Abstract
Abstract The main objective of this study was to examine the specialized environmental vocabulary which is incorporated in ordinary discourse found on the Internet. Specifically, we collected English-language data from two social networks, Twitter and Reddit, with a set of environmental keywords which was compiled using the term candidates extraction technique described in Shvets and Wanner (2020). Furthermore, using data from the initial corpus, we built a smaller sample of texts to serve as a ground for a preliminary linguistic analysis of the environmental term carbon. In environmental discourse, carbon is an umbrella term which has acquired multiple senses when it comes to greenhouse gas emissions. Additionally, this term has settled in ordinary communication (Fletcher & Downing, 2011). By means of a fine-grained manual linguistic analysis applied to the data sample, we identified five semantic patterns in the way the general public conceptualizes carbon in the environmental context.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
