Frontiers in research metrics and analytics最新文献

{"title":"A role for qualitative methods in researching Twitter data on a popular science article's communication.","authors":"Travis Noakes, Corrie Susanna Uys, Patricia Ann Harpur, Izak van Zyl","doi":"10.3389/frma.2024.1431298","DOIUrl":"10.3389/frma.2024.1431298","url":null,"abstract":"<p><p>Big Data communication researchers have highlighted the need for qualitative analysis of online science conversations to better understand their meaning. However, a scholarly gap exists in exploring how qualitative methods can be applied to small data regarding micro-bloggers' communications about science articles. While social media attention assists with article dissemination, qualitative research into the associated microblogging practices remains limited. To address these gaps, this study explores how qualitative analysis can enhance science communication studies on microblogging articles. Calls for such qualitative approaches are supported by a practical example: an interdisciplinary team applied mixed methods to better understand the promotion of an unorthodox but popular science article on Twitter over a 2-year period. While Big Data studies typically identify patterns in microbloggers' activities from large data sets, this study demonstrates the value of integrating qualitative analysis to deepen understanding of these interactions. In this study, a small data set was analyzed using NVivo™ by a pragmatist and MAXQDA™ by a statistician. The pragmatist's multimodal content analysis found that health professionals shared links to the article, with its popularity tied to its role as a communication event within a longstanding debate in the health sciences. Dissident professionals used this article to support an emergent paradigm. The analysis also uncovered practices, such as language localization, where a title was translated from English to Spanish to reach broader audiences. A semantic network analysis confirmed that terms used by the article's tweeters strongly aligned with its content, and the discussion was notably pro-social. Meta-inferences were then drawn by integrating the findings from the two methods. These flagged the significance of contextualizing the sharing of a health science article in relation to tweeters' professional identities and their stances on health-related issues. In addition, meta-critiques highlighted challenges in preparing accurate tweet data and analyzing them using qualitative data analysis software. These findings highlight the valuable contributions that qualitative research can make to research involving microblogging data in science communication. Future research could critique this approach or further explore the microblogging of key articles within important scientific debates.</p>","PeriodicalId":73104,"journal":{"name":"Frontiers in research metrics and analytics","volume":"9 ","pages":"1431298"},"PeriodicalIF":0.0,"publicationDate":"2025-01-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11747522/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143016344","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Public advocates, private advisors: the autonomy, function, and influence of the President's Council of Advisors on Science and Technology.","authors":"Kenneth M Evans, Kirstin R W Matthews","doi":"10.3389/frma.2024.1455510","DOIUrl":"10.3389/frma.2024.1455510","url":null,"abstract":"<p><p>US national expert advisory bodies related to science, technology, and innovation (STI) policy have a wide range of missions, governing structures, operational practices, cultures, and impact on federal policymaking. This paper offers an analytical framework for assessing the autonomy, function, and influence of the President's Council of Advisors on Science and Technology (PCAST), a federal advisory committee consisting of 30 elite scientists, engineers, and industry leaders appointed by and advising the president. We demonstrate that PCAST carries both a strong instrumental advisory role, providing substantive advice to White House STI policy development, and a significant symbolic advisory role, offering visible public support to presidential decisions and initiatives related to STI. However, we find that the council's engagement with either or both roles has shifted depending on its available resources, the policy agenda of the administration it serves, the level of presidential attention, and the priorities of council leadership. The paper concludes with recommendations to guide future PCASTs in fulfilling their mission and appropriately influencing US national STI policy.</p>","PeriodicalId":73104,"journal":{"name":"Frontiers in research metrics and analytics","volume":"9 ","pages":"1455510"},"PeriodicalIF":0.0,"publicationDate":"2024-12-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11703804/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142959685","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Using feminist methodologies to explore female genital mutilation/cutting and child marriage in low- and middle-income contexts.","authors":"Nicola Jones, Kate Pincock, Sarah Alheiwidi","doi":"10.3389/frma.2024.1330289","DOIUrl":"10.3389/frma.2024.1330289","url":null,"abstract":"<p><p>This paper discusses how harmful practices such as child marriage and female genital mutilation/cutting (FGM/C) can be effectively explored through feminist methodologies that center the lived experiences of girls and young women affected by these issues. Eliminating harmful practices, which are rooted in gender inequality and have myriad life-course consequences for those who experience them, has become a global priority in recent years. However, dominant conceptualizations of the drivers and consequences of child marriage and FGM/C often fail to adequately engage with or reflect adolescent girls' own nuanced experiences and perceptions. A feminist epistemology underlines the need for research methods that can uncover and address dynamics of power and inequality, as well as the complexities of voice and agency surrounding these practices, both of which perpetuate harmful practices and marginalize the voices of those who are most affected. The paper discusses