Diese Datenbank enthält über 40.000 Dokumente zu Themen aus den Bereichen Formalerschließung – Inhaltserschließung – Information Retrieval.
© 2015 W. Gödert, TH Köln, Institut für Informationswissenschaft / Powered by litecat, BIS Oldenburg (Stand: 04. Juni 2021)
1Chawla, D.S.: Hundreds of 'predatory' journals indexed on leading scholarly database.[08.02.2021].
Abstract: Scopus has stopped adding content from most of the flagged titles, but the analysis highlights how poor-quality science is infiltrating literature.
Inhalt: doi: https://doi.org/10.1038/d41586-021-00239-0.
2Liu, X. ; Chen, X.: Authors' noninstitutional emails and their correlation with retraction.
In: Journal of the Association for Information Science and Technology. 72(2021) no.4, S.449-4473-477.
Abstract: We collected research articles from Retraction Watch database, Scopus, and a major retraction announcement by Springer, to identify emails used by authors. Authors' emails can be institutional emails and noninstitutional emails. Data suggest that retracted articles are more likely to use noninstitutional emails, but it is difficult to generalize. The study put some focus on authors from China.
Inhalt: Vgl.: https://asistdl.onlinelibrary.wiley.com/doi/10.1002/asi.24419.
3Rohman, A.: ¬The emergence, peak, and abeyance of an online information ground : the lifecycle of a Facebook group for verifying information during violence.
In: Journal of the Association for Information Science and Technology. 72(2021) no.3, S.302-314.
Abstract: Information grounds emerge as people share information with others in a common place. Many studies have investigated the emergence of information grounds in public places. This study pays attention to the emergence, peak, and abeyance of an online information ground. It investigates a Facebook group used by youth for sharing information when misinformation spread wildly during the 2011 violence in Ambon, Indonesia. The findings demonstrate change and continuity in an online information ground; it became an information hub when reaching a peak cycle, and an information repository when entering into abeyance. Despite this period of nonactivity, the friendships and collective memories resulting from information ground interactions last over time and can be used for reactivating the online information ground when new needs emerge. Illuminating the lifecycles of an online information ground, the findings have potential to explain the dynamic of users' interactions with others and with information in quotidian spaces.
Inhalt: Vgl.: https://asistdl.onlinelibrary.wiley.com/doi/10.1002/asi.24402.
Themenfeld: Informetrie ; Internet
4Thelwall, M. ; Sud, P.: Do new research issues attract more citations? : a comparison between 25 Scopus subject categories.
In: Journal of the Association for Information Science and Technology. 72(2021) no.3, S.269-279.
Abstract: Finding new ways to help researchers and administrators understand academic fields is an important task for information scientists. Given the importance of interdisciplinary research, it is essential to be aware of disciplinary differences in aspects of scholarship, such as the significance of recent changes in a field. This paper identifies potential changes in 25 subject categories through a term comparison of words in article titles, keywords and abstracts in 1 year compared to the previous 4 years. The scholarly influence of new research issues is indirectly assessed with a citation analysis of articles matching each trending term. While topic-related words dominate the top terms, style, national focus, and language changes are also evident. Thus, as reflected in Scopus, fields evolve along multiple dimensions. Moreover, while articles exploiting new issues are usually more cited in some fields, such as Organic Chemistry, they are usually less cited in others, including History. The possible causes of new issues being less cited include externally driven temporary factors, such as disease outbreaks, and internally driven temporary decisions, such as a deliberate emphasis on a single topic (e.g., through a journal special issue).
Inhalt: Vgl.: https://asistdl.onlinelibrary.wiley.com/doi/10.1002/asi.24401.
5Ma, L.: ¬The steering effects of citations and metrics.
In: Journal of documentation. 77(2021) no.2, S.420-431.
