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1 – 10 of 230Hyerim Cho, Wan-Chen Lee, Li-Min Huang and Joseph Kohlburn
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…
Abstract
Purpose
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.
Design/methodology/approach
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.
Findings
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.
Originality/value
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.
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Wan-Chen Lee, Li-Min Cassandra Huang and Juliana Hirt
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…
Abstract
Purpose
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.
Design/methodology/approach
An online survey was distributed to a US public university to recruit adult fiction readers. In total, 64 participants completed the survey.
Findings
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.
Originality/value
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.
Sarah Jerasa and Sarah K. Burriss
Artificial intelligence (AI) has become increasingly important and influential in reading and writing. The influx of social media digital spaces, like TikTok, has also shifted the…
Abstract
Purpose
Artificial intelligence (AI) has become increasingly important and influential in reading and writing. The influx of social media digital spaces, like TikTok, has also shifted the ways multimodal composition takes place alongside AI. This study aims to argue that within spaces like TikTok, human composers must attend to the ways they write for, with and against the AI-powered algorithm.
Design/methodology/approach
Data collection was drawn from a larger study on #BookTok (the TikTok subcommunity for readers) that included semi-structured interviews including watching and reflecting on a TikTok they created. The authors grounded this study in critical posthumanist literacies to analyze and open code five #BookTok content creators’ interview transcripts. Using axial coding, authors collaboratively determined three overarching and entangled themes: writing for, with and against.
Findings
Findings highlight the nuanced ways #BookTokers consider the AI algorithm in their compositional choices, namely, in the ways how they want to disseminate their videos to a larger audience or more niche-focused community. Throughout the interviews, participants revealed how the AI algorithm was situated differently as both audience member, co-author and censor.
Originality/value
This study is grounded in critical posthumanist literacies and explores composition as a joint accomplishment between humans and machines. The authors argued that it is necessary to expand our human-centered notions of what it means to write for an audience, to co-author and to resist censorship or gatekeeping.
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Nove E. Variant Anna and Noraini Ismail
This paper aims to explore the possibility of the use of TikTok for delivery virtual literacy instruction for Z generation to support their learning.
Abstract
Purpose
This paper aims to explore the possibility of the use of TikTok for delivery virtual literacy instruction for Z generation to support their learning.
Design/methodology/approach
A review of papers related to TikTok and library instruction is presented, and some libraries that use TikTok to deliver instruction are observed.
Findings
Some libraries already use TikTok as a supplementary of social media to deliver instruction, due to the nature of TikTok is for short video up to 3 minutes, therefore it is good if librarian can design instruction in chunking basis, or bite size so users will easily engage.
Originality/value
The use of TikTok for library instruction is still new, and this will bring value to libraries, especially academic library when they want start to use TikTok for their instruction.
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Julie Stubbs, Sophie Russell, Eileen Baldry, David Brown, Chris Cunneen and Melanie Schwartz
Grégory Jemine, François-Régis Puyou and Florence Bouvet
Increasingly, emerging information technologies such as shared software and continuous accounting are offering alternative ways to perform accounting tasks in a supposedly more…
Abstract
Purpose
Increasingly, emerging information technologies such as shared software and continuous accounting are offering alternative ways to perform accounting tasks in a supposedly more efficient fashion. Yet, few studies have investigated how they affect the provision of accounting services, especially in the context of small accounting firms, which provide legal and tax services to entrepreneurs and businesses. Drawing on the service perspective, the paper critically examines how technological innovation challenges and reconfigures the co-production of accounting services in these firms.
Design/methodology/approach
The paper answers calls issued in prior studies to conduct empirical research on emerging information technologies for accountants. It focuses on the specific context of small accounting firms and draws on interviews with small accounting firms' managers (n = 20).
Findings
The study emphasizes five significant challenges that accounting firm managers face when using information technologies to support the provision of their services (ensuring reliability, factoring in their heterogeneous client base, repricing, training clients to use new technologies and promoting advisory services). Information technologies are shown to have a structuring role in the co-production of accounting services, as they lead to reconfigurations of the relationships between accountants and their clients. A range of four configurations is developed to highlight accountants' strategies to maintain collaborative relationships with their clients while integrating new technologies into their work practices.
Originality/value
By conceptualizing accounting services as a co-production process, the paper offers new insights into the implications of emerging information technologies for small accounting firms.
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Artificial intelligence (AI) is one of the emerging technologies of this time. AI is a widely used technology in library services that can transform the best services in the age…
Abstract
Purpose
Artificial intelligence (AI) is one of the emerging technologies of this time. AI is a widely used technology in library services that can transform the best services in the age of information technology. This paper aims to highlight the use of AI in library operations. Several research has been undertaken on this subject, but that only address a few applications. AI and libraries have a substantial nexus; nevertheless, the use and awareness of AI in library services are still creating question marks addressed in this paper. This study will help the policy stakeholder, librarians and scholars in the field to address these issues before the deployment of AI in library services.
Design/methodology/approach
This study is based on a qualitative method using content analysis techniques. An extensive review of literature on “artificial intelligence”, “smart libraries” was carried to ascertain the emerging technologies in the smart library domain. Literature was searched against various keywords like artificial intelligence, smart technologies, Internet of Things, electronic resource management, data mining and ambient intelligence. This study highlights the pros and cons of AI in library services and its possible solutions.
