Linguistics of Social Media

A special issue of Languages (ISSN 2226-471X).

Deadline for manuscript submissions: 1 December 2024 | Viewed by 2288

Special Issue Editor


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Guest Editor
Linguistics, School of Arts/Te Kura Toi, University of Waikato, Hamilton 3216, New Zealand
Interests: social media language; New Zealand English lexis and grammar; loanword use and language evolution

Special Issue Information

Dear Colleagues,

This Special Issue brings together current research grounded within a linguistics perspective (theoretical or variationist) and analysing language data from a variety of social media platforms with the goal of increasing understanding of how communication takes place in online social spaces.

Although some argue that social media has roots which date as far back as the 1970s (Hines, 2022), it is really over the past decade or two that social media has become deeply embedded in our day-to-day lives, increasingly turning into an indispensable channel of communication. With this shift, the language we use on various platforms has also begun to capture the attention of linguists and language scholars. Applied linguistics topics, such as social media as an extension of the language classroom, particularly the English-language classroom, have seen ample attention. However, more recently, work grounded in theoretical aspects of language analysis (Calude, 2023) have begun to emerge. Topics include, for example, word formation (Caleffi 2015), dialectology (Zsombok 2022), grammar (Burnette & Calude, 2022), analyses of vernacular forms (Ilbury 2019) and non-standard grammar (Calude et. al, to appear), loanwords (Trye et. al, 2020), and narrative and stylistic analyses (Clarke & Grieve 2019, Page 2018).

This Special Issue welcomes empirical contributions which draw on social media language data, both qualitative and quantitative, analysing these data by drawing specifically on linguistics approaches. The contributions may include but are not limited to the following research topics:

  1. Morphological processes and lexical innovation operating in social media;
  2. Grammatical or syntactic analyses of social media language;
  3. Semantic analyses of social media language;
  4. Investigations of how social media users leverage phonetic qualities for meaning making;
  5. Application of pragmatics methods or theories to online posts;
  6. Analysis of sociolinguistic variation on social media;
  7. Dialectology studies of social media language;
  8. Language contact, loanword use, or codeswitching research on social media.

The contributions included in this Special Issue will be primarily research papers, but a small number of position papers and review articles may also be considered (for instance, related to ethical considerations, e.g., Tagg & Spillioti 2022). Authors are asked to ensure their contributions are original and not submitted elsewhere, are written in English, and meet ethical considerations. All submissions will be peer-reviewed and acceptance is subject to successful review.

It is hoped that the collection of papers in this Special Issue will popularise the field of social media communication and bring together scholars who work on similar data but perhaps from different linguistics perspectives and use different methodologies. The insights gained from this body of work will showcase how concepts and theories from linguistics can be used to fruitfully increase our knowledge of this dynamic and ever-changing communication environment, while also challenging some of the prescriptive assumptions circulating in relation to it.

We request that, prior to submitting a manuscript, interested authors initially submit a proposed title and an abstract of 400–600 words summarizing their intended contribution. Please send it to the guest editor ([email protected]) or to Languages editorial office ([email protected]). Abstracts will be reviewed by the guest editors for the purposes of ensuring proper fit within the scope of the special issue. Full manuscripts will undergo double-blind peer-review.

References

Burnette, J. & Calude, A (2022). Wake up New Zealand! Directives, politeness and stance in Twitter #Covid19 NZ posts. Journal of Pragmatics, 196, 6-23.

Caleffi, P. M. (2015). The 'hashtag': A new word or a new rule?. SKASE journal of theoretical linguistics, 12(2), 1 –24.

Calude, A, Anderson, A. & Trye, D. (To appear). Intensifying expletive constructions and their use on social media: Innovative functions of the hashtag #wokeAF in English tweets. Discourse, Context & Media.

Calude, A. (2023). The linguistics of social media: An introduction. Routledge.

Clarke, I., & Grieve, J. (2019). Stylistic variation on the Donald Trump Twitter account: A linguistic analysis of tweets posted between 2009 and 2018. PloS one, 14(9), e0222062.

Hines, K. (2022). The History of Social Media.  Search Engine Journal, https://www.searchenginejournal.com/social-media-history/462643/ [Accessed on 9 Aug, 2023]

Ilbury, C. (2019). “Sassy Queens”: Stylistic orthographic variation in Twitter and the enregisterment of AAVE. Journal of sociolinguistics, 24(2), 245-264.

Page, R. (2018). Narratives online: Shared stories in social media. Cambridge University Press.