Abstract: Purpose This paper aims to understand the nature of citations and metrics in the larger system of knowledge production involving universities, funding agencies, publishers, and indexing and data analytic services. Design/methodology/approach First, the normative and social constructivist views of citations are reviewed to be understood as co-existing conditions. Second, metrics are examined through the processes of commensuration by tracing the meanings of metrics embedded in various kinds of documents and contexts. Third, the steering effects of citations and metrics on knowledge production are discussed. Finally, the conclusion addresses questions pertaining to the validity and legitimacy of citations as data and their implications for knowledge production and the conception of information. Findings The normative view of citations is understood as an ideal speech situation; the social constructivist view of citation is recognised in the system of knowledge production where citing motivations are influenced by epistemic, social and political factors. When organisational performances are prioritised and generate system imperatives, motives of competition become dominant in shaping citing behaviour, which can deviate from the norms and values in the academic lifeworld. As a result, citations and metrics become a non-linguistic steering medium rather than evidence of research quality and impact. Originality/value This paper contributes to the understanding of the nature of citations and metrics and their implications for the conception of information and knowledge production.
Inhalt: Vgl.: https://doi.org/10.1108/JD-06-2020-0093.
6Lorentzen, D.G.: Bridging polarised Twitter discussions : the interactions of the users in the middle.
In: Aslib journal of information management. 73(2021) no.1, S.129-143.
Abstract: Purpose The purpose of the paper is to analyse the interactions of bridging users in Twitter discussions about vaccination. Design/methodology/approach Conversational threads were collected through filtering the Twitter stream using keywords and the most active participants in the conversations. Following data collection and anonymisation of tweets and user profiles, a retweet network was created to find users bridging the main clusters. Four conversations were selected, ranging from 456 to 1,983 tweets long, and then analysed through content analysis. Findings Although different opinions met in the discussions, a consensus was rarely built. Many sub-threads involved insults and criticism, and participants seemed not interested in shifting their positions. However, examples of reasoned discussions were also found. Originality/value The study analyses conversations on Twitter, which is rarely studied. The focus on the interactions of bridging users adds to the uniqueness of the paper.
Inhalt: Vgl.: https://doi.org/10.1108/AJIM-05-2020-0154.
7Leydesdorff, L. ; Ivanova, I.: ¬The measurement of "interdisciplinarity" and "synergy" in scientific and extra-scientific collaborations.
In: Journal of the Association for Information Science and Technology. 72(2021) no.4, S.387-402.
Abstract: Problem solving often requires crossing boundaries, such as those between disciplines. When policy-makers call for "interdisciplinarity," however, they often mean "synergy." Synergy is generated when the whole offers more possibilities than the sum of its parts. An increase in the number of options above the sum of the options in subsets can be measured as redundancy; that is, the number of not-yet-realized options. The number of options available to an innovation system for realization can be as decisive for the system's survival as the historically already-realized innovations. Unlike "interdisciplinarity," "synergy" can also be generated in sectorial or geographical collaborations. The measurement of "synergy," however, requires a methodology different from the measurement of "interdisciplinarity." In this study, we discuss recent advances in the operationalization and measurement of "interdisciplinarity," and propose a methodology for measuring "synergy" based on information theory. The sharing of meanings attributed to information from different perspectives can increase redundancy. Increasing redundancy reduces the relative uncertainty, for example, in niches. The operationalization of the two concepts-"interdisciplinarity" and "synergy"-as different and partly overlapping indicators allows for distinguishing between the effects and the effectiveness of science-policy interventions in research priorities.
Inhalt: Vgl.: https://asistdl.onlinelibrary.wiley.com/doi/10.1002/asi.24416.
8Bu, Y. ; Li, M. ; Gu, W. ; Huang, W.-b.: Topic diversity : a discipline scheme-free diversity measurement for journals.
In: Journal of the Association for Information Science and Technology. 72(2021) no.5, S.523-539.
Abstract: Scientometrics has many citation-based measurements for characterizing diversity, but most of these measurements depend on human-designed categories and the granularity of discipline classifications sometimes does not allow in-depth analysis. As such, the current paper proposes a new measurement for quantifying journals' diversity by utilizing the abstracts of scientific publications in journals, namely topic diversity (TD). Specifically, we apply a topic detection method to extract fine-grained topics, rather than disciplines, in journals and adapt certain diversity indicators to calculate TD. Since TD only needs as inputs abstracts of publications rather than citing relationships between publications, this measurement has the potential to be widely used in scientometrics.
Inhalt: Vgl.: https://asistdl.onlinelibrary.wiley.com/toc/23301643/current.
9Costas, R. ; Rijcke, S. de ; Marres, N.: "Heterogeneous couplings" : operationalizing network perspectives to study science-society interactions through social media metrics.
