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This paper aims to amplify the retrieval and utilization of historical newspapers through the application of semantic organization, all from the vantage point of a fine-grained knowledge element perspective. This endeavor seeks to unlock the latent value embedded within newspaper contents while simultaneously furnishing invaluable guidance within methodological paradigms for research in the humanities domain.

According to the semantic organization process and knowledge element concept, this study proposes a holistic framework, including four pivotal stages: knowledge element description, extraction, association and application. Initially, a semantic description model dedicated to knowledge elements is devised. Subsequently, harnessing the advanced deep learning techniques, the study delves into the realm of entity recognition and relationship extraction. These techniques are instrumental in identifying entities within the historical newspaper contents and capturing the interdependencies that exist among them. Finally, an online platform based on Flask is developed to enable the recognition of entities and relationships within historical newspapers.

This article utilized the Shengjing Times·Changchun Compilation as the datasets for describing, extracting, associating and applying newspapers contents. Regarding knowledge element extraction, the BERT + BS consistently outperforms Bi-LSTM, CRF++ and even BERT in terms of Recall and F1 scores, making it a favorable choice for entity recognition in this context. Particularly noteworthy is the Bi-LSTM-Pro model, which stands out with the highest scores across all metrics, notably achieving an exceptional F1 score in knowledge element relationship recognition.

Historical newspapers transcend their status as mere artifacts, evolving into invaluable reservoirs safeguarding the societal and historical memory. Through semantic organization from a fine-grained knowledge element perspective, it can facilitate semantic retrieval, semantic association, information visualization and knowledge discovery services for historical newspapers. In practice, it can empower researchers to unearth profound insights within the historical and cultural context, broadening the landscape of digital humanities research and practical applications.

This study aims to identify user perception of different qualities of optical character recognition (OCR) in texts. The purpose of this paper is to study the effect of different quality OCR on users' subjective perception through an interactive information retrieval task with a collection of one digitized historical Finnish newspaper.

This study is based on the simulated work task model used in interactive information retrieval. Thirty-two users made searches to an article collection of Finnish newspaper Uusi Suometar 1869–1918 which consists of ca. 1.45 million autosegmented articles. The article search database had two versions of each article with different quality OCR. Each user performed six pre-formulated and six self-formulated short queries and evaluated subjectively the top 10 results using a graded relevance scale of 0–3. Users were not informed about the OCR quality differences of the otherwise identical articles.

The main result of the study is that improved OCR quality affects subjective user perception of historical newspaper articles positively: higher relevance scores are given to better-quality texts.

To the best of the authors’ knowledge, this simulated interactive work task experiment is the first one showing empirically that users' subjective relevance assessments are affected by a change in the quality of an optically read text.

This study aims to identify current practices of environmentally friendly sustainable preventive conservation in Asian libraries.

This study uses a predominantly quantitative survey for data collection with a combination of open and closed questions. From 237 survey links sent, 22 responses were received from libraries in 16 Asian countries.

This study uncovers current practices in four areas of environmentally sustainable preventive conservation in Asia: collection preservation, environmental monitoring and management, integrated pest management, and collections care and handling. Challenges to implementing sustainable preventive conservation were also revealed.

The response rate was relatively low, and responses were not received from all countries in Asia. As such, while the study provides a starting point for further research, it cannot be assumed that the findings are representative of Asian libraries in general. In addition, some aspects of preventive conservation (for example, disaster preparedness, exhibition) and library preservation management were excluded from the study, and research on these topics, together with environmental and economic factors, is encouraged, along with qualitative research methods.

This study highlights the environmentally friendly sustainable initiatives that libraries employ in their preservation programmes and increases awareness of challenges to implementing those initiatives.

To date there has been little research on environmentally sustainable preventive conservation practices within Asia's libraries. This study therefore makes a valuable contribution to understanding current practices of preventive conservation in Asia.

