Topic Prominence Research Articles

The neutral servant: the Czech EU Council Presidency and its framing by the political parties

ABSTRACT The rotating Presidency of the EU Council has been considered as a neutral and technocratic service that circulates among EU Member States. However, this traditional view is challenged in an era where the EU has become politicized and contested. This article explores whether this neutral technocratic approach still holds by examining the preparatory stage of the Czech EU Council Presidency in 2022. Despite the highly politicized nature of the general Czech EU debate, the Presidency was framed by domestic political parties – including the populist ones – as a neutral task or challenge. The depoliticization of the Presidency can be attributed to its low attractiveness to populist parties, the limited number of participants in the debate, and the prominence of more salient EU-related topics, such as the war in Ukraine.

Textual analysis of corporate sustainability reporting and corporate ESG scores

This paper examines the evolution of environmental, social and governance (ESG) reporting by analysing a ten-year corpus of annual reports from FTSE 350 companies. Using BERTopic, an advanced topic modelling technique, we identify and subsequently cluster the most important ESG topics, providing significant insights into the reporting landscape. Our findings show how regulatory changes, such as the Non-Financial Reporting Directive, and major events like Covid-19, influence ESG topic prominence. The disclosure of ESG information is primarily determined by regulatory requirements. This is particularly evident in the fact that companies only disclose the diversity on the board, which is mandatory, but not the diversity and inclusion at other levels of the reporting organisation. Furthermore, our study examines the correlation between ESG scores and topic proportions, showing that extensive disclosure on topics like climate risk and stakeholder engagement is positively associated with higher ESG scores, whereas topics like executive remuneration show negative correlations. Our research contributes to the literature by offering a novel methodological approach to ESG analysis and provides insights into the gaps between reporting standards and practices, relevant for standard-setting bodies and regulators.

Mutual Influences in Economic Agendas: Assessing Dynamics and Conditionality in Longitudinal Relationships Between Media, Politics, and Public

This study examined agenda-setting relationships across the media, politics, and the public, while accounting for contextual boundaries from 1978 to 2018 in the United States. Our findings indicate that (1) for the overall model, the media and the public influence the prominence of economic concerns on the political agenda, but the political agenda has no agenda-setting power; (2) under a Republican president, the prominence of economic topics in the media and political agendas influence each other, the media and the public agendas influence each other, and the public influences the political agenda; and (3) under a Democrat president, attention paid toward economic topics in the media and political agendas influence each other, as do the political and public agendas. Of particular note for agenda-setting theorists is our finding that the media significantly sets the agenda for the public under a Republican presidential condition and not under other conditions. Additionally, these relationships differ longitudinally; for example, the media responds to economic changes quicker and for more prolonged periods under a Republican than a Democrat. This study advances the agenda-setting theory by presenting novel findings about agenda-setters in action and by demonstrating the unique complexities of modeling longitudinal nonlinear relationships.

Demystifying neurotourism: An interdisciplinary approach and research agenda

The academic discourse surrounding tourism's interdisciplinary approach has long piqued the interest of the scholarly community. More recently, attention has pivoted towards the intersection of neuroscience and neuromarketing within the realm of tourism, giving rise to the concept of “neurotourism”. This emergence requires a comprehensive elucidation of the relevance of neuromarketing and neuroscience to the field of tourism, thereby addressing the imperative to bridge existing knowledge gaps. In light of this, the present paper endeavours to fulfil this objective by synthesizing global research in this domain. The study adopts an interdisciplinary approach, employing a hybrid systematic review methodology that encompasses a literature review encompassing nine key indicators and a bibliometric analysis through co-word analysis of author keywords. In total, our investigation unearthed 45 papers from Scopus, each exploring the application of neuroscience and neuromarketing theories and methods within the context of tourism. Among these, three papers delve into the concept of neurotourism. In this paper, we underscore the deep connection between neuroscience, neuroscientific methodologies, and neuromarketing within the realm of tourism research. The outcomes of this research significantly enhance our comprehension of the current state of neurotourism research, revealing both existing voids and emerging areas of interest. Furthermore, this study introduces a pioneering methodological approach, fusing Scival topic prominence and hybrid systematic review techniques into bibliometric analysis. Ultimately, our findings illuminate a notable research lacuna, presenting a fertile terrain for prospective investigations. Additionally, we deliberate on current trends and propose directions for future research within the neurotourism landscape.