Findings
The findings of this study show that AI is a vibrant technology that can be used in library services; however, some obstacles like adequate funds, the attitude of librarians and technical skills are a few obstacles that hamper AI in library operations. The findings also reveal that using AI in library operations will accelerate libraries in the right direction. Furthermore, this study highlights various applications that can be deployed without spending costs.
Practical implications
This paper may be of interest to academic, librarians, policymakers, researchers and the government to have a perspective on initiatives in the country on application of technology in library services. This study can introduce the current status and potential of this technology to bring the technology revolution in library and information center services.
Social implications
This study will motivate library professionals to take advantage of AI in library services and further accelerate library operations in the right direction.
Originality/value
This study covers the understanding of AI in library services that will help the librarian’s and information professionals leverage AI in library scenarios. Furthermore, the practical implication of AI in library services will bring positive change in implementing AI.
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Erin McGaffigan, Dani Skenadore Foster, Sophia Webber and Missy Destrampe
The application of user involvement in the design and implementation of research has progressed through various frameworks and is an increasingly recognized and expected as a key…
Abstract
The application of user involvement in the design and implementation of research has progressed through various frameworks and is an increasingly recognized and expected as a key element of ethical research methodologies. The practice of engaging users (the public, patients, service recipients, etc.) beyond the traditional scope of subject, and elevating their role as partner or co-designer of the research process, is theoretically rooted in civil rights and social justice ideologies. The success of these types of models are influenced by various factors including the people involved, their capacities and values; the physical and funding environment in which the research occurs and the approaches used to engage. In theory, user involved research is most successful when the people, approaches and environment are genuinely interested and centralized around inclusive methods that posit that populations researched have the right to contribute to research done and researchers have the ethical responsibility to engage them using measurable strategies. User involved research frameworks have the potential to create a space that both values and uplifts historically marginalized voices, while touting the demonstrated advantage of improved effectiveness in research outcomes and implications. Yet there exists a dissonance between theory and practice in the field, due to a lack of consistent understanding, practices and standards tied to the approach.
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Kristina K. Lindsey-Hall, Eric J. Michel, Sven Kepes, Ji (Miracle) Qi, Laurence G. Weinzimmer, Anthony R. Wheeler and Matthew R. Leon
The purpose of this manuscript is to provide a step-by-step primer on systematic and meta-analytic reviews across the service field, to systematically analyze the quality of…
Abstract
Purpose
The purpose of this manuscript is to provide a step-by-step primer on systematic and meta-analytic reviews across the service field, to systematically analyze the quality of meta-analytic reporting in the service domain, to provide detailed protocols authors may follow when conducting and reporting these analyses and to offer recommendations for future service meta-analyses.
Design/methodology/approach
Eligible frontline service-related meta-analyses published through May 2021 were identified for inclusion (k = 33) through a systematic search of Academic Search Complete, PsycINFO, Business Source Complete, Web of Science, Google Scholar and specific service journals using search terms related to service and meta-analyses.
Findings
An analysis of the existing meta-analyses within the service field, while often providing high-quality results, revealed that the quality of the reporting can be improved in several ways to enhance the replicability of published meta-analyses in the service domain.
Practical implications
This research employs a question-and-answer approach to provide a substantive guide for both properly conducting and properly reporting high-quality meta-analytic research in the service field for scholars at various levels of experience.
Originality/value
This work aggregates best practices from diverse disciplines to create a comprehensive checklist of protocols for conducting and reporting high-quality service meta-analyses while providing additional resources for further exploration.
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Artificial intelligence (AI) is one of the emerging technologies of this time. It has been associated with several trades like business, defense, health and education, but its…
Abstract
Purpose
Artificial intelligence (AI) is one of the emerging technologies of this time. It has been associated with several trades like business, defense, health and education, but its role in library services will foster intelligent decisions. AI is a widely used technology in library services that can transform the best services in the age of information technology. This paper aims to highlight the use of AI in library operations. Several research have been undertaken on this subject, but that only address a few applications. This paper highlights the pros and cons of AI in library services. AI and libraries have a substantial nexus; nevertheless, the use and awareness of AI in library services are still creating question marks addressed in this paper. This study will help the policy stakeholder, librarians and scholars in the field to address these issues before the deployment of AI in library services.
Design/methodology/approach
This study is based on a qualitative method using content analysis techniques. Extant literature was explored on the subject and was analyzed for this study. This study highlights the pros and cons of AI in library services and its possible solutions.
Findings
The findings of this study show that AI is a vibrant technology that can be used in library services; however, some obstacles like adequate funds, the attitude of librarians and technical skills are a few obstacles that hamper AI in library operations. The findings also reveal that using AI in library operations will accelerate libraries in the right direction. Furthermore, this study highlights various applications that can be deployed without spending costs.
Originality/value
This study covers the understanding of AI in library services that will help the librarian's information professionals leverage AI in library scenarios. Furthermore, the practical implication of AI in library services will bring positive change in implementing AI. Social implications: This study will motivate library professionals to take advantage of AI in library services and further accelerate library operations in the right direction.
Details