Search (93 results, page 1 of 5)

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Abstract

Collaboration is encouraged because it is believed to improve academic research, supported by indirect evidence in the form of more coauthored articles being more cited. Nevertheless, this might not reflect quality but increased self-citations or the "audience effect": citations from increased awareness through multiple author networks. We address this with the first science wide investigation into whether author numbers associate with journal article quality, using expert peer quality judgments for 122,331 articles from the 2014-20 UK national assessment. Spearman correlations between author numbers and quality scores show moderately strong positive associations (0.2-0.4) in the health, life, and physical sciences, but weak or no positive associations in engineering and social sciences, with weak negative/positive or no associations in various arts and humanities, and a possible negative association for decision sciences. This gives the first systematic evidence that greater numbers of authors associates with higher quality journal articles in the majority of academia outside the arts and humanities, at least for the UK. Positive associations between team size and citation counts in areas with little association between team size and quality also show that audience effects or other nonquality factors account for the higher citation rates of coauthored articles in some fields.

Date

22. 6.2023 18:11:50

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Abstract

Interdisciplinarity implies the previous existence of disciplinary fields and not their dissolution. As a general objective, we propose to establish an initial approach to the emphasis given to interdisciplinarity in the teaching of KO, through the teaching staff responsible for postgraduate courses focused on -or related to the KO, in Ibero-American universities. For conducting the research, the framework and distribution of a survey addressed to teachers is proposed, based on four lines of action: 1. The way teachers manage the concept of interdisciplinarity. 2. The place that teachers give to interdisciplinarity in KO. 3. Assessment of interdisciplinary content that teachers incorporate into their postgraduate courses. 4. Set of teaching strategies and resources used by teachers to include interdisciplinarity in the teaching of KO. The study analyzed 22 responses. Preliminary results show that KO teachers recognize the influence of other disciplines in concepts, theories, methods, and applications, but no consensus has been reached regarding which disciplines and authors are the ones who build interdisciplinary bridges. Among other conclusions, the study strongly suggests that environmental and social tensions are reflected in subject representation, especially in the construction of friendly knowl­edge organization systems with interdisciplinary visions, and in the expressions through which information is sought.

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Abstract

To understand and improve their current abilities and maturity, organizations use diagnostic instruments such as maturity models and other assessment frameworks. Increasing numbers of these are being developed in digital curation. Their central role in strategic decision making raises the need to evaluate their fitness for this purpose and develop guidelines for their design and evaluation. A comprehensive review of assessment frameworks, however, found little evidence that existing assessment frameworks have been evaluated systematically, and no methods for their evaluation. This article proposes a new methodology for evaluating the design and use of assessment frameworks. It builds on prior research on maturity models and combines analytic and empirical evaluation methods to explain how the design of assessment frameworks influences their application in practice, and how the design process can effectively take this into account. We present the evaluation methodology and its application to two frameworks. The evaluation results lead to guidelines for the design process of assessment frameworks in digital curation. The methodology provides insights to the designers of the evaluated frameworks that they can consider in future revisions; methodical guidance for researchers in the field; and practical insights and words of caution to organizations keen on diagnosing their abilities.

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Abstract

Most research efforts related to automatic readability assessment focus on the design of strategies that apply to a specific language. These state-of-the-art strategies are highly dependent on linguistic features that best suit the language for which they were intended, constraining their adaptability and making it difficult to determine whether they would remain effective if they were applied to estimate the level of difficulty of texts in other languages. In this article, we present the results of a study designed to determine the feasibility of a cross-lingual readability assessment strategy. For doing so, we first analyzed the most common features used for readability assessment and determined their influence on the readability prediction process of 6 different languages: English, Spanish, Basque, Italian, French, and Catalan. In addition, we developed a cross-lingual readability assessment strategy that serves as a means to empirically explore the potential advantages of employing a single strategy (and set of features) for readability assessment in different languages, including interlanguage prediction agreement and prediction accuracy improvement for low-resource languages.Friend request acceptance and information disclosure constitute 2 important privacy decisions for users to control the flow of their personal information in social network sites (SNSs). These decisions are greatly influenced by contextual characteristics of the request. However, the contextual influence may not be uniform among users with different levels of privacy concerns. In this study, we hypothesize that users with higher privacy concerns may consider contextual factors differently from those with lower privacy concerns. By conducting a scenario-based survey study and structural equation modeling, we verify the interaction effects between privacy concerns and contextual factors. We additionally find that users' perceived risk towards the requester mediates the effect of context and privacy concerns. These results extend our understanding about the cognitive process behind privacy decision making in SNSs. The interaction effects suggest strategies for SNS providers to predict user's friend request acceptance and to customize context-aware privacy decision support based on users' different privacy attitudes.

