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submitted 1 year ago by lvxferre@lemmy.ml to c/linguistics@lemmy.ml

This paper describes an IMO rather interesting approach towards fake news, through their morphological content: the words from each piece of news (real and fake) were grouped into categories, then the researchers made a statistical analysis of the usage of those categories in real and fake news. And they found out that:

  • fake news tend to use more foreign words, adjectives and nouns
  • real news tend to use more W-words (who, what), determiners, prepositions and verbs

I think that their findings are damn useful. Perhaps not to detect fake news, but to understand how they work on a discursive level. For example, the usage of foreign words in fake news caught my attention - perhaps they're used to mask the underlying meaning of the utterance? While real news are focused on describing events, and thus rely more on verb usage?

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this post was submitted on 03 Jul 2023
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