Mise-en-scène. Politiche di autorappresentazione e autenticità su YouTube

Maria Grazia Sindoni

Abstract


YouTube features an exponentially growing collection of video, spoken and audio data that are still unexplored. Handling such data is a challenging undertaking which calls for a multidisciplinary approach, which takes into account the highly complex nature of YouTube texts. This paper sets out to illustrate politics of self-representation and authenticity in a non commercial video on YouTube, with grounding theories provided by systemic-functional grammar (Halliday 1978; Halliday & Mathiessen 2004 [1984]) and methods of enquiry from multimodal corpus linguistics (Baldry & O’Halloran 2010). In particular, a top viewed and top rated non commercial video will be analyzed as a multimodal “mastertext”, originating a wealth of “metatexts”, i.e. written comments. A corpus-driven study of a sample of ca. 70000 comments will provide insights into interactional dynamics within video-sharing communities and, more specifically, explore transitivity patterns with reference to the Hallidayan experiential metafunction. Despite the apparent randomness and breaking of the relevance maxim (Grice 1975) of such comments, a corpus-driven analysis gives evidence for relatively fixed categorizations on the grounds that transitivity patterns are regular and highly predictable. Examples of material, mental and relational processes endorse this heuristic interpretation.

Full Text:

PDF (Italiano)


DOI: https://doi.org/10.6092/2240-5380/1.2011.676

Refbacks

  • There are currently no refbacks.


Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 International License.