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  The analysis of the language of fake news grounded in linguistic theories and methods also opens up the possibility for a wide range of applications. Although our goal is not to develop systems for fake news detection, the most obvious application of our research is to support the language-based identification of fake news. Most notably, this includes considerable current research in natural language processing concerned with developing systems for automatically classifying real and fake news at scale via supervised machine learning (Reference Oshikawa, Qian and WangOshikawa et al. 2020). As noted above, these systems can achieve good results, but they are not designed to explain why the language of real and fake news differs, and they appear to focus more on the content of fake news than its linguistic structure (Reference Castelo, Almeida and ElghafariCastelo et al. 2019). Our framework is not intended to supplant these types of systems, but it can offer an explanation for why they work, or why they might appear to work, which is necessary to justify the real-world application of such tools. Furthermore, the identification of a principled set of linguistic features for the analysis of real and fake news can be used to enhance existing machine learning systems, which tend to be based on relatively superficial feature sets like the use of individual words and word sequences. These types of insights can be especially useful to improve performance on more challenging cases, which also seem likely to be the most important cases of fake news. In addition, our framework can directly inform how fake news corpora should be compiled in a principled manner for the robust training and evaluation of fake news detection systems, which is a major limitation in much current research on fake news (Reference Asr and TaboadaAsr & Taboada 2018). We have also argued that these differences in language use directly reflect differences in the communicative context in which Blair wrote real and fake news and his communicative intent. It appears Blair wrote fake news with lower levels of information density primarily because he was trying to write many articles quickly over short periods of time. An informationally dense style is generally associated with written registers, like newspaper writing, that focus on conveying large amounts of information in a limited space, and where authors crucially have time to edit carefully. Because Blair was writing fake news under pressure, it seems that he was not able to write as densely as he usually would. Furthermore, writing more densely would have only forced him to fabricate more information. Similarly, it appears Blair wrote fake news with less conviction because he knew he was communicating fabricated information, leading him to inadvertently mark his fake news for uncertainty.

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