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This article argues that language play is intimately related to linguistic variation and change. Using two corpora of online present-day English, we investigate playful conversion of adjectives into abstract nouns (e.g. made of awesome∅), uncovering consistent rule-governed patterning in the grammatical constraints in spite of this option stemming from deliberate subversion of standard overt suffixation. Building on Haspelmath's (1999) notion of ‘extravagance’ as one of the keys to language change, we account for the systematic patterning of deliberate linguistic subversion by appealing to tension between the need to stand out and the need to remain intelligible. While we do not claim that language play is the only cause of linguistic change, our findings position language play as a constant source of new linguistic variants in very large numbers, a small proportion of which endure as changes. Our conclusion is that language play goes a long way toward accounting for linguistic innovations—with respect to where they come from and why languages change at all.
For seven years in a row (2016 through 2022), we carried out a project with two goals. One was to train undergraduate students in sociolinguistic interviewing; the other was to catch change among English intensifiers. We expected to find an innovative variant, maybe either so or super. However, the incoming form we identify is very. We propose that, after a long decline, very became unusual enough to gain novelty value and be available for recycling. This surprising finding emerges clearly from our fine-grained, real-time data across two registers (speech and instant messaging) despite dozens of different student interviewers and two years of pandemic conditions. The cohesive patterns attest to the fundamental orderliness of language, even in phenomena such as English intensifiers that are characterized by constant, rapid change.
The powerful pedagogical affordances of technologies enable new forms of learning that can serve contemporary pedagogies such as task-based language teaching (TBLT) in different educational contexts. Indeed, technology and TBLT mutually nurture one another as technology sets a natural and authentic context for the realization of the methodological principles of TBLT, and TBLT offers a rationale and pedagogical framework for the selection and use of technology. Given the unique learning potential of technology-mediated TBLT and the relative newness of the field, it is essential to advance this area to fulfill the fruitful interface between the two fields of TBLT and technology. This chapter presents how this fusion offers language learning opportunities that would otherwise be difficult to orchestrate in traditional classroom contexts. It then provides a brief review of recent work in this area, paving the way toward an outline of future research and practice directions in the implementation of technology-mediated TBLT.
Disinformation and the spread of false information online have become a defining feature of social media use. While this content can spread in many ways, recently there has been an increased focus on one aspect in particular: social media algorithms. These content recommender systems provide users with content deemed ‘relevant’ to them but can be manipulated to spread false and harmful content. This chapter explores three core components of algorithmic disinformation online: amplification, reception and correction. These elements contain both unique and overlapping issues and in examining them individually, we can gain a better understanding of how disinformation spreads and the potential interventions required to mitigate its effects. Given the real-world harms that disinformation can cause, it is equally important to ground our understanding in real-world discussions of the topic. In an analysis of Twitter discussions of the term ‘disinformation’ and associated concepts, results show that while disinformation is treated as a serious issue that needs to be stopped, discussions of algorithms are underrepresented. These findings have implications for how we respond to security threats such as a disinformation and highlight the importance of aligning policy and interventions with the public’s understanding of disinformation.
This article conducts an exploratory multidimensional (MD) analysis of four interactive online registers, namely newspaper comments, tweets, web forums and text messages, originating from four South Asian countries (Bangladesh, India, Pakistan and Sri Lanka) and two Inner Circle (Kachru 1985) English-speaking countries (UK and USA). A principal component analysis (PCA) has been performed on the interactive registers using linguistic features tagged by a modified version of the MFTE tagger (Le Foll 2021a). The dimensions resulting from the PCA show that nominal, literate and informational features are generally more common in the South Asian data – which represent varieties belonging to the Outer Circle (Kachru 1985). Additionally, different features are used for expressing persuasion or opinion compared to the two reference varieties.
This article investigates continuities and changes in abbreviation practices from late Middle English to twenty-first-century digital platforms. Adopting a diachronic perspective and lexicological framework, it quantitatively analyses frequency patterns across fifteenth-century memoranda, letters and administrative receipts, seventeenth-century letters and depositions, late nineteenth-century letters, early twentieth-century letters and a subcorpus of WhatsApp instant messages dating from 2018–19. It then presents analyses of the frequencies of various abbreviation forms, such as clippings, and abbreviated lexemes, such as their use for names, over time. The article then provides a qualitative analysis of these lexeme categories over the centuries, with a focus on specific examples. Major changes to overall abbreviation density across time are identified. The forms of abbreviation also go through major change, but the types of lexemes that are abbreviated stay more consistent over time. For example, abbreviations being used for closed-class function words such as the and that are dominant from the earliest data we have looked at to the present day. Overall, the study demonstrates how situating new media abbreviation practices within a historical continuum can enhance our understanding of them.
