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This study, a conceptual paper, analyses the growth of curation in tourism and hospitality and the curator role in selecting and framing products and experiences. It considers the growth of expert, algorithmic, social and co-creative curation modes and their effects.

Narrative and integrative reviews of literature on curation and tourism and hospitality are used to develop a typology of curation and identify different curation modes.

Curational techniques are increasingly used to organise experience supply and distribution in mainstream fields, including media, retailing and fashion. In tourism and hospitality, curated tourism, curated hospitality brands and food offerings and place curation by destination marketing organisations are growing. Curation is undertaken by experts, algorithms and social groups and involves many of destination-related actors, producing a trend towards “hybrid curation” of places.

Research is needed on different forms of curation, their differential effects and the power roles of different curational modes.

Curation is a widespread intermediary function in tourism and hospitality, supporting better consumer choice. New curators influence experience supply and the distribution of consumer attention, shaping markets and co-creative activities. Increased curatorial activity should stimulate aesthetic and stylistic innovation and provide the basis for storytelling and narrative in tourism and hospitality.

This is the first study of curational strategies in tourism and hospitality, providing a definition and typology of curation, and linking micro and macro levels of analysis. It suggests the growth of choice-based logic alongside service-dominant logic in tourism and hospitality.

This paper aims to explore the accelerations and constraints libraries, archives, museums and heritage organisations (“collections-holding organisations”) face in their role as collection data providers for digital infrastructures. To date, digital infrastructures operate within the cultural heritage domain typically as data aggregation platforms, such as Europeana or Art UK.

Semi-structured interviews with 18 individuals in 8 UK collections-holding organisations and 2 international aggregators.

Discussions about digital infrastructure development often lay great emphasis on questions and problems that are technical and legal in nature. As important as technical and legal matters are, more latent, yet potent challenges exist too. Though less discussed in the literature, collections-holding organisations' capacity to participate in digital infrastructures is dependent on a complex interplay of funding allocation across the sector, divergent traditions of collection description and disciplinaries’ idiosyncrasies. Accordingly, we call for better social-cultural and trans-sectoral (collections-holding organisations, universities and technological providers) understandings of collection data infrastructure development.

The authors recommend developing more understanding of the social-cultural aspects (e.g. disciplinary conventions) and their impact on collection data dissemination. More studies on the impact and opportunities of unified collections for different audiences and collections-holding organisations themselves are required too.

Sustainable financial investment across the heritage sector is required to address the discrepancies between different organisation types in their capacity to deliver collection data. Smaller organisations play a vital role in diversifying the (digital) historical canon, but they often struggle to digitise collections and bring catalogues online in the first place. In addition, investment in existing infrastructures for collection data dissemination and unification is necessary, instead of creating new platforms, with various levels of uptake and longevity. Ongoing investments in collections curation and high-quality cataloguing are prerequisites for a sustainable heritage sector and collection data infrastructures. Investments in the sustainability of infrastructures are not a replacement for research and vice versa.

The authors recommend establishing networks where collections-holding organisations, technology providers and users can communicate their experiences and needs in an ongoing way and influence policy.

To date, the research focus on developing collection data infrastructures has tended to be on the drive to adopt specific technological solutions and copyright licensing practices. This paper offers a critical and holistic analysis of the dispersed experience of collections-holding organisations in their role as data providers for digital infrastructures. The paper contributes to the emerging understanding of the latent factors that make infrastructural endeavours in the heritage sector complex undertakings.

In the era of digital intelligence, individuals are increasingly interacting with digital information in their daily lives and work, and a growing phenomenon known as digital hoarding is becoming more prevalent. Prior research suggests that humanities researchers have unique and longstanding information interaction and management practices in the digital scholarship context. This study therefore aims to understand how digital hoarding manifests in humanities researchers’ behavior, identify the influencing factors associated with it, and explore how they perceive and respond to digital hoarding behavior.

Qualitative research methods enable us to acquire a rich insight and nuanced understanding of digital hoarding practices. In this study, semi-structured interviews were conducted with 20 humanities researchers who were pre-screened for a high propensity for digital hoarding. Thematic analyses were then used to analyze the interview data.

Three main characteristics of digital hoarding were identified. Further, the research paradigm, digital affordance, and personality traits and habits, collectively influencing the emergence and development of digital hoarding behaviors, were examined. The subtle influence of traditional Chinese culture was encountered. Interestingly, this study found that humanists perceive digital hoarding as a positive expectation (associated with inspiration, aesthetic pursuit, and uncertainty avoidance). Meanwhile, humanists' problematic perception of this behavior is more widely observed — they experience what we conceptualize as an “expectation-perception” gap. Three specific information behaviors related to avoidance were identified as aggravating factors for digital hoarding.