In: Journal of the Association for Information Science and Technology. 72(2021) no.5, S.595-610.
Abstract: Social media metrics have a genuine networked nature, reflecting the networking characteristics of the social media platform from where they are derived. This networked nature has been relatively less explored in the literature on altmetrics, although new network-level approaches are starting to appear. A general conceptualization of the role of social media networks in science communication, and particularly of social media as a specific type of interface between science and society, is still missing. The aim of this paper is to provide a conceptual framework for appraising interactions between science and society in multiple directions, in what we call heterogeneous couplings. Heterogeneous couplings are conceptualized as the co-occurrence of science and non-science objects, actors, and interactions in online media environments. This conceptualization provides a common framework to study the interactions between science and non-science actors as captured via online and social media platforms. The conceptualization of heterogeneous couplings opens wider opportunities for the development of network applications and analyses of the interactions between societal and scholarly entities in social media environments, paving the way toward more advanced forms of altmetrics, social (media) studies of science, and the conceptualization and operationalization of more advanced science-society studies.
Inhalt: Vgl.: https://asistdl.onlinelibrary.wiley.com/doi/10.1002/asi.24427.
10Zhang, Y. ; Zhang, C.: Enhancing keyphrase extraction from microblogs using human reading time.
In: Journal of the Association for Information Science and Technology. 72(2021) no.5, S.611-626.
Abstract: The premise of manual keyphrase annotation is to read the corresponding content of an annotated object. Intuitively, when we read, more important words will occupy a longer reading time. Hence, by leveraging human reading time, we can find the salient words in the corresponding content. However, previous studies on keyphrase extraction ignore human reading features. In this article, we aim to leverage human reading time to extract keyphrases from microblog posts. There are two main tasks in this study. One is to determine how to measure the time spent by a human on reading a word. We use eye fixation durations (FDs) extracted from an open source eye-tracking corpus. Moreover, we propose strategies to make eye FD more effective on keyphrase extraction. The other task is to determine how to integrate human reading time into keyphrase extraction models. We propose two novel neural network models. The first is a model in which the human reading time is used as the ground truth of the attention mechanism. In the second model, we use human reading time as the external feature. Quantitative and qualitative experiments show that our proposed models yield better performance than the baseline models on two microblog datasets.
Inhalt: Vgl.: https://asistdl.onlinelibrary.wiley.com/doi/10.1002/asi.24430.
11Lemke, S. ; Mazarakis, A. ; Peters, I.: Conjoint analysis of researchers' hidden preferences for bibliometrics, altmetrics, and usage metrics.
In: Journal of the Association for Information Science and Technology. 72(2021) no.6, S.777-792.
Abstract: The amount of annually published scholarly articles is growing steadily, as is the number of indicators through which impact of publications is measured. Little is known about how the increasing variety of available metrics affects researchers' processes of selecting literature to read. We conducted ranking experiments embedded into an online survey with 247 participating researchers, most from social sciences. Participants completed series of tasks in which they were asked to rank fictitious publications regarding their expected relevance, based on their scores regarding six prototypical metrics. Through applying logistic regression, cluster analysis, and manual coding of survey answers, we obtained detailed data on how prominent metrics for research impact influence our participants in decisions about which scientific articles to read. Survey answers revealed a combination of qualitative and quantitative characteristics that researchers consult when selecting literature, while regression analysis showed that among quantitative metrics, citation counts tend to be of highest concern, followed by Journal Impact Factors. Our results suggest a comparatively favorable view of many researchers on bibliometrics and widespread skepticism toward altmetrics. The findings underline the importance of equipping researchers with solid knowledge about specific metrics' limitations, as they seem to play significant roles in researchers' everyday relevance assessments.
Inhalt: Vgl.: https://asistdl.onlinelibrary.wiley.com/doi/10.1002/asi.24445.
12Hellsten, I. ; Leydesdorff, L.: Automated analysis of actor-topic networks on twitter : new approaches to the analysis of socio-semantic networks.
In: Journal of the Association for Information Science and Technology. 71(2020) no.1, S.3-15.
