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Readers articulate mood in deeply subjective ways, yet the underlying structure of users' understanding of the media they consume has important implications for retrieval and access. User articulations might at first seem too idiosyncratic, but organizing them meaningfully has considerable potential to provide a better searching experience for all involved. The current study develops mood categories inductively for fiction organization and retrieval in information systems.

The authors developed and distributed an open-ended survey to 76 fiction readers to understand their preferences with regard to the affective elements in fiction. From the fiction reader responses, the research team identified 161 mood terms and used them for further categorization.

The inductive approach resulted in 30 categories, including angry, cozy, dark and nostalgic. Results include three overlapping mood families: Emotion, Tone/Narrative, and Atmosphere/Setting, which in turn relate to structures that connect reader-generated data with conceptual frameworks in previous studies.

The inherent complexity of “mood” should not dissuade researchers from carefully investigating users' preferences in this regard. Adding to the existing efforts of classifying moods conducted by experts, the current study presents mood terms provided by actual end-users when describing different moods in fiction. This study offers a useful roadmap for creating taxonomies for retrieval and description, as well as structures derived from user-provided terms that ultimately have the potential to improve user experience.

This study aims to explore the application of emojis to mood descriptions of fiction. The three goals are investigating whether Cho et al.'s model (2023) is a sound conceptual framework for implementing emojis and mood categories in information systems, mapping 30 mood categories to 115 face emojis and exploring and visualizing the relationships between mood categories based on emojis mapping.

An online survey was distributed to a US public university to recruit adult fiction readers. In total, 64 participants completed the survey.

The results show that the participants distinguished between the three families of fiction mood categories. The three families model is a promising option to improve mood descriptions for fiction. Through mapping emojis to 30 mood categories, the authors identified the most popular emojis for each category, analyzed the relationships between mood categories and examined participants' consensus on mapping.

This study focuses on applying emojis to fiction reading. Emojis were mapped to mood categories by fiction readers. Emoji mapping contributes to the understanding of the relationships between mood categories. Emojis, as graphic mood descriptors, have the potential to complement textual descriptors and enrich mood metadata for fiction.

The authors’ goal is to investigate variations in the writing style of book reviews published on different social reading platforms and referring to books of different genres, which enables acquiring insights into communication strategies adopted by readers to share their reading experiences.

The authors propose a corpus-based study focused on the analysis of A Good Review, a novel corpus of online book reviews written in Italian, posted on Amazon and Goodreads, and covering six literary fiction genres. The authors rely on stylometric analysis to explore the linguistic properties and lexicon of reviews and the authors conducted automatic classification experiments using multiple approaches and feature configurations to predict either the review's platform or the literary genre.

The analysis of user-generated reviews demonstrates that language is a quite variable dimension across reading platforms, but not as much across book genres. The classification experiments revealed that features modelling the syntactic structure of the sentence are reliable proxies for discerning Amazon and Goodreads reviews, whereas lexical information showed a higher predictive role for automatically discriminating the genre.

The high availability of cultural products makes information services necessary to help users navigate these resources and acquire information from unstructured data. This study contributes to a better understanding of the linguistic characteristics of user-generated book reviews, which can support the development of linguistically-informed recommendation services. Additionally, the authors release a novel corpus of online book reviews meant to support the reproducibility and advancements of the research.

This paper aims to investigate how narrative is constructed to create connections with fat readers, how books function to envision spaces of fat liberation for young readers and to highlight the incredible importance of providing bigger mirrors (Bishop, 1990) for fat representation in children’s literature.

This paper analyzes and reflects on two texts that contain counternarratives of fatness: The (Other) F Word: A celebration of the fat and fierce edited by Angie Manfredi (2019) and Big by Vashti Harrison (2023) to interrogate how these two narratives intentionally disrupt anti-fat bias.