The findings deepen the understanding of digital hoarding behaviors and personal information management among humanities researchers within the LIS field, and implications for humanities researchers, digital scholarship service providers, and digital tool developers are discussed.

This paper aims to investigate place marketing and branding at the micro-place scale through the case study of St Christopher’s Place in London (UK). This study illustrates the distinctive differences of micro-place marketing, in comparison to city and country levels.

An exploratory case study was conducted through a sequential mixed methods approach involving direct observation, semi-structured interviews, questionnaires and social media analysis. Analysis of data was performed by using thematic analysis and triangulation of quantitative measures collected through the questionnaire and social media analysis.

Analysis of data illustrated noticeable differences of place management at the micro-place level compared to city or country scale of place marketing and branding. The function of emotional marketing leading to value co-creation is more effective at this level, establishing close and personal ties between occupiers and customers. Yet, measurement of micro-place marketing and branding value creation is difficult to achieve.

This study draws attention to the unique value and benefits of place branding at smaller spatial scales. Findings contribute to the place micro-brand concept by adding knowledge of micro-places through place management activities comparing them with city and country scales, and emotional marketing value co-creation practices, including challenges relating to measurement.

Knowledge graphs (KGs) are structured knowledge bases that represent real-world entities and are used in a variety of applications. Many of them are created and curated from a combination of automated and manual processes. Microdata embedded in Web pages for purposes of facilitating indexing and search engine optimization are a potential source to augment KGs under some assumptions of complementarity and quality that have not been thoroughly explored to date. In that direction, this paper aims to report results on a study that evaluates the potential of using microdata extracted from the Web to augment the large, open and manually curated Wikidata KG for the domain of touristic information. As large corpora of Web text is currently being leveraged via large language models (LLMs), these are used to compare the effectiveness of the microdata enhancement method.

The Schema.org taxonomy was used as the source to determine the annotation types to be collected. Here, the authors focused on tourism-related pages as a case study, selecting the relevant Schema.org concepts as point of departure. The large CommonCrawl resource was used to select those annotations from a large recent sample of the World Wide Web. The extracted annotations were processed and matched with Wikidata to estimate the degree to which microdata produced for SEO might become a valuable resource to complement KGs or vice versa. The Web pages themselves can also serve as a context to produce additional metadata elements using them as context in pipelines of an existing LLMs. That way, both the annotations and the contents itself can be used as sources.

The samples extracted revealed a concentration of metadata annotations in only a few of the relevant Schema.org attributes and also revealed the possible influence of authoring tools in a significant fraction of microdata produced. The analysis of the overlapping of attributes in the sample with those of Wikidata showed the potential of the technique, limited by the disbalance of the presence of attributes. The combination of those with the use of LLMs to produce additional annotations demonstrates the feasibility of the approach in the population of existing Wikidata locations. However, in both cases, the effectiveness appears to be lower in the cases of less content in the KG, which are arguably the most relevant when considering the scenario of an automated population approach.

The research reports novel empirical findings on the way touristic annotations with a SEO orientation are being produced in the wild and provides an assessment of their potential to complement KGs, or reuse information from those graphs. It also provides insights on the potential of using LLMs for the task.

The study aims to enhance our understanding of shared community oral history stewardship by exploring its practices and challenges from the perspectives of the stakeholders involved.

This study employed in-depth semi-structured interviews with community oral history stewards. Each interview focused on their experiences and perspectives regarding community-based oral history projects. The interview data were transcribed and analyzed using a grounded theory approach.

Community oral history stewards found oral history stewardship entails substantial effort, long-term commitment, and challenges. They concurred on the importance of partnerships between communities and archives in preserving community stories, with institutional archives providing valuable support, resources, and engagement beyond mere preservation platforms. Establishing trust between communities and archives emerged as a fundamental requirement for fruitful collaboration.

Community oral history has stood out as the prevailing form within the theory and practice of oral history, but its shared stewardship practices have not been thoroughly explored from the stakeholders' viewpoints.

The manuscript aims to introduce the managerial practice of content recycling – that is, a firm's recycling of its posts on social media platforms. I define and distinguish the phenomenon from related ones and offer propositions for future research to test empirically.

Review of the practitioner literature, in-situ observations with content managers, and a survey of content managers and Facebook users.

Managers recycle their posts to recoup the costs of content. Under some conditions, recycled content may yield more benefits than costs.

I define the phenomenon of content recycling and differentiate it from related terms. I offer propositions for future research.

I inform managers of the benefits and costs of recycling content and conditions under which benefits may override costs.

