Media Manipulation and Bias Detection
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HonestyMeter - AI powered bias detection
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Viewers
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 exciting or shocking stories at the expense of accuracy, to provoke public interest or excitement.
The article title ‘The Jonathan Ross coverage is painful’ say ITV Oscars viewers as he makes awkward dig at Margot Robbie’s dress is sensational, implying a high level of drama and discomfort.
Use a more neutral title that reflects the content of the article without implying extreme reactions.
Statements that are not false but could easily be misunderstood by the audience.
The statement 'Ross also called Irishman Cillian Murphy British' could mislead readers into thinking that Ross made a significant error, without providing the context that it was a one-time mistake.
Provide context for the statement to clarify that it was a one-time error and not a repeated or intentional misattribution.
Language that is partial or prejudiced, supporting or opposing a particular side or position.
The use of phrases like 'utterly painful', 'awful jokes', 'forced laughs', and 'HELL ON EARTH' are examples of biased language that portrays Jonathan Ross's performance in a highly negative light.
Use more neutral language to describe the viewers' reactions to the Oscars coverage.
Incorrectly attributing a statement, idea, or action to the wrong source.
The article incorrectly attributes the nationality of Cillian Murphy as British, which is a factual error and misattribution.
Correct the nationality of Cillian Murphy to Irish to accurately represent the facts.
- 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.