Media Manipulation and Bias Detection
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HonestyMeter - AI powered bias detection
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Nikos Filis
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 article uses sensational language to create a dramatic effect.
The article describes Nikos Filis' attack on Stefanos Kasselakis as 'launching an attack' and 'drawing a parallel' between him and Donald Trump. This language adds a sensational tone to the article.
Use neutral language to describe the events without adding unnecessary drama.
The article uses biased language to favor one side over the other.
The article refers to Nikos Filis as a 'former education minister' and Stefanos Kasselakis as the 'new leader of the leftist opposition party.' This language implies a negative connotation towards Filis and a positive connotation towards Kasselakis.
Use neutral language to describe both individuals without implying any bias.
The article relies on the authority of Nikos Filis to support its claims.
The article quotes Nikos Filis' statements without providing any counterarguments or alternative perspectives.
Include perspectives from other sources to provide a more balanced view of the situation.
- 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.