove 'Don’t deprive us of this' to maintain a neutral tone.
Language that is partial or shows a lack of neutrality.
The article uses phrases like 'disappointing update' and 'snubbed', which introduce the author's opinion rather than presenting just the facts.
Use 'unexpected update' instead of 'disappointing update'.
Replace 'snubbed' with 'not selected' or 'overlooked'.
Attempting to manipulate an emotional response in place of a valid or compelling argument.
The article appeals to the reader's emotions with phrases like 'Seriously, Oscars bosses. Don’t deprive us of this' and 'they broke our hearts, they pushed the culture and they made history.'
Remove emotionally charged pleas and focus on the factual aspects of the Oscars decisions.
- 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.