SciVal Insights on HR Management: Analyzing Key Trends and High-Performance Work Systems and Personnel, and Human Resource (HR) Practice

From 2013 to 2022, this document provides an examination of the academic progression in High-Performance Work Systems (HPWS), Personnel, and Human Resource (HR) Practice. The system exploited SciVal to determine the cluster, then analyzed to get understanding into the top academic outputs related to the authors, publications, nations, as well the universities. The research, has a scholarly output of 3,385 papers, demonstrates the large themes received within the academic profession. This domain’s publications have a field-weighted citation impact of 1.25, suggesting a 25% higher citation rate than the world average, show their significant power in the academic area. The current study’s key findings show a high level of international collaboration, contribution to the worldwide applicability of HR practices. The findings, as evidenced by 52,209 citations and over 203,594 views, illustrate the body of work’s importance and extensive group discussion. With a topic prominence percentile of 99.357, this field is at the front end of academic study, indicating its critical participation in ongoing HR discussions and progression. Added more the study show a shift in focus within human resource management, with classic notions complemented by emerging themes such as ‘Employee Performance’ and ‘Employee Well-being, which have witnessed an exponential function increase in scholarly production. This indicates a shift towards employee-centric approaches to recognize the direct influence of employee well-being towards performance.

Cancer patient and caregiver communication about economic concerns and the effect on patient and caregiver partners' perceptions of family functioning.

Financial strain and stressful life events can constrain open communication within families. A cancer diagnosis can bring heightened emotional stress and financial strain for most cancer patients and their families. We evaluated how level of comfort and willingness to discuss important but sensitive economic topics affected longitudinal assessments of family relationships, exploring both within-person and between partner effects over 2years after a cancer diagnosis. A case series of hematological cancer patient-caregiver dyads (n = 171) were recruited from oncology clinics in Virginia and Pennsylvania and followed for 2years. Multi-level models were developed to examine the associations between comfort discussing economic aspects of cancer care and family functioning. Broadly, caregivers and patients who were comfortable discussing economic topics reported higher family cohesion and lower family conflict. Dyads' assessments of family functioning were influenced both by their own and their partners level of communication comfort. Overtime, caregiver but not patients perceived a significant decrease in family cohesion. Efforts to address financial toxicity in cancer care should include examination of how patients and families communicate as unaddressed difficulties can have detrimental effects on family functioning in the long term. Future studies should also examine whether the prominence of specific economic topics, such as employment status, varies depending on where the patient is in their cancer journey. In this sample, cancer patients did not perceive the decline in family cohesion that was reported by their family caregiver. This is an important finding for future work that aims to identify the timing and nature to best intervene with caregiver supports to mitigate caregiver burden that may negatively impact long-term patient care and QoL.

The Basic Differences of Textual Cohesion between English and Chinese

This paper discusses the differences of cohesive devices between English and Chinese in sentence structure and text organization. Chinese has the characteristics of topic prominence, while English is subject prominent; Due to the differences in thinking styles between China and the West, there are differences in subject consciousness and object consciousness between English and Chinese. This leads to the differences between theme and rhyme in English and Chinese texts, and these differences also lead to the differences in cohesion. In addition, the parallel structure and loose grammatical relationship of Chinese and the tree structure and relatively strict grammatical restrictions of English can make the difference of textual cohesive devices.

Evaluating the impact of a CTSA program from 2008 to 2021 through bibliometrics, social network analysis, and altmetrics.

