ChatGPT has created considerable anxiety among teachers concerned that students might turn to large language models (LLMs) to write their assignments. Many of these models are able to create grammatically accurate and coherent texts, thus potentially enabling cheating and undermining literacy and critical thinking skills. This study seeks to explore the extent LLMs can mimic human-produced texts by comparing essays by ChatGPT and student writers. By analyzing 145 essays from each group, we focus on the way writers relate to their readers with respect to the positions they advance in their texts by examining the frequency and types of engagement markers. The findings reveal that student essays are significantly richer in the quantity and variety of engagement features, producing a more interactive and persuasive discourse. The ChatGPT-generated essays exhibited fewer engagement markers, particularly questions and personal asides, indicating its limitations in building interactional arguments. We attribute the patterns in ChatGPT’s output to the language data used to train the model and its underlying statistical algorithms. The study suggests a number of pedagogical implications for incorporating ChatGPT in writing instruction.

ChatGPT and other LLMs are at the forefront of pedagogical considerations in classrooms across the academy. Many studies have spoken to the technology’s capacity to generate one-off texts in a variety of genres. This study complements those by inquiring into its capacity to generate compelling texts at scale. In this study, we quantitatively and qualitatively analyze a small corpus of generated texts in two genres and gauge it against novice and published academic writers along known dimensions of linguistic variation. Theoretically, we position and historicize ChatGPT as a writing technology and consider the ways in which generated text may not be congruent with established trajectories of writing development in higher education. Our study found that generated texts are more informationally dense than authored texts and often read as dialogically closed, “empty,” and “fluffy.” We close with a discussion of potentially explanatory linguistic features, as well as relevant pedagogical implications.

Scholars in discourse studies have defined legitimation as the justification (and critique) of powerful institutions and their practices. In moments of crisis, legitimation tactics often shift. This article considers how such shifts are incited by unauthorized information leaks. Leaks, I argue, constitute freshly available texts that reveal privileged institutional information presented in a specialized rhetorical style. To explore how leaks are harnessed by institutional critics, I examine the 2013 Snowden/National Security Agency (NSA) crisis. Combining corpus analysis with discourse analysis, I explore how Snowden’s NSA leaks affected the online writing of the American Civil Liberties Union (ACLU). I also consider overlaps between the rhetorical patterns in the leaked NSA documents and those in the ACLU’s post-leaks writing. Findings from my analysis of legitimation and style categories suggest that, prior to the leaks, ACLU writers primarily used a character- and narrative-based style to delegitimize the NSA’s policies as illegal and secretive, and to push for their reform. After the leaks, though, the ACLU mainly used an informationally dense style rife with academic terms and vocabularies of strategic action, portraying NSA surveillance as massive and complex. As the documents moved from the NSA’s secret, technical discourses to public, critical discourses, the latter came to resemble the former rhetorically. These findings raise crucial questions about how critics can make use of leaks without necessarily relegitimizing institutional power.

This article examines the impact of the sociodemographic profile (including age, gender, and educational track) of Flemish adolescents (aged 13–20) on lexical aspects of their informal online discourse. The focus on lexical and more “traditional,” print-based aspects of literacy is meant to complement previous research on sociolinguistic variation with respect to the use of prototypical features of social media writing. Drawing on a corpus of 434,537 social media posts written by 1,384 teenagers, a variety of lexical features and related parameters is examined, including lexical richness, top favorite words, and word length. The analyses reveal a strong common ground among the adolescents with respect to some features but divergent writing practices by different groups of teenagers with regard to other parameters. Furthermore, this study analyzes both standardized versions of social media messages and the original utterances (including nonstandard markers of online writing). Strikingly, different results emerge with respect to adolescents’ exploitation of more traditional versus digital literacy skills in relation to their sociodemographic profile, especially with respect to sentiment expression (verbal versus typographic/pictorial). The study suggests that the inclusion of nonverbal communicative strategies, for instance in language teaching, might be a pedagogical asset, since these strategies are eagerly adopted by teenagers who show proof of less developed traditional writing skills.

At a multinational company, daily written communication between staff, supervisors, customers, and suppliers is frequently conducted using digital tools (e.g., emails, smartphones, and texting applications) often across multiple nationally, linguistically, and conceptually defined borders. Determining digital tools’ impact on intercultural encounters in professional environments like these is difficult but important given the sheer volume of digital contact in technical and professional environments and the ongoing global struggle to broker peace and productivity amid communities’ many perceived differences. Using examples drawn from a case study of binational manufacturing sister companies, I build on recent work in professional, networked written communication to analyze two WhatsApp exchanges, one between a central study participant and his customer, another between the participant and an employee. This study shows how asynchronous digital communication tools created complex “silences” in writing between participants. In these silences (e.g., a lack of or delayed response to a text) individuals try to explain others’ actions for themselves. Drawing on a combination of third-generation activity theory and Latourian actor-network theory, I show that while explaining others’ actions in writing with whatever cultural shorthand is available may remain a common part of everyday life and research, it can be a poor guide for explaining others’ actions, especially in digital writing. My study shows how research of, and instruction in, digital tool use in intercultural writing contexts requires attention to the material conditions and objectives potentially shaping one’s own as well as others’ composition choices.

This study examines the revision histories of 10 Wikipedia articles nominated for the site's Featured Article Class (FAC), its highest quality rating, 5 of which achieved FAC and 5 of which did not. The revisions to each article were coded, and the coding results were combined with a descriptive analysis of two representative articles in order to determine revision patterns. All articles in both groups showed a higher percentage of additions of new material compared to deletions and revisions that rearranged the text. Although the FAC articles had roughly equal numbers of content and surface revisions, the non-FAC articles had fewer surface revisions and were dominated by content revisions. Although the unique features of the Wikipedia environment inhibit strict comparisons between these results and those of earlier revision studies, these results suggest revision in this environment places unique structural demands on writers, possibly leading to unique revision patterns.

Frequently writing is now no longer the central mode of representation in learning materials—textbooks, Web-based resources, teacher-produced materials. Still (as well as moving) images are increasingly prominent as carriers of meaning. Uses and forms of writing have undergone profound changes over the last decades, which calls for a social, pedagogical, and semiotic explanation. Two trends mark that history. The digital media, rather than the (text) book, are more and more the site of appearance and distribution of learning resources, and writing is being displaced by image as the central mode for representation. This poses sharp questions about present and future roles and forms of writing. For text, design and principles of composition move into the foreground. Here we sketch a social semiotic account that aims to elucidate such principles and permits consideration of their epistemological as well as social/pedagogic significance. Linking representation with social factors, we put forward terms to explore two issues: the principles underlying the design of multimodal ensembles and the potential epistemological and pedagogic effects of multimodal designs. Our investigation is set within a research project with a corpus of learning resources for secondary school in Science, Mathematics, and English from the 1930s, the 1980s, and from the first decade of the 21st century, as well as digitally represented and online learning resources from the year 2000 onward.