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Source

https%3A%2F%2Farxiv.org%2Fabs%2F2212.06721&usg=AOvVaw3i_9pZm9y_dQWoHi6uv0EN

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Abstract

Fake news is considered one of the main threats of our society. The aim of fake news is usually to confuse readers and trigger intense emotions to them in an attempt to be spread through social networks. Even though recent studies have explored the effectiveness of different linguistic patterns for fake news detection, the role of emotional signals has not yet been explored. In this paper, we focus on extracting emotional signals from claims and evaluating their effectiveness on credibility assessment. First, we explore different methodologies for extracting the emotional signals that can be triggered to the users when they read a claim. Then, we present emoCred, a model that is based on a long-short term memory model that incorporates emotional signals extracted from the text of the claims to differentiate between credible and non-credible ones. In addition, we perform an analysis to understand which emotional signals and which terms are the most useful for the different credibility classes. We conduct extensive experiments and a thorough analysis on real-world datasets. Our results indicate the importance of incorporating emotional signals in the credibility assessment problem.

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Abstract

Credibility assessment is a crucial component in the process of people's health information seeking, especially in the web context. Finding "credible" health information from a plethora of information on the web may be more challenging for older adults, who have relatively less experience with the Internet. This article reports on the findings of an exploratory study of older adults' credibility assessments of online health information. The data collected through semistructured interviews with 21 older adult Internet users in the United States were analyzed based on the extended typology of web credibility (Choi & Stvilia, 2015, Journal of the Association for Information Science and Technology, 66, 2399-2414). The findings of the study revealed that older adults paid closer attention to operator-related credibility cues and heuristics when judging the credibility of health information on the web, followed by content- and design-related ones. Also, the findings suggest that participants who were younger and used the Internet more frequently employed a wider variety of cues and heuristics to evaluate the credibility of online health information. Based on these findings, both theoretical and practical implications of the research and future research directions are discussed.

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Abstract

This paper investigates different uses of the Journal Impact Factor (JIF) in national journal rankings and discusses the merits of supplementing metrics with expert assessment. Our focus is national journal rankings used as evidence to support decisions about the distribution of institutional funding or career advancement. The seven countries under comparison are China, Denmark, Finland, Italy, Norway, Poland, and Turkey-and the region of Flanders in Belgium. With the exception of Italy, top-tier journals used in national rankings include those classified at the highest level, or according to tier, or points implemented. A total of 3,565 (75.8%) out of 4,701 unique top-tier journals were identified as having a JIF, with 55.7% belonging to the first Journal Impact Factor quartile. Journal rankings in China, Flanders, Poland, and Turkey classify journals with a JIF as being top-tier, but only when they are in the first quartile of the Average Journal Impact Factor Percentile. Journal rankings that result from expert assessment in Denmark, Finland, and Norway regularly classify journals as top-tier outside the first quartile, particularly in the social sciences and humanities. We conclude that experts, when tasked with metric-informed journal rankings, take into account quality dimensions that are not covered by JIFs.

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Abstract

Altmetrics are web-based quantitative impact or attention indicators for academic articles that have been proposed to supplement citation counts. This article reports the first assessment of the extent to which mature altmetrics from Altmetric.com and Mendeley associate with individual article quality scores. It exploits expert norm-referenced peer review scores from the UK Research Excellence Framework 2021 for 67,030+ journal articles in all fields 2014-2017/2018, split into 34 broadly field-based Units of Assessment (UoAs). Altmetrics correlated more strongly with research quality than previously found, although less strongly than raw and field normalized Scopus citation counts. Surprisingly, field normalizing citation counts can reduce their strength as a quality indicator for articles in a single field. For most UoAs, Mendeley reader counts are the best altmetric (e.g., three Spearman correlations with quality scores above 0.5), tweet counts are also a moderate strength indicator in eight UoAs (Spearman correlations with quality scores above 0.3), ahead of news (eight correlations above 0.3, but generally weaker), blogs (five correlations above 0.3), and Facebook (three correlations above 0.3) citations, at least in the United Kingdom. In general, altmetrics are the strongest indicators of research quality in the health and physical sciences and weakest in the arts and humanities.

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Abstract

In this paper, we provide an introduction to the concept of digital object reuse and its various connotations in the context of current digital libraries, archives, and repositories. We will then propose a faceted categorization of the various types, contexts, and cases for digital object reuse in order to facilitate understanding and communication and to provide a conceptual framework for the assessment of digital object reuse by various cultural heritage and cultural memory organizations.