We evaluate a CTSA program hub by applying bibliometrics, social network analysis (SNA), and altmetrics and examine the changes in research productivity, citation impact, research collaboration, and CTSA-supported research topics since our pilot study in 2017. The sampled data included North Carolina Translational and Clinical Science Institute (NC TraCS)-supported publications produced between September 2008 and March 2021. We applied measures and metrics from bibliometrics, SNA, and altmetrics to the dataset. In addition, we analyzed research topics and correlations between different metrics. 1154 NC TraCS-supported publications generated over 53,560 citation counts by April 2021. The average cites per year and the relative citation ratio (RCR) mean of these publications improved from 33 and 2.26 in 2017 to 48 and 2.58 in 2021. The number of involved UNC units in the most published authors' collaboration network increased from 7 (2017) to 10 (2021). NC TraCS-supported co-authorship involved 61 NC organizations. PlumX metrics identified articles with the highest altmetrics scores. About 96% NC TraCS-supported publications have above the average SciVal Topic Prominence Percentile; the average approximate potential to translate of the included publication was 54.2%; and 177 publications addressed health disparity issues. Bibliometric measures (e.g., citation counts, RCR) and PlumX metrics (i.e., Citations, Captures, and Social-Media) are positively correlated (p < .05). Bibliometrics, SNA, and altmetrics offer distinctive but related perspectives to examine CTSA research performance and longitudinal growth, especially at the individual program hub level. These perspectives can help CTSAs build program foci.

Accessing Neuromarketing Scientific Performance: Research Gaps and Emerging Topics.

(1) Background: Using neuroscience to understand and influence consumer behavior often leads to ethical controversy. Thus, it is necessary to demystify the use of neuroscience for marketing purposes; the present paper, by accessing the worldwide academic performance in this domain, fulfills this objective. (2) Methods: All extant literature on neuromarketing indexed to the Scopus database—318 articles—was subjected to a bibliometric analysis through a mixed-method approach. (3) Results: The results show that Spain leads the ranks of the most productive countries, while Italian researchers clearly dominate in terms of collaboration. Regarding the most prominent topics, the connection between “Neuroscience” and “Advertising” is highlighted. The findings provide a better understanding of the state-of-the-art in neuromarketing studies, research gaps, and emerging research topics, and additionally provide a new methodological contribution by including SciVal topic prominence in the bibliometric analysis. (4) Conclusions: As practical implications, this study provides useful insights for neuromarketing researchers seeking funding opportunities, which are normally associated with topics within the top prominence percentile or emerging topics. In terms of originality, this study is the first to apply SciVal topic prominence to a bibliometric analysis of neuromarketing, and provides a new bibliometric indicator for neuromarketing research.

The Influence of Short Video News on College Students’ Emotional Interaction—— A Comparative Experiment Based on Gender Differences

The purpose of this study is to explore the interaction of college students’ emotional states when they receive short video news pieces with different emotions. At the same time, it analyzes whether there will be differences in modality changes and obviousness of the topic between different genders. This study used a controlled experiment with a stratified sampling method to select 118 students from Hunan University of Science and Technology. The results show that when college students are exposed to news topics with positive or negative attributes, their original emotional state will affect their subsequent emotional response. This pattern of interaction reflects the psychological theory of excitation transfer. In addition, the positive framing of short video news has a significant impact on positive audience sentiment and increased trust in the media. Female representatives had more significant emotional interactions. However, the prominence of news topics is not directly related to the emotional changes of college students.

Ending Enclosure by Copying the Commons

In the beginning (of bibliometrics), citation counts of academic research were generated to be used in annual calculations to express a research journal’s impact. Now those same citation counts make up a social graph of scholarly communication that is used to measure the research strengths of authors, the hotness of their papers, the topic prominence of their disciplines, and assess the strength of the institutions where they are employed. More troubling, the publishers of this emerging social graph are in the process of enclosing scholarship by trying to exclude the infrastructure of libraries and other independent, non-profit organizations invested in research.&#x0D; This paper will outline efforts currently being employed by scholarly communication librarians using platforms built by organizations such as Our Research’s UnPaywall and Wikimedia’s Wikidata Project so that the commons of scholarship can remain open. Strategies will be shared so that researchers can adapt their workflows so that they might allow their work to be copied, shared, and be found by readers widely across the commons. Scholars will be asked to make good choices.