The research is novel and helps develop a common managerial practice.

This study aims to explore children’s cognitions about data flows online and their understandings of algorithms, often referred to as algorithmic literacy or algorithmic folk theories, in their everyday uses of social media and YouTube. The authors focused on children ages 8 to 11, as these are the ages when most youth acquire their own device and use social media and YouTube, despite platform age requirements.

Nine focus groups with 34 socioeconomically, racially and ethnically diverse children (8–11 years) were conducted in California. Groups discussed data flows online, digital privacy, algorithms and personalization across platforms.

Children had several misconceptions about privacy risks, privacy policies, what kinds of data are collected about them online and how algorithms work. Older children had more complex and partially accurate theories about how algorithms determine the content they see online, compared to younger children. All children were using YouTube and/or social media despite age gates and children used few strategies to manage the flow of their personal information online.

The paper includes implications for digital and algorithmic literacy efforts, improving the design of privacy consent practices and user controls, and regulation for protecting children’s privacy online.

Research has yet to explore what socioeconomically, racially and ethnically diverse children understand about datafication and algorithms online, especially in middle childhood.

This study addresses the need for a theory-guided, rich, descriptive account of research data repositories' (RDRs) understanding of data quality and the structures of their data quality assurance (DQA) activities. Its findings can help develop operational DQA models and best practice guides and identify opportunities for innovation in the DQA activities.

The study analyzed 122 data repositories' applications for the Core Trustworthy Data Repositories, interview transcripts of 32 curators and repository managers and data curation-related webpages of their repository websites. The combined dataset represented 146 unique RDRs. The study was guided by a theoretical framework comprising activity theory and an information quality evaluation framework.

The study provided a theory-based examination of the DQA practices of RDRs summarized as a conceptual model. The authors identified three DQA activities: evaluation, intervention and communication and their structures, including activity motivations, roles played and mediating tools and rules and standards. When defining data quality, study participants went beyond the traditional definition of data quality and referenced seven facets of ethical and effective information systems in addition to data quality. Furthermore, the participants and RDRs referenced 13 dimensions in their DQA models. The study revealed that DQA activities were prioritized by data value, level of quality, available expertise, cost and funding incentives.

The study's findings can inform the design and construction of digital research data curation infrastructure components on university campuses that aim to provide access not just to big data but trustworthy data. Communities of practice focused on repositories and archives could consider adding FAIR operationalizations, extensions and metrics focused on data quality. The availability of such metrics and associated measurements can help reusers determine whether they can trust and reuse a particular dataset. The findings of this study can help to develop such data quality assessment metrics and intervention strategies in a sound and systematic way.

To the best of the authors' knowledge, this paper is the first data quality theory guided examination of DQA practices in RDRs.

We examined how high school students demonstrated historical empathy through conducting local history place-based research to create an exhibit and companion book about the impact of the COVID-19 pandemic on their community. The majority of existing historical empathy scholarship focuses on classroom-based inquiry of historical events, people and time periods. We contend that broader examination of how historical empathy can be promoted beyond school-based instruction can contribute to the field by examining how student analyses of historical contexts and perspectives, and making affective connections to historical topics of study are needed when engaging in placed-based local history projects.

Qualitative case study methodology was implemented for this study. A Likert-scale survey with a questionnaire was distributed to 30 high school study participants. Thirteen students gave follow-up interviews. Students’ responses on the surveys, interviews and questionnaires were organized into three categories that aligned to the theoretical framework – identification of historical contexts of the sources that students collected, analysis of how contexts shaped the perspectives expressed in the collected sources and expression of reasoned connections between the students’ emotions and experiences during the pandemic. A rubric was used to examine how students’ writing samples and reflections reflected demonstration of historical empathy.

Students responded that their local history research about the pandemic contributed to their displays of historical empathy. Students displayed weaker evidence of historical empathy while examining archival resources to explain the historical contexts of the pandemic. Student demonstration of historical empathy was stronger when analyzing community-sourced documents for perspectives and making reasoned affective connections to what they learned about the historical significance of the pandemic. The place-based aspects of this project were strongly connected to the students’ engagement in historical empathy because the sources they analyzed were relevant to their experiences and identities as citizens in their community.

Documenting the diverse human experiences during the COVID-19 pandemic is crucial to preserving the history of this extraordinary time. Every person around the globe experienced the pandemic differently, hence riding out the same storm in different boats. At some point, the pandemic will appear in historical narratives of the social studies curriculum. Therefore, now is an opportune time to ascertain whether place-based local history research about the contexts, perspectives and experiences of community members and children themselves, during the pandemic can foster historical empathy.