Challenges and Opportunities for the Analysis of Digital News Media Language
Abstract
The present paper aims to discuss the issue of digital news media analysis and how the use of Information Technology (IT) and Natural Language Processing (NLP) tools can offer a boost to researchers who are particularly interested in examining the linguistic aspect of news media texts. It looks into the way these new methods can assist, and therefore enhance linguistic studies involving minute and detailed analyses of a variety of linguistic features that news media texts contain such us transitivity structure, lexicalization and topicalization. The paper starts by presenting the perspective of the linguists, critical discourse analysts to be precise, by looking into the reasons why they consider news media language to be one of the aspects of human communication worthy of being scrutinized, especially in the digital era. The latter is characterized by the production of big amounts of news media content to which people are exposed at a pace never witnessed before. The paper also provides a brief overview of the kind of linguistic tools critical discourse analysts rely on to examine news texts to eventually discuss the possibilities that the new technology can offer, not only to make linguistic studies of the type critical discourse analysts carry out more objective and revealing, but to also process bigger and more representative corpuses of data.
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