Leadership research in the root of hospitality scholarship: 1960–2020

This study documents the intellectual structure and progress of hospitality leadership research over the past sixty years by presenting a perspective and conspectus. The authors use text mining analysis to explore topic highlights and how they have shifted over time. Leadership development has been the predominant feature followed by contemporary leadership behaviors. Of the eight leadership domains revealed by the co-citation and text mining analyses, four are associated with leadership styles, which in their turn impact on employees. LMX is the leading theme in hospitality leadership research, with growing attention to the darker side of leadership, particularly abusive supervision. The current study contributes to the hospitality literature by considering coverage of leadership issues since the 1960 s. Furthermore, it encompasses the evolution of hospitality leadership research from the development of theory to a focus on impacts, thereby providing crucial insights that may allow industry professionals to lead their organizations more effectively and efficiently. • Six decades of leadership research in hospitality scholarship is examined. • Three analyses were deployed - citation, co-citation analysis, and text mining analysis. • The study uses text mining analysis to the prominence and evolution of topics over time. • Co-citation and text mining analyses reveal that half of the leadership domains are associated with leadership style and impact on employees. • LMX is the predominant theory in hospitality leadership research.

Three-Dimensional Assessment of the Knowledge Production System: Region-City-Organization

Conceptualization of the region as an integral territorial system of knowledge production has formed a widely used research strategy for innovation studies within regional boundaries. Regional level studies are supported by detailed innovation statistics, which is unavailable for smaller administrative-territorial units, such as municipalities or settlements. The development of spatial scientometrics gave impetus for a new round of research on knowledge and innovation geography with a closer approximation in the context of cities and urban agglomerations. The scope of recent research also includes individual organizations that generate new knowledge or innovation. Despite the topic prominence, the entire array of studies is fragmented, and connections between different levels are not established: region – city – organization. Whereas this is critically important for the implementation of an effective innovation policy. In this regard, in this study, we test the hypothesis that the aggregate data obscures a wide variety of knowledge nodes, which are represented by a dominant knowledge centre. In the case of the region, such centres are often the largest cities, and in the case of cities – the largest organizations. The research design is focused on assessing the knowledge production at a multiscale level – organization, city and region, using the method of spatial scientometrics. The example of the Russian Federation illustrates well the territorial and institutional diversity in the distribution of knowledge production centres of different levels due to its great length and complexity of the structure of the national innovation system. This fact determines the high degree of heterogeneity of the Russian innovation space at the interregional, intercity and inter-organizational levels. The research results show a strong correlation between the knowledge profiles of regions and their primary knowledge-generating cities (KGCs). In cases of a strong central-peripheral structure of the regional knowledge production system, the regional profile completely coincides with the profile of its primary KGC. The knowledge capacity of second-tier cities remains hidden. At the city level, the identified trend is exacerbated. The absence of a pronounced leader among knowledge-intensive organizations (KIOs) against organizational diversity leads to a strong blur of the effectiveness of the knowledge production capabilities of a city. The example of Khabarovsk shows that the research profile of a city in a given situation may not repeat the most productive KIO, but, on the contrary, a weak one. Thus, the three-dimensional region-city-organization approach captures local specifics and organizational diversity, encompassing the entire set of elements of a regional knowledge production system. The study concludes with recommendations for a knowledge management policy at a tiered level.

