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Existing studies on the relationship between task description and task performance are insufficient, with many studies considering description length rather than content to measure quality or only evaluating a single aspect of task performance. To address this gap, this study analyzes the linguistic styles of task descriptions from 2,545 tasks on the Taskcn.com crowdsourcing platform.

An empirical analysis was completed for task description language styles and task performance. The paper used text mining tool Simplified Chinese Linguistic Inquiry and Word Count to extract eight linguistic styles, namely readability, self-distancing, cognitive complexity, causality, tentative language, humanizing personal details, normative information and language intensity. And it tests the relationship between the eight language styles and task performance.

The study found that more cognitive complexity markers, tentative language, humanized details and normative information increase the quantity of submissions for a task. In addition, more humanized details and normative information in a task description improves the quality of task. Conversely, the inclusion of more causal relationships in a task description reduces the quantity of submissions. Poorer readability of the task description, less self-estrangement and higher language intensity reduces the quality of the task.

This study first reveals the importance of the linguistic styles used in task descriptions and provides a reference for how to attract more task solvers and achieve higher quality task performance by improving task descriptions. The research also enriches existing knowledge on the impact of linguistic styles and the applications of text mining.

This chapter introduces linguistic delivery style to auditing research, demonstrates how linguistic delivery style relates to client credibility, and shows how linguistic delivery style and client credibility influences auditors’ judgment. Two hundred auditors participated in an analytical procedures task. The results indicate that high client credibility and powerful linguistic delivery style increase the auditor's assessed likelihood that the explanation accounts for the fluctuation and decrease their intent to perform additional testing. Moreover, powerless linguistic delivery style from an otherwise high credibility client leads to auditor judgments and intentions that are indistinguishable from those that arise from a low credibility client. Finally, evidence indicates that linguistic delivery style is a fourth component of credibility.

This paper aims to investigate the informativeness of rhetorical impression management patterns of CEO letters and examines whether these rhetorical features affect financial analysts’ forecasting behaviour.

The authors use textual analysis on a sample of 526 CEO letters of US firms and apply factor analysis on individual linguistic style measures to identify co-occurrence patterns of style features.

The authors identify three holistic style patterns (assertive acclaiming, cautious plausibility-based framing and logic-based rationalizing) and find that assertive rhetorical feature in CEO letters is negatively related with the dispersion of financial analysts’ earnings forecasts and positively associated with earnings forecast accuracy. CEOs’ use of a rationalizing rhetorical pattern tends to decrease the dispersion of financial analysts’ earnings, whereas a cautious plausibility-based rhetorical position is only marginally instrumental in getting more accurate earnings predictions.

Whilst impression management communication is often theorized as manipulative and void of real information content, the findings suggest that impression management serves both self-presentation and information-sharing purposes.

This paper elaborates on the co-occurrence of style characteristics in management communication and is a first attempt to validate the external ramifications of holistic style profiles of corporate narratives by focusing on an economic target audience.

Strategy scholars have widely recognized the central role that narratives play in the construction of organizational identities. Moreover, storytelling is an important strategic asset that firms can leverage to inspire employees, excite investors and engage customers' attention. This chapter illustrates how advancements in computational linguistic may offer opportunities to analyze the stylistic elements that make a story more convincing. Specifically, we use a topic model to examine how narrative conventionality influences the performance of 78,758 craftsmen selling their handmade items in the digital marketplace of Etsy. Our findings provide empirical evidence that effective narratives display enough conventional features to align with audience expectations, yet preserve some uniqueness to pique audience interest. By elucidating our approach, we hope to stimulate further research at the interface of style, language and strategy.

The purpose of this study is to explore linguistic stylometric patterns encompassing lexical, syntactic, structural, sentiment and politeness features that are found in librarians’ responses to user queries.

A total of 462 online texts/transcripts comprising answers of librarians to users’ questions drawn from the Internet Public Library were examined. A Principal Component Analysis, which is a data reduction technique, was conducted on the texts and transcripts. Data analysis illustrates the three principal components that predominantly occur in librarians’ answers: stylometric richness, stylometric brevity and interpersonal support.

The results of the study have important implications in digital information services because stylometric features such as lexical richness, structural clarity and interpersonal support may interplay with the degree of complexity of user queries, the (a)synchronous communication mode, application of information service guideline and manuals and overall characteristics and quality of a given digital information service. Such interplay may bring forth a direct impact on user perceptions and satisfaction regarding interaction with librarians and the information service received through the computer-mediated communication channel.

To the best of the authors’ knowledge, the stylometric features encompassing lexical, syntactic, structural, sentiment and politeness using Principal Component Analysis have not been explored in digital information/reference services. Thus, there is an emergent need to explore more fully how linguistic stylometric features interplay with the types of user queries, the asynchronous online communication mode, application of information service guidelines and the quality of a particular digital information service.

To better understand executive communication on social media, the purpose of this paper is to examine the pattern of messages posted by chief executive officers (CEOs) on Twitter and their retweetability (rate of reposting by other users).

The study data comprises 1,068 original tweets randomly selected from all Fortune 1000 CEOs’ tweets in 2014. The impact of the contextual factors (industry background, activeness, and Twitter age) and content factors (content types, supplementary information, and linguistic features) on retweetability was examined through regression analyses.