Body size and fatness are identities that need to be included in diversity efforts within education. Books like The (Other) F Word: A celebration of the fat and fierce (Manfredi, 2019) and Big (Harrison, 2023) offer positive representations of fatness, disrupt biases around body size and provide spaces that allow fat students to find joy, hope, connection and, more than anything, imagine a way toward liberation.

This paper highlights the need to include more narratives of positive fat representation within children’s literature and calls for educators to interrogate their own anti-fat biases and practices.

There is a lack of research on fat representation specifically within children and young adult literature. This paper provides an analysis of two pieces of literature with fat representation that brings attention to the need for this type of future research.

While popular genre fictions like detective novels are often centred around formulaic plots and stereotypical characters, they also undergo several exciting changes when adapted in a diverse array of cultural and linguistic contexts. My chapter examines the first female detective of a Bangla crime writing series, Detective (Goyenda) Krishna as a figure that challenges patriarchal stereotypes related to violent women and dismantles the illusory neatness of binaries associated with ‘good’ and ‘bad’ femininity. The gun-toting, vengeance-seeking literary detective is also examined as mediating shifts and transitions in gendered practices and norms in Bengal – its socio-political as well as literary contexts – as it negotiated ideas of decoloniality from the first decade of the twentieth century and emerged as part of a new, partitioned nation in 1947. She is seen as a creative response to the changes related to gender that had been gradually taking shape in colonised Bengal and as articulating radically re-imagined possibilities and opportunities related to female subjectivities in a newly decolonised nation.

Mobile apps usually have a short lifespan, and this prevents the majority from surviving long enough to generate revenue for their developers. To address this issue, this study aims to recognize the role of engagement and immersion and develops a cognitive-affective theoretical framework to associate these factors with the lifespan of an app. Moreover, the authors focus on gaming apps because of their dominance on mobile platforms, and because a few of them become lucrative while the majority perish within a few weeks.

This study uses a longitudinal survey-based approach to collect data on one of the popular gaming apps (Pokémon Go), which received international attention. The design focuses on identifying factors that extend the lifespan of the app and affects users’ decision to continue or stop using the app over time. The authors use the survival analysis and structural equation modeling to analyze the theoretical framework.

The authors find the centrality of the users’ experience of immersion to extend the mobile app lifespan. Engagement influences immersion and immersion predicts users’ decision to continue or stop using the app. Users’ experience of immersion increases the probability of the apps’ survival by 12%.

To the best of the authors’ knowledge, this is the only study that proposes a theoretical framework, meticulously investigates the factors that can lead to survival of a mobile app and uses longitudinal data for the empirical analysis.

Chinese internet literature (CIL) platforms afford freedom for creative expression and opportunities for direct interactions between writers and fans and among fans. Enabled by these platforms' technological and commercial arrangement, a new form of literary production and consumption has emerged, the most significant of which is the role of fans participation. A social network analysis of the interaction patterns in online fan communities was conducted to investigate fan communication activities at scale. Of particular interest is how the socio-technical system of the site influences its network topology.

Online forums for 10 popular fiction titles in Qidian, the leading CIL platform, were analyzed. Social networks were constructed based on a post–reply–reply threaded discussion structure. Various aspects of fan interactions were analyzed, including number of replies per post, post length and emerging network patterns.

Similarities in network topology shared by CIL fan forums and other online communities, such as small-world and scale properties, were discovered; however, distinct network dynamics were also identified. Consistent with previous findings, writers and moderators, along with a few highly ranked fans, occupied the central positions in the network. This was due to their social roles and the nature of their posts rather than, as the conventional explanation goes, preferential attachment.

The findings demonstrate how community-specific circumstances and norms influence interaction patterns and the resultant network structure. It was revealed that in the CIL sites, the users adopted the technologies in unexpected ways. And the resulting network topology can be attributed to the interplay between the sites' official arrangement and users' adaptive tactics.

The peer review history for this article is available at: https://publons.com/publon/10.1108/OIR-11-2021-0596.