Topic Prominence of Tourism and Hospitality Scientific Research: The Case of Switzerland

Topic prominence is regarded as a recent indicator that reveals the present momentum of a certain topic by considering the citations, views, and CiteScore thresholds. Topic prominence has been examined in prior research within different contexts, however, there is no known study exploring this trend within tourism and hospitality literature. Therefore, this study aims to analyse and map the topic prominence of Tourism, Leisure and Hospitality Management (TLHM) research by focusing on Switzerland as a case study. The collected data included 337 articles published in 46 journals indexed in Scopus under the subject category of TLHM. The findings concluded that topic prominence is an important indicator for measuring scientific research productivity, including peer-reviewed articles. More particularly, it is revealed that the investigation of topic prominence provides an overall clearer picture of Swiss TLHM research. This study contributes to tourism studies by discussing the usage of the topic prominence metric for tourism and hospitality publications. It also presents practical implications for tourism research managers and researchers by providing solid insights into funded research, scholars’ and institutions’ performance, and momentum of topics associated with the Swiss TLHM articles.

Topic Modelling Discourse Dynamics in Historical Newspapers

This paper addresses methodological issues in diachronic data analysis for historical research. We apply two families of topic models (LDA and DTM) on a relatively large set of historical newspapers, with the aim of capturing and understanding discourse dynamics. Our case study focuses on newspapers and periodicals published in Finland between 1854 and 1917, but our method can easily be transposed to any diachronic data. Our main contributions are a) a combined sampling, training and inference procedure for applying topic models to huge and imbalanced diachronic text collections; b) a discussion on the differences between two topic models for this type of data; c) quantifying topic prominence for a period and thus a generalization of document-wise topic assignment to a discourse level; and d) a discussion of the role of humanistic interpretation with regard to analysing discourse dynamics through topic models.

5335 days of Implementation Science: using natural language processing to examine publication trends and topics

IntroductionMoving evidence-based practices into the hands of practitioners requires the synthesis and translation of research literature. However, the growing pace of scientific publications across disciplines makes it increasingly difficult to stay abreast of research literature. Natural language processing (NLP) methods are emerging as a valuable strategy for conducting content analyses of academic literature. We sought to apply NLP to identify publication trends in the journal Implementation Science, including key topic clusters and the distribution of topics over time. A parallel study objective was to demonstrate how NLP can be used in research synthesis.MethodsWe examined 1711 Implementation Science abstracts published from February 22, 2006, to October 1, 2020. We retrieved the study data using PubMed’s Application Programming Interface (API) to assemble a database. Following standard preprocessing steps, we use topic modeling with Latent Dirichlet allocation (LDA) to cluster the abstracts following a minimization algorithm.ResultsWe examined 30 topics and computed topic model statistics of quality. Analyses revealed that published articles largely reflect (i) characteristics of research, or (ii) domains of practice. Emergent topic clusters encompassed key terms both salient and common to implementation science. HIV and stroke represent the most commonly published clinical areas. Systematic reviews have grown in topic prominence and coherence, whereas articles pertaining to knowledge translation (KT) have dropped in prominence since 2013. Articles on HIV and implementation effectiveness have increased in topic exclusivity over time.DiscussionWe demonstrated how NLP can be used as a synthesis and translation method to identify trends and topics across a large number of (over 1700) articles. With applicability to a variety of research domains, NLP is a promising approach to accelerate the dissemination and uptake of research literature. For future research in implementation science, we encourage the inclusion of more equity-focused studies to expand the impact of implementation science on disadvantaged communities.

Two decades of European criminology: Exploring the conferences of the European Society of Criminology through topic modelling

What is European criminology about? Through topic modelling, we investigate the content of 11,724 presentations held at the annual conferences of the European Society of Criminology, the largest and most influential professional association in Europe for those who are actively engaged in research, teaching, and/or practice in criminology, from 2001 to 2019. We extract 50 topics and identify the top contributing institutions and countries based on first author institutional affiliation. In addition, we determine the most and least influential topics in European criminology. We further explore how the prominence of topics has evolved over time and identify five topics that are increasingly being addressed and three topics that have gradually declined in interest – hot and cold topics, respectively. The results are discussed in light of previous research on European criminology and current debates on its epistemology.