The Fourth Industrial Revolution (4IR) describes the technological transformations that are incrementally, but radically, changing everyday life practices. Like previous industrial revolutions, technological advancements are so pervasive and impactful that everything from an individual's sense of identity and understanding of the world to the economic success of an entire industry are profoundly altered by 4IR innovation. Despite the significance of 4IR transformations, little applied linguistic research has examined how these emergent technologies collectively transform human behavior and communication. To this end, this Element identifies key 4IR issues and outlines how they relate to applied linguistic research. The Element argues that applied linguists are in an excellent position to contribute to such research, as expertise in language and communication is critical to understanding 4IR issues. However, to make interdisciplinary and wider societal contributions, applied linguists must rethink how 4IR technologies can be harnessed to more efficiently publish and disseminate timely research.
The chapter ’Multimeowdality’ looks at the interplay of textual and visual elements in social media and approaches multimodality in computer-mediated communication (CMC) and computer-mediated discourse (CMD). Digital discourse has evolved from text-only discourse to multimodal interactions involving text, audio, video, and graphics. The chapter shows the CMC modes and semiotic modes used in multimodal interaction. Based on examples from cat-related digital spaces, it applies the faceted classification tool and the CMDA tool to describe communication on the interactive multimodal platforms. The chapter describes the various visual elements, such as photos, videos, memes, meme-like photos, GIFs, emoticons, emoji, and stickers, and discusses their functions in discourse.
After conquering the Internet, cats are now taking on linguistics! Since the advent of social media, cats have become a topic central to online communication, and the multitude of cat-related accounts now online has made this a world-wide phenomenon. Through cat-inspired varieties of language, we have developed a genre of cat-inspired vocabulary. And on our special social media accounts for our cats, we take on their identities, as we post, write, talk, and chat - as our feline friends. This innovative book provides linguistic analyses of the cyber 'Cativerse', exploring online language variation, and explaining key linguistic concepts – all through the lens of cat-related communication. Each chapter explores a different sociolinguistic phenomena, drawing on fun and engaging examples including memes, hashtags, captions and 'LOLcats', from platforms such as Instagram, Facebook, YouTube and Twitter. Innovative yet accessible, it is catnip for all 'hoomans' interested in how language is used online.
Online, social media communication is often ambiguous, and it can encourage speed and inattentiveness. We investigated whether Actively Open Minded Thinking (AOT), a dispositional willingness to seek out new or potentially threatening information, may help users avoid these pitfalls. In Study 1, we determined that correctly assessing social media authors’ traits was positively predicted by raters’ AOT. In Study 2, we used data-driven methods to devise a three-dimensional picture of online behaviors of people high or low in AOT, finding that AOT is associated with thoughtful, nuanced, idiosyncratic actions and with resisting the typically fast pace of online interactions. AOT may be an important factor in accurate, socially responsible online behavior.
Studying group decision-making is challenging for multiple reasons. An important logistic difficulty is studying a sufficiently large number of groups, each with multiple participants. Assembling groups online could make this process easier and also provide access to group members more representative of real-world work groups than the sample of college students that typically comprise lab Face-to-Face (FtF) groups. The main goal of this paper is to compare the decisions of online groups to those of FtF groups. We did so in a study that manipulated gain/loss framing of a risky decision between groups and examined the decisions of both individual group members and groups. All of these dependent measures are compared for an online and an FtF sample. Our results suggest that web-conferencing can be a substitute for FtF interaction in group decision-making research, as we found no moderation effects of communication medium on individual or group decision outcome variables. The effects of medium that were found suggest that the use of online groups may be the preferred method for group research. To wit, discussions among the online groups were shorter, but generated a greater number of thought units, i.e., they made more efficient use of time.
This study investigates the communication strategy (CS) use of English as a foreign language (EFL) learners in videoconferencing (VC), virtual world (VW), and face-to-face environments. The study was conducted with 30 senior Turkish undergraduate EFL students. The data were collected via video and audio recordings of three opinion-exchange tasks, a background and post-task questionnaire, and an interview that includes a retrospective think-aloud protocol. The participants worked in groups of five to complete the opinion-exchange tasks in each of the three environments. The findings indicated that the participants made use of a wide range of CSs, and although some of the CSs differed, mostly the same types were employed in all the environments. However, the results revealed that the frequency of CSs showed variance among environments, with the highest number in the VC environment and the lowest in the VW. It was possible to establish a connection between the differences in the frequency and the types of strategy use with the distinctive features of the environments, the proficiency level of the participants, and the type of the tasks that was utilized. Additively, 10 new strategy types were discovered.
This paper reports on ongoing research aimed at characterizing a signature pedagogy (Shulman, 2005) of technology-enhanced task-based language teaching (TETBLT). To achieve this goal, we initially identified 15 pedagogical principles and practices distinctive of TETBLT. This initial set of principles and practices were motivated by second language acquisition theories (Doughty & Long, 2003), methodological approaches in foreign language teaching (Kramsch, 2014), and state-of-the-art publications on computer-assisted language learning (Chapelle & Sauro, 2017). During the first phase of the study, we consulted an initial group of 34 experts in the field, using the Delphi technique to achieve gradual consensus about the set of principles. After analyzing the first set of responses (N = 23) to the principles, which attained a degree of agreement averaging 71% and ranging from 48% to 96%, we refined the principles incorporating the feedback received and sent out a second questionnaire, which allowed us to reach a consensus about a set of eight robust pedagogical principles for TETBLT.
