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• digital news articlesfrom online news outlets(for example such as Bloomberg and FTamong others), can identifynot only popularsinglewordedterms,butcontextualisedcryptocurrencymarketsentimenttoo.
• fluentialto the crypto-economy,as Google searches and social mediaBitcoin metrics(15).Research has confirmed the suggestion that movements infinancial markets,and movements in financial news are intrinsically interlinked (16).
• By undertaking text analysis of N=4218cryptocurrency articles published between 2018 and 2020, discourses in theinternationalnews media from over 60 countries are modelled utilising aNatural Language Processing method, specifically Latent DirichletAllocation(LDA) Topic Modelling(20).
• This study provides empirical evidencethat key topics associated with cryptocurrency in the international news media from 2018-2020, areframed around the following key macro discourses: crypto related crime1, financial speculation and investment2, financial governance and regulation3, political economy (with reference to specific geographical areas...
• here past research has shown a clear connection between the role of the media and the market i.e. commonly used words and market behaviour (16–19), discourses where words present context may have differing effects. This research identifies those key crypto discourses in a novel, and yet unexplored way

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