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Article age- and field-normalized tools to evaluate scientific impact and momentum

The Field Weighted Citation Index (FWCI) is an article age- and field-normalized metric to evaluate scientific visibility and impact. The Topic Prominence Percentile (TPP) is another parameter that allegedly measures an article’s “momentum.” Both are available at SciVal and are thought-provoking but have been scarcely used by the community, partially because it is very time-consuming to collect these parameters, paper by paper. In this article, we created and tested a computer code that can efficiently harvest the FWCI and TPP of articles of any chosen researcher, research group, or institution from the Scopus database. After collecting the desired data, our algorithm computes the sum, mean and standard deviation, mode, and median. It also calculates an alternative metric, proposed here, i.e., a normalized parameter that divides each FWCI by the number of authors of that article and then produces similar metrics. We first used the new algorithm to collect an article dataset from a selected researcher, used as an example, who has published 226 articles since 2000. The automated data collection task took 35 min versus 4 h manually. To demonstrate the power of this approach, we present the most relevant results. For instance, 20% of this researcher’s papers have achieved very high visibility, an FWCI ≥ 2. Surprisingly, however, his articles of the highest FWCI are not the most cited. His 20 oldest papers have a similar FWCI to the 20 newest, showing that his scientific output reached a steady-state long ago. Moreover, we discovered that the papers of the highest FWCI have a higher share (65%) of international collaborators than the articles of the lowest FWCI (< 40%). These results corroborate the well-known trend that international collaboration increases scientific visibility. To generalize these findings, we also successfully compared the FWCI statistics of several senior researchers and young investigators who work in diverse fields, revealing significant differences. This way, we demonstrated that the proposed computer code and resulting metrics provide a new scientometric tool. However, a drawback is that a significant fraction of the “topics” defined by SciVal does not perfectly fit the article’s field, which leads to errors in the computation of the FWCI. Therefore, while the FWCI is a handy parameter to evaluate and compare the scientific visibility and impact of researchers of any age and science field, reliable analyses will only be possible using an improved choice of topics.

Transfer and unlearning of topic prominence by Chinese learners of English

Abstract Chinese allows both gapped and gapless topic constructions without their usage being restricted to specific contexts, while English only allows gapped topic constructions which are used in certain contexts. In other words, Chinese uses ‘topic prominence’, whereas English does not. The contrast between English and Chinese topic constructions poses a learnability problem for Chinese learners of English. This paper uses an empirical study investigating first language (L1) transfer in the case of Chinese learners of English and the extent to which they are able to unlearn topic prominence as they progress in second language (L2) English. Results of an acceptability judgment test indicate that Chinese learners of English initially transfer Chinese topic prominence into their English, then gradually unlearn Chinese topic prominence as their English proficiency improves, and finally unlearn Chinese topic prominence successfully. The results support the Full Transfer Theory (Schwartz, Bonnie &amp; Rex Sprouse. 1996. L2 cognitive states and the Full Transfer/Full Access model. Second Language Research 12. 40–72) and the Variational Learning Model (Yang, Charles. 2004. Universal Grammar, statistics or both? Trends in Cognitive Sciences 8. 451–456), but contradict the proposal that the topic prominence can never be transferred but may be unlearned from the beginning in Chinese speakers’ acquisition of English (Zheng, Chao. 2001. Nominal Constructions Beyond IP and Their Initial Restructuring in L2 Acquisition. Guangzhou: Guangdong University of Foreign Studies Ph.D. dissertation). In addition, the type of topic constructions that is used and whether or not a comma is added after the topic have an effect on learners’ transfer and unlearning of topic prominence. It is proposed that the specification of Agr(eement) and T(ense) as well as the presence of expletive subjects in English input can trigger the unlearning of topic prominence for Chinese learners of English.