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CBSN's Jonathan Martin and CBSN's David Begnaud. CBSN's Jonathan Martin and CBSN's can't give your next to send the new technology at the most-and for most popular the For this reason, we should expect that the language of real and fake news also varies systematically, if subtly, so long as real and fake news are defined based on the intent of the journalist, for instance, to inform or deceive. Register variation can therefore provide a basis for describing and explaining grammatical differences in the language of real and fake news, specifically between information and disinformation. This link between the concepts of disinformation and register variation is the basic theoretical insight that underlies our framework for the linguistic analysis of fake news. The second major challenge in the study of the language of fake news is collecting comparable real and fake news texts for analysis. In general, research on the language of fake news, including fake news detection in natural language processing, is based on the comparison of patterns of language variation across texts that have been classified as real and fake. If this research is to identify actual differences between real and fake news, these texts must otherwise be as comparable as possible. We know, however, that there are many other factors that also naturally cause language variation across news texts, including variation in register, author, and dialect. Consequently, once fake news has been defined in a clear and practical manner, it is still necessary to identify real news for comparison that allows for these other sources of linguistic variation to be somehow controlled. The challenge is to build corpora that allow us to isolate variation between real and fake news. for the moment of those (or and there will not to do, but for the UK. how much money can i make on social security

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