Technology has been increasingly incorporated into the second language learning classroom and curriculum, highlighting the need for researchers and educators to consider how it has affected the tasks they facilitate, as well as their mediating effects on second language learning and teaching. This chapter explores how the unique advantages of various forms of technology can enhance and support the developmental and performance-related benefits of TBLT. We propose that technologies that follow a ‘learning by doing’ philosophy, facilitate learner involvement in everyday tasks, and provide spaces to engage with the language and other speakers are ideal tools to enact TBLT in ways that are not possible in traditional language classrooms. Examples of such tools and tasks are presented together with research that supports their effectiveness for language learning. The chapter ends with a look into the future of technology-mediated tasks, including some challenges that need to be resolved for the advancement of technology-mediated TBLT.
A telecollaborative language exchange program was implemented between Italian learners of English (from Roma Tre University) and Californian learners of Italian (from California State University, Long Beach). The main purpose was to give students more opportunities for meaningful and goal-oriented communication than they would usually have in their educational contexts. The program involved more than forty people of the two languages/cultures from October 2018 to May 2019. Learners’ needs were first identified in order to elaborate the tasks for the program, which was highly appreciated by the participants. Interesting suggestions for improvement were provided by the students, allowing us to revise the plan for a future implementation. In this case study, participants, structure and characteristics of the program are described, with a focus on needs analysis and task development. Examples of the teaching materials used in the program are provided.
This chapter analyses language contact between English and Spanish in the United States in terms of de Swaan’s (2002) World Language System, which explains – among other things – why US Spanish, a variety that is regarded as low-prestige on the US national level and among many Hispanophone traditionalists, has nevertheless become influential and attractive throughout the Spanish-speaking world. Inspired by Appadurai’s (1996) model of cultural globalisation, the concept of languagescapes is introduced to account for the dynamics of Spanish-English language mixing across a wide range of spoken and written domains. Spanish-English code-switching has already been studied extensively in conversational data. Where the chapter breaks new ground is in exploring the specific features of code-switching performances in literature and in computer-mediated communication, which have to be seen both in the context of sociolinguistic community norms in the United States and against the background of a global linguistic ecology in which both Spanish and English occupy very important positions.
This chapter outlines the evolution of Englishes outside of the British Isles, with particular attention to exploitation colonies. It looks at contact between the English-speaking and indigenous language communities during Britain’s trade and colonization ventures from the seventeenth through nineteenth centuries but also highlights circumstances predating British colonization often overlooked in the field, comprising a larger group of players, in a chain of contact, such as that among various Asian communities, and with the Portuguese. Features such as tone, particles, and mixed codes are discussed; although traditionally regarded as the outcome of imperfect learning, such restructuring illustrates how, with diverse ecologies and typologies, there are no constraints on the typology of the emergent World Englishes (WEs) varieties. Also underscored is the fact that the dynamics and outcomes of contact in WEs are not distinct from those observed in scenarios in which creole languages evolve. The chapter concludes by evaluating the current and future evolution of English from contemporary contact ecologies, including computer-mediated communication, the language teaching industry, and trade.
This chapter examines how computers and smartphones are used with (or instead of) face-to-face (F2F) interactions for relationship maintenance. After explicating two different definitions of the phrase “relationship maintenance,” we summarize research on the role of particular communication technologies in relationship maintenance. We argue that much contemporary relationship maintenance in romantic relationships occurs in mixed-media relationships, which occur when the “parties conduct in whole or in part through the use of multiple media, including F2F” (Parks). The primary focus of this chapter is on the maintenance of romantic relationships, yet we also review research on other types of relationships when the processes examined seem applicable to close relationships more broadly. We conclude with several important points for future research on relational maintenance and communication technologies, including recognizing that (a) even though technologies can help people maintain their relationships, they also can create burdens and problems; (b) the way people use technologies influences the effects of those technologies in relationships; (c) there is a need for more research on the specific behaviors using technologies in romantic relationships; and (d) even with the rise of communication technologies, face-to-face maintenance behaviors remain important.
This study analyzes language choice, bi- and multilingualism, and gender in a corpus of over 22 million Twitter messages by almost 36,000 authors from the Nordic countries and territories. Author location, gender, and tweet language are identified using a novel method. Three principal findings are discussed: First, gendered preference for particular languages in the Nordics can be explained in part by patterns of gendered migration. Second, a distinct geographical pattern of female/male preference for the national languages of the region and for English is evident for users who are likely native users of a Nordic language: Females are more likely to use English, while males are more likely to use a Nordic language. Third, while high rates of bi- and multilingualism are found across the whole sample, males are more likely to use more than one language in all the Nordic countries/territories. The latter two findings are interpreted in light of sociolinguistic considerations as evidence for incipient language shift towards English for Nordic users on the Twitter platform.