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 language that unfairly favors or disfavors a particular side.
Phrases like 'Democratic Socialism’s rise portends nothing good' and 'half-baked pseudo-solutions' are examples of biased language.
Use neutral language to describe political ideologies and solutions.
Avoid using derogatory terms to describe political figures or their policies.
Claims made without sufficient evidence or support.
Statements such as 'this version [of leftism] is even dumber' and 'Blake’s launch only hints at how ugly his tactics are going to get' lack evidence.
Provide evidence or sources to support claims.
Avoid making claims that cannot be backed up with data or credible sources.
Using sources that support a particular viewpoint while ignoring others.
The article quotes sources that criticize certain political figures without providing counterarguments or perspectives.
Include a wider range of sources to provide a balanced view.
Present counterarguments to provide a more comprehensive perspective.
- 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.