Abstract: Social media data provide increasing opportunities for the automated analysis of large sets of textual documents. So far, automated tools have been developed either to account for the social networks among participants in the debates, or to analyze the content of these debates. Less attention has been paid to mapping co-occurrences of actors (participants) and topics (content) in online debates that can be considered as socio-semantic networks. We propose a new, automated approach that uses the whole matrix of co-addressed topics and actors for understanding and visualizing online debates. We show the advantages of the new approach with the analysis of two data sets: first, a large set of English-language Twitter messages at the Rio?+?20 meeting, in June 2012 (72,077 tweets), and second, a smaller data set of Dutch-language Twitter messages on bird flu related to poultry farming in 2015-2017 (2,139 tweets). We discuss the theoretical, methodological, and substantive implications of our approach, also for the analysis of other social media data.
Inhalt: Vgl.: https://asistdl.onlinelibrary.wiley.com/doi/10.1002/asi.24207.
13Yan, E. ; Chen, Z. ; Li, K.: Authors' status and the perceived quality of their work : measuring citation sentiment change in nobel articles.
In: Journal of the Association for Information Science and Technology. 71(2020) no.3, S.314-324.
Abstract: Prior research in status ordering has used numeric indicators to examine the impact of a status change on the perception of a scientist's work. This study measures the perception change directly as reflected in citation sentiment, with the attainment of a Nobel Prize in Chemistry or a Nobel Prize in Physiology or Medicine considered the status change. The article identifies 12,393 citances to 25 Nobel articles in PubMed Central and includes a control article set of 75 articles with 30,851 citances. The results show a moderate increase in citation sentiment toward Nobel articles postaward. Dynamically, for Nobel articles there is a steady sentiment increase, and a Nobel Prize seems to co-occur with this trend. This trend, however, is not evident in the control article set.
Inhalt: Vgl.: https://asistdl.onlinelibrary.wiley.com/doi/10.1002/asi.24237.
14Haley, M.R.: ¬A simple paradigm for augmenting the Euclidean index to reflect journal impact and visibility.
In: Journal of the Association for Information Science and Technology. 71(2020) no.3, S.370-373.
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.
Inhalt: Vgl.: https://asistdl.onlinelibrary.wiley.com/doi/10.1002/asi.24224.
15Williams, B.: Dimensions & VOSViewer bibliometrics in the reference interview.
In: Code4Lib journal. Issue 47(2020), [http://journal.code4lib.org].
Abstract: The VOSviewer software provides easy access to bibliometric mapping using data from Dimensions, Scopus and Web of Science. The properly formatted and structured citation data, and the ease in which it can be exported open up new avenues for use during citation searches and eference interviews. This paper details specific techniques for using advanced searches in Dimensions, exporting the citation data, and drawing insights from the maps produced in VOS Viewer. These search techniques and data export practices are fast and accurate enough to build into reference interviews for graduate students, faculty, and post-PhD researchers. The search results derived from them are accurate and allow a more comprehensive view of citation networks embedded in ordinary complex boolean searches.
Inhalt: Vgl.: https://journal.code4lib.org/articles/14964.
16Positionspapier der DMV zur Verwendung bibliometrischer Daten.Online: 21.02.2020.
In: Mitteilungen der Deutschen Mathematiker-Vereinigung. 2019, H.3-4, S.112-117.
Abstract: Bibliometrische Daten werden heute zunehmend in der Evaluation von Forschungsergebnissen benutzt. Diese Anwendungen reichen von der (indirekten) Verwendung bei der Peer-Evaluation von Drittmittelanträgen über die Beurteilung von Bewerbungen in Berufungskommissionen oder Anträgen für Forschungszulagen bis hin zur systematischen Erhebung von forschungsorientierten Kennzahlen von Institutionen. Mit diesem Dokument will die DMV ihren Mitgliedern eine Diskussionsgrundlage zur Verwendung bibliometrischer Daten im Zusammenhang mit der Evaluation von Personen und Institutionen im Fachgebiet Mathematik zur Verfügung stellen, insbesondere auch im Vergleich zu anderen Fächern. Am Ende des Texts befindet sich ein Glossar, in dem die wichtigsten Begriffe kurz erläutert werden.
Inhalt: Vgl.: https://doi.org/10.1515/dmvm-2019-0040.
Objekt: h-index ; Altmetrics
17Roszkowski, M.: ¬The sociological and ontological dimensions of the knowledge organization domain on Google Scholar citations.
In: Knowledge organization. 47(2020) no.2, S.160-172.
