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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Joe Biden
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 sensational language to provoke interest at the expense of accuracy.
The article title 'Donald Trump challenges Joe Biden to take cognitive test - only to get name of his own doctor wrong' is sensational, emphasizing a mistake to attract attention.
Rephrase the title to focus on the challenge itself rather than the mistake, such as 'Donald Trump urges Joe Biden to undergo cognitive testing'.
Statements that may lead the reader to a wrong conclusion or impression.
The article implies that Mr. Trump's mistake regarding his doctor's name is on par with the concerns he raises about Mr. Biden's cognitive abilities, which could mislead readers about the severity of the gaffe.
Clarify that the mistake about the doctor's name is a minor error and not directly related to cognitive ability.
Language that is partial or prejudiced towards one side.
The use of phrases like 'lambasted his rival over his various gaffes' and 'ramble or get facts wrong' suggests a negative bias towards Mr. Trump.
Use neutral language to describe the actions of both candidates, such as 'criticized' instead of 'lambasted' and 'made errors' instead of 'ramble or get facts wrong'.
- 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.