This study investigates how the linguistic style of CEO digital communication influences audience engagement. Using an NLP pipeline with a panel regression model on a data set of 19,566 tweets from CEOs, this study reveals that linguistic clarity and an on-platform focus are the most robust predictors of engagement; syntactic complexity and the inclusion of external URLs consistently deter engagement metrics. The effects of stylistic choices like emojis and hashtags are less consistent and depend on the type of engagement being measured. These results offer an expanded understanding of digital communication for CEOs and provide direct implications for business communication pedagogy.

This article presents findings from a rhetorical analysis of job advertisements posted by the fastest growing companies in the United States ( Inc. 5000 rankings). The analysis suggests that companies rely on standard rhetorical figures and share similar rhetorical visions of novelty that likely effect their organizational culture, paradoxically make them homogeneous, and potentially oversell positions that require prosaic job duties. Suggestions to authors of job advertisements include writing with fewer clichés and metaphors, since they tend to reify ageist stereotypes. Suggestions for job seekers include doing rhetorical analyses of advertisements and writing résumés so they comply with job advertisements’ creative rhetorical styles.