How interactions and connectivity in social media networks mediate language use
Understanding how social interactions shape language use is a central problem in sociolinguistics, as everyday exchanges are the primary mechanism through which linguistic variants are transformed, transmitted, and reinforced. Online social media provide an unprecedented opportunity to explore this question, as they generate vast amounts of data on users’ interactions and the linguistic content they produce. In this work, we investigate how social interactions within online communities mediate both the languages employed and the prevalence of non-standard linguistic forms. Adopting a complex systems perspective, we model interactions through replies and construct a directed, weighted network comprising over one million users, each assigned to a residence cell within the United Kingdom. Based on the analysis of more than 500 million geolocated tweets, we characterize the linguistic features of the content generated by users and detect community structures within the network. Our results reveal distinct patterns in the interplay between social interactions and language use.
TFM supervisors: José J. Ramasco and David Sánchez
TFM jury: David Sánchez, Maxi San Miguel, and Juan Fernández-Gracia
This Master Thesis will be broadcasted in the following zoom link: https://us06web.zoom.us/j/89027654460?pwd=Wg9TYMPqqP2ipfj2JVvEagmzaTw29c.1
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