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Abstract

This paper brings light to the existing practice of cataloging in the college libraries of Assam in terms of utilizing the MARC 21 standard and its structure, i.e., the tags, subfield codes, and indicators. Catalog records from six college libraries are collected and a survey is conducted to understand the local users' information requirements for the catalog. Places, where libraries have scope to improve and which divisions of tags could be more helpful for them in information retrieval, are identified and suggested. This study fulfilled the need for local-level assessment of the catalogs.

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Abstract

This article offers an adjustment to the recently developed Euclidean Index (Perry and Reny, 2016). The proposed companion metric reflects the impact of the journal in which an article appears; the rationale for incorporating this information is to reflect higher costs of production and higher review standards, and to mitigate the heavily truncated citation counts that often arise in promotion, renewal, and tenure deliberations. Additionally, focusing jointly on citations and journal impact diversifies the assessment process, and can thereby help avoid misjudging scholars with modest citation counts in high-level journals. A combination of both metrics is also proposed, which nests each as a special case. The approach is demonstrated using a generic journal ranking metric, but can be adapted to most any stated or revealed preference measure of journal impact.

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Abstract

The purpose of the study was to understand if and how 2 proposed facets of self-identity (work-self and career-self) and journals' perceived quality (impact, visibility, and content quality) influence and explain the intention to publish in open access (OA) or nonopen access (non-OA) journals. This study integrates attitude and identity theory within a cross-sectional survey design. The sample consists of about 1,600 researchers in Norway, and the data were collected via e-mail invitation using a digital surveying tool and analyzed using structural equation modeling techniques. We determined that perceived impact-quality increases the intention to publish non-OA, while decreasing the intention to publish OA. Content quality is only associated with non-OA journals. Perceived visibility increases the intention to publish OA, while the opposite effect is found for non-OA. Career-self salience has the strongest effect on impact-quality, while content quality is most important when work-self is salient. This research contributes to a deeper understanding about how perceived quality influences intention to publish in OA and non-OA journals, and how self-identity salience affects different facets of perceived quality in valence and strength. Findings have implications for policy development, implementation, and assessment and may contribute to improving OA adoption.

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Abstract

Purpose Information literacy and health literacy skills are positively correlated with indicators of quality of life. Assessing these literacies, however, can be daunting - particularly with people that may not respond well to prose-based tools. The purpose of this paper is to use information horizons methodology as a metric that may be reflective of literacies. Design/methodology/approach Following a power analysis to insure statistical significance, a sample of 161 participants was recruited from a university population and given formal, vetted measures of information literacy and health literacy and then was asked to create an information horizons map within a health-related context. The information horizons maps were evaluated in two different ways. First, the number of sources was counted. Then, the quality of sources was factored in. Multiple regression analysis was applied to both metrics as independent variables with the other assessments as dependent variables. Anker, Reinhart, and Feeley's model provided the conceptual framework for the study. Findings Information horizons mapping was not found to have a significant relationship with measures of information literacy. However, there were strong, statistically significant relationships with the measures of health literacy employed in this study. Originality/value Employing information horizons methodology as a means of providing a metric to assess literacies may be helpful in providing a more complete picture of a person's abilities. While the current assessment tools have value, this method has the potential to provide important information about the health literacy of people who are not traditionally well represented by prose-based measures.

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Abstract

While there is a huge literature devoted to information literacy (IL), much of which is devoted to course or content design and some sort of assessment. What is presented in this paper is the proposition that the design of IL would benefit greatly by the infusion of the development of consciousness and conscious states. The understanding of consciousness and its place in the absorption of information, and ultimately, knowledge growth is presented. Design/methodology/approach Reviews of information literacy (brief) and consciousness (more extensive) are applied to the proposition that consciousness is an essential element of successful information literacy instruction. The reviews are of a critical nature. Findings Consciousness and its complexity are explicated to a considerable extent. While there are somewhat varied conceptions of consciousness, a relatively unified definition is suggested. The complexities of consciousness and its development render students more able to explicate the agreements and disagreements in the information landscape. In short, a developed consciousness among students makes for more critical approaches to difficult informational events. Then, the connections between IL and consciousness, which includes the awareness of informational states, conclude the paper. Research limitations/implications This paper offers a new mode for an inquiry into the content and structure of information literacy instruction. Originality/value The paper adds a heretofore unattended condition for success in information literacy for instructors and students.