This study aims to examine the imagining of libraries and the depiction of library services in contemporary science fiction novels. Analyses of libraries in contemporary science fiction may reveal expectations of libraries and the roles they play in future societies. These may, in turn, be used by the library profession to innovate and to discover opportunities to design and improve library services that meet the expectations of library users now and in the future.

This research applied a content analysis approach to examine references to libraries in a purposeful sample of science fiction novels published between 2009 and 2019. The sample consists of 29 novels selected from the 2010–2020 winners of the Hugo Award for Best Novel, The Nebula Award for Best Novel, the Locus Award for Best Science Fiction Novel, The Philip K Dick Award and the Arthur C Clarke Award.

This research finds that libraries are a common feature within contemporary science fiction novels, primarily as part of the background setting of the narratives. Libraries are particularly common in peri-apocalyptic novels, often as “reinvented” libraries. This research identifies considerable differences in the way libraries and information access and use are depicted and documented in science fiction worlds of plenty, compared to those of scarcity. Other key themes discussed include freedom of access to information, and the supposedly common negative stereotyping of libraries.

Existing literature indicates anxiety about the future of libraries which the findings of this research do not support. The insights gained suggested instead, the emergence of an image of libraries as being embedded in the fabric of societies. This indicates the expectation of the place and role of libraries in contemporary societies. Libraries and their services must be adeptly placed and woven into the many facets of the societies they serve.

Providing equal opportunities in class as well as at home does not ensure equal promotion of leisure reading among girls and boys. Gender differences have wider impacts on their reading development. The purpose of this paper is to find out gender differences in leisure reading habits among children.

The search process was conducted during Aug.–Sept. 2019 using Scopus database. A total of 41 studies were selected for the review. The systematic review used Cochrane Methodologies reported as per preferred reporting items for systematic reviews and meta-analysis (PRISMA) guidelines for identification, evaluation and selection of studies. The studies that dealt with leisure reading, reported gender difference of reading, had age group of 4–18-year children, were in English language and were accessible to the researchers were selected for review.

The results were presented in terms of identified reading factors including reading frequency, reading choice, reading time, reading media, reading influence, reading value and library use. The girls were more frequent readers than boys. The girls were in favor of fiction, while boys were interested in reading nonfiction. Girls preferred online materials but boys were in favor of printed materials. The boys were influenced by their fathers and peer groups’ reading, while girls were influenced by their mothers’ reading habits.

The study provided better understanding of boys’ and girls’ reading differences and required the librarians, teachers and academic policymakers to deal with them accordingly.

To the best of the authors’ knowledge, this is the first kind of systematic review reporting difference of reading on the basis of gender and inferred reading factors. It will be helpful for librarians, teachers and academic policymakers to consider these differences while dealing with boys’ and girls’ reading choices and interests.

This study aims to explore the implications of a recent case in spring 2022 where the novel Dracula went “viral” as tens of thousands of Tumblr users participated in a serialized re-reading and discussion of the text through the hashtags #dracula and #dracula daily.

The authors use a mixed-methods sequential explanatory design approach (quant: topic modeling; qual: multimodal content analysis) to examine how users describe their own practices as well as top posts (more than 25,000 likes, comments and reblogs) in the first month of the collective reading of the novel.

The authors found that the serialization of Dracula made space for “wandering reading practices” (Chavez, 2010) relevant to this interpretive community on Tumblr. The quantitative methods determined specific affective, intertextual and serialized aspects of textual play that were salient to readers. In top posts themselves, the authors saw readers creating metaleptic content imagining characters like the protagonist Jonathan in other novels or contexts, as well as processing and playing with their collective emotional responses toward characters. Additionally, readers used irony or satire through multimodal compositions to create literary arguments.

Playfully analyzing literature together through intertextual connections and multimodal memes has the potential to be both emotionally resonant, culturally relevant and supportive of literary interpretive practices. Based on these findings, the authors provide suggestions for teachers working to embrace interpretive play in formal learning spaces.