CEOs tweet to share information and insights, to promote their companies or products, to update work or life status, and to interact with the public. Original insights, promotional messages, and seasonal greetings were most likely to be retweeted. CEOs’ backgrounds, usage of hashtags, and certainty of language were also positively associated with retweetability.

CEOs may enhance their online social influence through demonstrating leadership by sharing insights about their organization or industry and posting topical messages (e.g. season’s greetings). Furthermore, CEOs could use hashtags strategically to initiate or participate in discussions and promote their personal visibility.

This study is one of the first to evaluate how leaders of the largest companies in the USA communicate on Twitter. It contributes to a theoretical understanding of the factors underlying online influence – the influence of the status of the online communicator vs the message content on information forwarding.

This study aims to formulate a new framework for identifying deception in consumer reviews through the lens of interpersonal deception theory (IDT) and the persuasion knowledge model (PKM). It evaluates variables contributing to consumer intentions to purchase after reading deceptive reviews and proposes deception identification cues to be incorporated into the interpersonal communication theoretical framework.

The first study is qualitative and quantitative, based on sentiment and lexical analysis of 1,000 consumer reviews. The second study uses the US national consumer survey with a partial least squares partial least squares-structural equation modeling and a process-based mediation–moderation analysis.

This study shows deceptive characteristics that cannot be dissimulated by reviewing consumers that represent review legitimacy based on review valence, authenticity, formalism and analytical writing. The results also support the central role of consumer suspicion of an ulterior motive, with a direct and mediation effect regarding consumer emotions and intentions, including brand trust and purchase intentions.

This paper presents a new framework for identifying deception in consumer reviews based on IDT and PKM, adding new theoretical elements that help adapt these theories to written digital communication specificities. This study clarifies the role of suspicion in a deceptive communication context and shows the variables contributing to consumers’ purchase intention after reading deceptive reviews. The results also emphasize the benefits of lexical analysis in identifying deceptive characteristics of reviews.

Companies can consider the vulnerability of certain generations based on lower levels of suspicions and different linguistic cues to detect deception in reviews. Long-term, marketers can also implement deception identification practices as potential new business models and opportunities.

Policymakers and regulators need to consider critical deception cues and the differences in suspicion levels among segments of consumers in the formulation of preventative and deception management measures.

This study contributes to the literature by formulating a new framework for identifying deception in consumer reviews, adapted to the characteristics of written digital communication. This study emphasizes deception cues in electronic word-of-mouth and provides additional opportunities for theorizing deception in electronic communication.

By responding to scholarly calls, this study examines the environmental reports of LVMH and Kering. The study extends legitimacy theory to ascertain the credibility of the aforementioned luxury conglomerates' commitment to environmental sustainability.

A corpus-assisted discourse analysis centred upon the Global Reporting Initiative (GRI) guidelines is used to examine the environmental disclosures of LVMH and Kering.

The findings show inconsistencies due to the lack of brand-level reporting and reporting quality falls short of comparable sustainability reporting within each conglomerate and with one another. Selective and unbalanced reporting along with symbolic management undermines the legitimacy of sustainability efforts by LVMH and Kering.

Despite the increased attention paid to sustainable luxury, few studies critically analyse how luxury brands formally report on sustainability.

Begins by reviewing relevant literature to identify some of the features that are said to appear exclusively in e‐mails. Also highlights the main issues in the debate between those who embrace the new style of writing generated by e‐mail, and those who feel it is detrimental to communication. A total of 300 examples of e‐mails were obtained from a wide range of donors. Features counted included emoticons, acronyms and creative spelling. The lengths of texts and of sentences within them were amongst other calculations made. The data was grouped according to purpose: social, business personal and business impersonal. Users of e‐mail appear to be generally unconcerned with formalities. Although the sample of e‐mail texts was lucid, writers often dispense with traditions when opening their e‐mail, and their closings are informal. Social e‐mails involved the most creative sort of communication. Argues that the increased informality and lack of consistency of e‐mail texts is because e‐mail is a new medium where no clear guidelines exist. A standard for e‐mail communication might usefully be established, but such a standard should remain flexible.

Today, individuals use social media to express their opinions and feelings, which offers a living laboratory to researchers in various fields, such as management, innovation, technology development, environment and marketing. It is therefore necessary to understand how the language used in user-generated content and the emotions conveyed by the content affect responses from other social media users.

In this study, almost 700,000 posts from Twitter (as well as Facebook, Instagram and forums in the appendix) are used to test a conceptual model grounded in signaling theory to explain how the language of user-generated content on social media influences how other users respond to that communication.

Extending developments in linguistics, this study shows that users react negatively to content that uses self-inclusive language. This study also shows how emotional content characteristics moderate this relationship. The additional information provided indicates that while most of the findings are replicated, some results differ across social media platforms, which deserves users' attention.

This article extends research on Internet behavior and social media use by providing insights into how the relationship between self-inclusive language and emotions affects user responses to user-generated content. Furthermore, this study provides actionable guidance for researchers interested in capturing phenomena through the social media landscape.