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Abstract

Performance assessment is ubiquitous and crucial in people analytics. Scientific impact, particularly, plays a significant role in the academia. This paper attempts to understand researchers' career trajectories by considering the research community as a social network, where individuals build ties with each other via coauthorship. The resulting linkage facilitates information flow and affects researchers' future impact. Consequently, we systematically investigate the career trajectories of researchers with respect to research impact using the social capital theory as our theoretical foundation. Specifically, for early-stage and mid-career academics, we find that connections with prominent researchers associate with greater impact. Brokerage positions, in addition, are beneficial to a researcher's research impact in the long run. For senior researchers, however, the only social network feature that significantly affects their future impact is the reputation of their recently built ties. Finally, we build predictive models on future research impact which can be leveraged by both organizations and individuals. This paper provides empirical evidence for how social networks provide signals on researchers' career dynamics guided by social capital theory. Our findings have implications for individual researchers to strategically plan and promote their careers and for research institutions to better evaluate current as well as prospective employees.

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Abstract

The present study contributes to the development of integrated models for information behavior and practices at the domain-specific level. To this end, the model for everyday information practices proposed by Savolainen in 2008 is enhanced by integrating the element of information creating, based on Thomson's recent 2018 study. The integration resulted in the expanded model for everyday information practices. Using conceptual analysis, the above model was examined in light of conventional (positivist and post-positivist) and interpretive (social constructivist) criteria for theory assessment. The findings suggest that the integrated model meets best the interpretive criteria such as meaningfulness and understandability, mutuality of concepts and descriptive logic, empirical verifiability, and usefulness. In contrast, theoretical potential of the model is fairly limited when weighed against the conventional criteria, such as generalization and prediction. Overall, the findings suggest that, in its current form, the expanded model cannot be regarded as a "genuine theory" of everyday information practices. However, the model does incorporate many of the qualities characteristic of social scientific theories, and thus exhibits considerable theoretical potential. This is even more so if the interpretive, naturalistic basis of the data in which the expanded model is based is considered.

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Abstract

An exploratory study investigated the factors affecting digital literacy training offered by local community organizations, such as public libraries. Theory based on the educational assessment and information literacy instruction literatures, community informatics, and situated learning theory served as a lens of investigation. Case studies of two public libraries and five other local community organizations were carried out. Data collection comprised: one-on-one interviews with administrators, instructors, and community members who received training; analysis of training documents; observations of training sessions; and a survey administered to clients who participated in these training sessions. Data analysis yielded the generation of a holistic conceptual framework. The framework identifies salient factors of the learning environment and program components that affect learning outcomes arising from digital literacy training led by local community organizations. Theoretical propositions are made. Member checks confirmed the validity of the study's findings. Results are compared to prior theory. Recommendations for practice highlight the need to organize and train staff, acquire sustainable funding, reach marginalized populations, offer convenient training times to end-users, better market the training, share and adopt best practices, and better collect and analyze program performance measurement data. Implications for future research also are identified.

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Abstract

The American state of Alabama has recently developed a national notoriety as a toxic place for lesbian, gay, bisexual, transgender, and questioning/queer (LGBTQ+) people owing to several laws that have supported human rights violations and denied their civil liberties. This case study assesses how Alabama's public libraries are providing culturally relevant web access and coverage to LGBTQ+ information to meet their needs/concerns in a region that is oppressive to sexual and gender minorities. In the process, it illustrates public libraries' emerging role as simultaneously impotent to the majority's infringements, while finding creative ways to serve as counter narrative spaces of resistance representing "voices" of, and from, the margins. This exploratory assessment is based on documenting web-based information for LGBTQ+ people in Alabama's 230 public libraries and identifies seven intersectional examples of information offerings, categorized into three groupings: (a) information sources (collections, resources); (b) information policy/planning (assigned role, strategic representation); (c) connections (internal, external, news/events). It provides a taxonomic framework with representative examples that challenge the regional stereotype of solely deficit marginalization. The discussion provides new opportunities to build collaborations of sharing within Alabama's public library networks to better address LGBTQ+ concerns and inequities in their local and regional communities.

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Abstract

Citation counts are widely used as indicators of research quality to support or replace human peer review and for lists of top cited papers, researchers, and institutions. Nevertheless, the relationship between citations and research quality is poorly evidenced. We report the first large-scale science-wide academic evaluation of the relationship between research quality and citations (field normalized citation counts), correlating them for 87,739 journal articles in 34 field-based UK Units of Assessment (UoA). The two correlate positively in all academic fields, from very weak (0.1) to strong (0.5), reflecting broadly linear relationships in all fields. We give the first evidence that the correlations are positive even across the arts and humanities. The patterns are similar for the field classification schemes of Scopus and Dimensions.ai, although varying for some individual subjects and therefore more uncertain for these. We also show for the first time that no field has a citation threshold beyond which all articles are excellent quality, so lists of top cited articles are not pure collections of excellence, and neither is any top citation percentile indicator. Thus, while appropriately field normalized citations associate positively with research quality in all fields, they never perfectly reflect it, even at high values.