Several studies have been conducted on social inequalities. Despite highlighting inequalities between the rich and poor, researchers often overlook the fact that disabled people in Africa are marginalised more than their counterparts elsewhere. Using critical discourse analysis (CDA) as a theory and data analysis method, this study sought to answer two questions: (1) What is reported about the inclusion of disabled people in using digital media? (2) How is it reported? Twenty-two articles were purposively sampled: 15 from Newsday and 7 from The Herald published between 20 November 2017 and 24 September 2022. Findings indicate that the two papers exposed marginalisation of disabled people in an educative and informative way and had erudite analysis from disabled columnists. This was successful because the papers relied on the disabled community as sources of information and contributors of published material. The papers also engaged stakeholders such as corporates, government and civil society organisations. It is recommended that other newspapers and many forms of mass communication provide a representation of people with different forms of disabilities. Future studies could seek the views of disabled communities about their presentation in the digital media through disabled writers and providers of information.

The purpose of this study is to understand the role and impact of gender on reading habits. It is an attempt to explore the probable reason why or why not gender differences take place concerning reading time, reading purpose, reading resources and digital devices among undergraduate students in the digital environment.

For this study, the researcher used a survey-based approach. To accomplish the study’s goals, a meticulously designed questionnaire has been disseminated among undergraduate students in selected colleges located in the western district of Tripura, a northeastern state in India.

The study found that female respondents have a slightly higher level of liking for reading than males. For both genders, the major purpose of reading is to enhance their knowledge unvaryingly. Furthermore, it has been observed that female respondents read electronic and print reading material more frequently compared to their male counterparts. Female respondents read fiction more frequently than males in print form. Both genders have more ease in reading print resources than digital resources. Among all digital devices, respondents are most competent at using mobile devices and prefer them for digital reading.

As part of the pilot study, investigators surveyed a limited sample population, where the participation of students was further lower because of the unavailability of students.

The gender-based level of competency with digital devices is studied as a variable among the adult population to measure its correlation with reading habits.

The effects of the spread of COVID-19 across the world are devastating, both from a health and an economic perspective. However, we also see encouraging examples of collaborative and innovative initiatives, in society and in organizations. The purpose of this paper is to focus on initiatives related to digital business model innovation. The authors explore how organizational characteristics provide a variety of opportunities for digital responses to the COVID-19 pandemic and discuss the potential consequences for the speed of digital transformation in organizations and society.

In this paper, the authors analyze how organizations attempt to mitigate the negative effects of fighting COVID-19 using digital business model responses. The authors draw on a qualitative study where they have collected data from the retail and service industries. They have analyzed the data in relation to theory to better understand this ongoing phenomenon.

The authors have identified four categories of organizations (crisispreneurs, accelerators, endurers and thrivers). Each category faces different challenges and shows a different intensity in their digital transformation. The authors propose that the rapid turn toward digital business models will have enduring effects, as organizations have gained transformational capabilities that will remain, and that the digital trajectory has, as a result, changed forever.

The findings in this paper point toward new challenges for leaders and policymakers in terms of how to support initiatives and meet the needs of different categories of organizations while simultaneously being conscious of the potential societal effects of this rapid digital shift. The authors hope that this paper can be of value for managing this shock and learning how to adapt for the future taking certain aspects of current business models as the departure point.

This paper constitutes the first academic study to be made of Google Discover as applied to online journalism.

This paper constitutes the first academic study to be made of Google Discover as applied to online journalism. The study involved conducting 61 semi-structured interviews with experts that are representative of a range of different professional profiles within the fields of journalism and search engine positioning (SEO) in Brazil, Spain and Greece. Based on the data collected, the authors created five semantic categories and compared the experts' perceptions in order to detect common response patterns.

This study results confirm the existence of different degrees of convergence and divergence in the opinions expressed in these three countries regarding the main dimensions of Google Discover, including specific strategies using the feed, its impact on web traffic, its impact on both quality and sensationalist content and on the degree of responsibility shown by the digital media in its use. The authors are also able to propose a set of best practices that journalists and digital media in-house web visibility teams should take into account to increase their probability of appearing in Google Discover. To this end, the authors consider strategies in the following areas of application: topics, different aspects of publication, elements of user experience, strategic analysis and diffusion and marketing.

