This paper explores - ly adverbs in fictional reported speech. Specifically, it combines quantitative, corpus-based perspectives to qualitative analysis to investigate the co-occurrence of - ly adverbs and reporting verbs in 225 English novels (26M words). With an evidential basis significantly larger than what was taken into account by previous research, this paper offers both an overview of the frequency of usage of - ly adverbs in fictional reported speech and a detailed investigation of the most frequent patterns of co-occurrence between these adverbs and verbs. Moreover, building on the quantitative data, we propose a classification model of - ly adverbs that shows the main functions these items enact when used with reporting verbs. Overall, this paper contributes importantly to further our understanding of the stylistic role - ly adverbs play in fictional speech presentation, shedding light on both the patterns they create and the functions they enact.

This article pursues two main research aims. First, it examines how two politicians running for president in 2016 strategically drew on stereotypical tropes of Metropolitan New Yorkers to characterize themselves as brash and argumentative ‘tough guys’ from New York City and North New Jersey respectively in an effort to project strength and effectiveness as leaders. Second, it tests the extent to which Donald Trump’s abrasive persona was truly unique and norm-breaking upon his entrance into politics. Through comparative case studies of Trump and New Jersey Governor Chris Christie – both known for characterizing themselves as New York/New Jersey tough guys during the 2016 Republican primaries – this study examines their rhetorical styles prior to and during the 2016 primary debates. While both figures attracted attention for their impoliteness and blunt speech, only Trump successfully translated this into political success in the primaries and general election alike. While Christie’s brash rhetorical use of impoliteness maintained an image closely tied to that of a New Jersey tough guy, Trump’s tough-guy persona became increasingly idiomatic as his career developed from the 2000s. Moreover, Trump is found to use impoliteness strategies that are more gratuitously face-aggravating and ad hominem in nature. The data therefore confirms that Trump indeed entered politics as a more brash, offensive and norm-challenging politician even when compared to others, including those from his home region.

This paper empirically investigates how stylistic foregrounding affects narrative empathy toward unconventional characters, focusing on Daniel Keyes’s Flowers for Algernon (1959), a short story about a cognitively delayed janitor who, after a futuristic treatment, turns into a genius and then regresses to neurodivergence. Our questionnaire-based study compared readers’ empathic responses to original excerpts—rich in linguistic deviations mirroring the protagonist’s cognitive shifts—with responses to manipulated, stylistically neutral versions. Although we hypothesized that foregrounding would enhance empathy, quantitative data reported higher empathy scores for readers of the manipulated versions, though with no statistically significant differences between conditions. Regression analysis showed that aesthetic appreciation was the strongest predictor of state empathy. Foregrounding, conversely, emerged as a negative predictor, suggesting that salient stylistic features may distract from emotional immersion for some readers. However, collected post-reading reflections suggest that foregrounding fosters stronger emotional connections by creating more challenging emotional reactions, as readers become progressively involved in the narrator’s developments and regressions that materialize in his writing style. We provide multiple interpretations of the observed effects of foregrounding in relation to personal factors and the specific literary specimen, highlighting that foregrounding can both enhance and inhibit empathy depending on reader characteristics such as language proficiency and aesthetic sensitivity. While accessibility may facilitate immediate emotional connection, stylistic complexity appears to support reflective, often more intense responses. This study highlights the multifaceted role of literary style in shaping narrative empathy and suggests the need to account for individual reader differences in future empirical research.

Language is not necessary to narrate even quite complex tales; indeed, stories can be narrated completely visually. This paper analyses Marc-Antoine Mathieu’s entirely wordless → – also known as Sens – published in 2014, to demonstrate that viewers understand this graphic novel by drawing on (1) their knowledge of story conventions; (2) their comprehension of the ways in which the medium of the graphic novel is able to narrate; (3) their embodied awareness of image schemas, specifically the SOURCE-PATH-GOAL , FORCES , and BALANCE schemas that are at the root of the LIFE IS A JOURNEY metaphor; (4) familiarity with any other pertinent artistic texts and cultural knowledge they happen to be able to recruit. In this way, the paper aims to show the interrelation between visual communication and cognition; to contribute to the study of comics and graphic novels; and to pay tribute to Mathieu’s amazing work of art.

Heidi, a quintessential Swiss fictional character, has left an enduring imprint on global culture, surpassing the confines of mere literature to become a cultural phenomenon. Our study delves into the timeless allure of Spyri’s novel by examining its portrayal of spatial and emotional dimensions. Using a mixed-method approach that combines computational methods and human annotations, this paper aims to provide a comprehensive understanding of the relationship between emotional content and landscape representation in Heidi , emphasizing the narrative’s reverential treatment of nature’s influence and reaffirming the novel’s dichotomous depiction of nature versus urbanity. Our investigation also exposes, however, disparities between computational sentiment analysis and human interpretations, underscoring some of the limitations of lexicon-based sentiment analysis methods. By advocating for a holistic approach that amalgamates computational techniques with human insights, we advocate for a nuanced understanding of sentiment analysis in literary works, one that acknowledges the subtleties and complexities woven into the narrative. We call for continued exploration to refine sentiment lexicons, explore sentiment variation across diverse literary genres and cultural contexts, and delve deeper into the interplay between sentiment and fictional space.