Abstract: This study aims to identify the profiles of researchers in the knowledge organization domain on Google Scholar Citations (GSC) and investigate its sociological and ontological dimensions. The sociological dimension is related to GSC users who declared research interests that fall within the scope of the knowledge organization domain. The ontological dimension is based on the study of these concepts. Domain analysis was used as a methodological framework for this study. A search was conducted on GSC using keywords in order to create a list of scholars who declared the knowledge organization domain as one of their research interests in their Google Scholar Profiles (GSPs). Next, the search for GSPs of authors who had published their papers in the Knowledge Organization journal from 2000 to 2019 was conducted. The results showed that there were 379 publicly available GSPs. Analysis of the affiliated institutions showed that the majority of them were based respectively in the USA, Brazil, and then in India. The ontological dimension of the knowledge organization domain on GSC was examined by studying keywords attached to GSPs. The most frequently used keywords were identified and using network analysis five clusters that represented the main areas of interest were extracted.
Objekt: Google Scholar
18Jiang, X. ; Zhu, X. ; Chen, J.: Main path analysis on cyclic citation networks.
In: Journal of the Association for Information Science and Technology. 71(2020) no.5, S.578-595.
Abstract: Main path analysis is a famous network-based method for understanding the evolution of a scientific domain. Most existing methods have two steps, weighting citation arcs based on search path counting and exploring main paths in a greedy fashion, with the assumption that citation networks are acyclic. The only available proposal that avoids manual cycle removal is to preprint transform a cyclic network to an acyclic counterpart. Through a detailed discussion about the issues concerning this approach, especially deriving the "de-preprinted" main paths for the original network, this article proposes an alternative solution with two-fold contributions. Based on the argument that a publication cannot influence itself through a citation cycle, the SimSPC algorithm is proposed to weight citation arcs by counting simple search paths. A set of algorithms are further proposed for main path exploration and extraction directly from cyclic networks based on a novel data structure main path tree. The experiments on two cyclic citation networks demonstrate the usefulness of the alternative solution. In the meanwhile, experiments show that publications in strongly connected components may sit on the turning points of main path networks, which signifies the necessity of a systematic way of dealing with citation cycles.
19Tay, W. ; Zhang, X. ; Karimi , S.: Beyond mean rating : probabilistic aggregation of star ratings based on helpfulness.
In: Journal of the Association for Information Science and Technology. 71(2020) no.7, S.784-799.
Abstract: The star-rating mechanism of customer reviews is used universally by the online population to compare and select merchants, movies, products, and services. The consensus opinion from aggregation of star ratings is used as a proxy for item quality. Online reviews are noisy and effective aggregation of star ratings to accurately reflect the "true quality" of products and services is challenging. The mean-rating aggregation model is widely used and other aggregation models are also proposed. These existing aggregation models rely on a large number of reviews to tolerate noise. However, many products rarely have reviews. We propose probabilistic aggregation models for review ratings based on the Dirichlet distribution to combat data sparsity in reviews. We further propose to exploit the "helpfulness" social information and time to filter noisy reviews and effectively aggregate ratings to compute the consensus opinion. Our experiments on an Amazon data set show that our probabilistic aggregation models based on "helpfulness" achieve better performance than the statistical and heuristic baseline approaches.
20Thelwall, M.: Female citation impact superiority 1996-2018 in six out of seven English-speaking nations.
In: Journal of the Association for Information Science and Technology. 71(2020) no.8, S.979-990.
Abstract: Efforts to combat continuing gender inequalities in academia need to be informed by evidence about where differences occur. Citations are relevant as potential evidence in appointment and promotion decisions, but it is unclear whether there have been historical gender differences in average citation impact that might explain the current shortfall of senior female academics. This study investigates the evolution of gender differences in citation impact 1996-2018 for six million articles from seven large English-speaking nations: Australia, Canada, Ireland, Jamaica, New Zealand, UK, and the USA. The results show that a small female citation advantage has been the norm over time for all these countries except the USA, where there has been no practical difference. The female citation advantage is largest, and statistically significant in most years, for Australia and the UK. This suggests that any academic bias against citing female-authored research cannot explain current employment inequalities. Nevertheless, comparisons using recent citation data, or avoiding it altogether, during appointments or promotion may disadvantage females in some countries by underestimating the likely greater impact of their work, especially in the long term.