Although research exists on the application of SEO to different areas, there have not, to date, been any studies examining Google Discover.

The peer-review history for this article is available at: https://publons.com/publon/10.1108/OIR-10-2022-0574

This chapter presents theoretical and empirical studies that investigate the influence of digital culture on the educational process of university students where mobile devices and the internet have become increasingly present as resources in everyday school life. The researchers investigate how such devices and the internet interact with university environments in ways that change the more traditional academic practices, such as reading, writing, and studying. Moreover, in the context of what has been widely labeled as humanities studies, interest has grown in understanding how “culture” may be studied via varied strands of interpretative lines of inquiry, each configured by different methods and ways of reflection. At master education levels, digital technology becomes even more present as a means of academic activity and, as a result, amplifies the impacts of digital culture on contemporary university culture. The purpose of this work is to study the concept of culture, digital culture, and scholarly culture, and, on a second approach, to review aspects of the development of communication methods and their impacts on university educational environments. As a methodological theoretical procedure, this research builds on authors who have raised practical and scholarly cultural questions, such as Pierre Bourdieu, Pierre Levy, Raymond Williams, Roger Chartier, Anne Marie Chartier, and Bernard Lahire, among others. This study engages in empirical research with students in an Advertising and Marketing course in a private higher educational institution in the city of Araraquara, which is located in the “interior” of the state of São Paulo in Brazil.

This study aims to demonstrate that the Dynamic Performance Management (DPM) framework, integrating performance management with system dynamics modelling, enables decision-makers to identify sustainable strategies in online food delivery platforms, thereby avoiding company failure.

This study undertakes a multistep methodological approach. After the literature review, a retrospective case study approach was used. To build the DPM framework and the system dynamics simulation model, primary and secondary data were collected and analysed.

This study by adopting the DPM perspective highlights the critical role performance drivers play to assess the viability of alternative growth strategies in food delivery digital platforms. As such, the findings complement extant studies which highlighted the need for adopting a dynamic perspective in Performance Measurement and Management (PMM), particularly in complex and turbulent environments. Findings also highlight that in food delivery platforms, network effects may result insufficient to reach a critical volume of users and factors such as key drivers impacting platform attractiveness must be considered to design effective PMM.

Future studies may apply the DPM framework here suggested to multiple digital platforms, to validate this study's findings.

This paper offers a guidance to practitioners and scholars to design effective PMM in food delivery digital platforms.

This study offers an innovative perspective to analyse the interdependences among main mechanisms underpinning the performance of food delivery platforms. As such, it contributes to enrich prior PMM literature and addresses the call for more empirical and theoretical PMM contributions in fast-changing and turbulent environments.

Alexa’s integration in rural primary schools has improved the pedagogy and has created an engaging and objective learning environment. This study investigates the integration, with a specific focus on exploring its various aspects. The impact of Alexa’s on students' English vocabulary, comprehension and public speaking are examined. This study aims to provide insights the teachers and highlight the potential of artificial intelligence (AI) in rural education.

This content analysis study explores the use of Alexa in primary education in rural areas of India. The study focuses on the types of the questions asked by the students and examines the pedagogical implications of these interactions. By analyzing the use of Alexa in rural educational settings, this study aims to contribute to our understanding of how voice assistants are utilized as educational tools in underprivileged areas.

Alexa significantly improved students' English vocabulary, comprehension and public speaking confidence. Alexa increased school enrollment and retention. Virtual voice assistants like Alexa may improve pedagogy and help India’s rural education. This study shows AI improves rural education.

The study only covers rural India. Self-reported data and observations may bias the study. The small sample size may underrepresent rural educational institutions in India.

Alexa is used to study rural India’s primary education. Voice assistants in rural education are understudied. The study examines Alexa’s classroom use, student questions, and policy and teacher education implications. AI’s education transformation potential addresses UNESCO’s teacher shortage. This novel study examines how AI can improve rural education outcomes and access.