Tagg, C., & Spillioti, T. (2022). Research ethics. Research Methods for Digital Discourse Analysis, 91-114.

Trye, D., Calude, A., Bravo-Marquez, F. & Keegan, T.T. (2020) Hybrid Hashtags - #YouKnowYoureAKiwiWhen your Tweet contains Māori and English. Frontiers Special Issue on Computational Sociolinguistics. https://doi.org/10.3389/frai.2020.00015.

Zappavigna, M. (2018). Searchable talk: Hashtags and social media metadiscourse. Bloomsbury.

Zsombok, G. (2022). Official new terms in the age of social media: the story of hashtag on French Twitter. Journal of French Language Studies, 32(2), 145-164.

Dr. Andreea S. Calude
Guest Editor

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Published Papers (2 papers)

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Research

13 pages, 549 KiB  
Article
A Case Study of Negated Adjectives in Commuters’ Twitter Complaints
by Nicolas Ruytenbeek
Languages 2024, 9(8), 274; https://doi.org/10.3390/languages9080274 - 14 Aug 2024
Viewed by 316
Abstract
In today’s digital society, social networks such as Twitter are a preferred place for expressing one’s emotions, especially when they are negative. Despite a growing interest in the variety of linguistic realizations of commuters’ complaints, little attention has so far been paid to [...] Read more.
In today’s digital society, social networks such as Twitter are a preferred place for expressing one’s emotions, especially when they are negative. Despite a growing interest in the variety of linguistic realizations of commuters’ complaints, little attention has so far been paid to writers’ choices, especially when morphologically or syntactically simpler alternative formulations are available. A typical example is the “inference towards the antonym” triggered by the negation of contrary adjectives, an effect that is stronger for positive compared to negative adjectives. In the context of railway transport, a customer could use the negative statement The train is not clean instead of the corresponding affirmative sentence The train is dirty. It remains unclear, in our current state of knowledge, why online customers would prefer more complex constructions to voice their criticisms. Based on a large corpus of tweets sent to the French and Belgian national railway companies by their customers, I have semi-automatically extracted instances of not (very) + adjective (ADJ). Based on previous observations in the literature, I expected positive adjectives to be more frequently used in these negative environments compared to negative ones. As recent research demonstrates that one’s desire to save the interlocutor’s face is not necessarily the only reason why positive adjectives are used in linguistically negative environments, other motivations will also be considered. More precisely, I suggest that in a context where negativity is prevalent, customers using negated positive adjectives kill two birds with one stone: not only do they signal an issue with a product or a service, pointing to expectations that have not been met by the company, but they also mitigate the impact of their negative comments to the positive face of the service managers with whom they are interacting. By offering a quantitative, corpus-based analysis of negative constructions, complemented by a qualitative linguistic analysis of selected examples, this research sheds new light on users’ lexical choices in online negative customer feedback. Full article
(This article belongs to the Special Issue Linguistics of Social Media)
32 pages, 7299 KiB  
Article
Analysing A/O Possession in Māori-Language Tweets
by David Trye, Andreea S. Calude, Ray Harlow and Te Taka Keegan
Languages 2024, 9(8), 271; https://doi.org/10.3390/languages9080271 - 6 Aug 2024
Viewed by 523
Abstract
This article contributes the first corpus-based study of possession in Māori, the indigenous language of Aotearoa New Zealand. Like most Polynesian languages, Māori has a dual possessive system involving a choice between the so-called A and O categories. While Māori grammars describe these [...] Read more.
This article contributes the first corpus-based study of possession in Māori, the indigenous language of Aotearoa New Zealand. Like most Polynesian languages, Māori has a dual possessive system involving a choice between the so-called A and O categories. While Māori grammars describe these categories in terms of the inherent semantic relationship between the possessum and possessor, there have been no large-scale corpus analyses demonstrating their use in natural contexts. Social media provide invaluable opportunities for such linguistic studies, capturing contemporary language use while alleviating the burden of gathering data through traditional means. We operationalise semantic distinctions to investigate possession in Māori-language tweets, focusing on the [possessum a/o possessor] construction (e.g., te tīmatanga o te wiki ‘the beginning of the week’). In our corpus comprising 2500 tweets produced by more than 200 individuals, we find that users leverage a wide array of noun types encompassing many different semantic relationships. We observe not only the expected predominance of the O category, but also a tendency for examples described by Māori grammars as A-marked to instead be O-marked (59%). Although the A category persists in the corpus, our findings suggest that language change could be underway. Our primary dataset can be explored interactively online. Full article
(This article belongs to the Special Issue Linguistics of Social Media)
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