adaptations to two key sets of methodological tools used with adolescent girls in research on FGM/C in Ethiopia and on child marriage in Bangladesh, Ethiopia, Jordan, and Lebanon as part of the Gender and Adolescence: Global Evidence (GAGE) longitudinal study. The purpose of these tools was to address and shift power inequalities, both within the research process and in girls' lives more widely. The Social Network Hexagon, Marriage Chain, and Marriage Decision-Making Pairs tools were used to explore child marriage decision-making processes and dynamics and outcomes for adolescent girls. A vignette-based discussion on FGM/C and child marriage and a version of a Social Network Hexagon tool were used to improve understanding of adolescents' social networks and the extent to which these shape their options for change. We find that context-specific adaptations to the tools, determined through ongoing reflexive dialogue with local researchers, were key to creating space for deep reflection and engagement by girls. Exploring the wider structural and social dynamics that enable and constrain girls' agency and decision-making around harmful practices was also key. It enabled insights into the complex ways in which gender- and age-based social norms are exercised within girls' socio-ecological contexts, as well as possible entry points for change.</p>","PeriodicalId":73104,"journal":{"name":"Frontiers in research metrics and analytics","volume":"9 ","pages":"1330289"},"PeriodicalIF":0.0,"publicationDate":"2024-12-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11688646/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142916059","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Leveraging journal citation-based metrics for enhanced university rankings methodology.","authors":"Ali Ghaddar, Sergio Thoumi, Samer S Saab","doi":"10.3389/frma.2024.1510169","DOIUrl":"10.3389/frma.2024.1510169","url":null,"abstract":"<p><p>This paper proposes a novel framework for evaluating research performance in university rankings, utilizing journal citation-based metrics and scholarly output instead of traditional article citation metrics. Through correlation analysis, we compare the proposed metrics with article citation metrics used by prominent ranking systems (THE and QS) and demonstrate significantly higher correlations with established rankings (QS, THE, and ARWU). The proposed metrics exhibit robustness over time and offer a fairer evaluation by emphasizing objective performance and mitigating citation biases. This framework provides institutions with a more accurate benchmarking tool to inform strategic decisions and resource allocation. While acknowledging potential limitations in data availability and the challenge of achieving global consensus, this study contributes to the ongoing discourse on university rankings by advocating for a more equitable and robust evaluation system by balancing diverse metrics and offering more standardized measures.</p>","PeriodicalId":73104,"journal":{"name":"Frontiers in research metrics and analytics","volume":"9 ","pages":"1510169"},"PeriodicalIF":0.0,"publicationDate":"2024-12-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11688345/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142916058","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Designing a model of indifference in theorizing in management research with grounded theory approach.","authors":"Maryam Asgharinajib, Sima Aalipour, Shahryar Sorooshian","doi":"10.3389/frma.2024.1460135","DOIUrl":"https://doi.org/10.3389/frma.2024.1460135","url":null,"abstract":"<p><p>This study explores and elucidates the phenomenon of indifference in theorizing within management research in Iran, highlighting the causal conditions and implications of this indifference on both the academic and practical landscapes of management. Using a qualitative grounded theory methodology, this study synthesized the data collected through interviews with management faculty members from various Iranian universities. Purposive sampling was employed to select participants until theoretical saturation was achieved with 29 interviews. The data were analyzed using ATLAS.ti software, enabling the construction of a paradigm model to explain the observed phenomena. The study identified multiple causal conditions contributing to indifference in theorizing, including individual, educational, cultural, economic, social, political, and systemic factors. These factors collectively foster a climate of scientific isolation, hindering the development of management theories and affecting both educators and students. The outcomes of this indifference manifest as a reduction in theoretical innovation and diminished engagement with management theory among academics and practitioners. Indifference, as a key concept in the presented model, represents a type of scientific silence, indicating the unwillingness or inability of researchers to create new and effective theories in the field of management. This research contributes to the field by providing a detailed model of the dynamics underlying indifference in theorizing within management studies in Iran, a topic that has received limited attention in the existing literature. The study's findings emphasize the need for systemic changes to overcome barriers to theorizing and suggest pathways for revitalizing theoretical contributions in management research.</p>","PeriodicalId":73104,"journal":{"name":"Frontiers in research metrics and analytics","volume":"9 ","pages":"1460135"},"PeriodicalIF":0.0,"publicationDate":"2024-12-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11672210/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142904154","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Participant selection procedures in qualitative research: experiences and some points for consideration.","authors":"Niroj Dahal, Bharat Prasad Neupane, Binod Prasad Pant, Rebat Kumar Dhakal, Dhudi Raj Giri, Puna Ram Ghimire, Laxman Prasad Bhandari","doi":"10.3389/frma.2024.1512747","DOIUrl":"10.3389/frma.2024.1512747","url":null,"abstract":"<p><p>Qualitative research is widely embraced in the social sciences and education. Among the different traditional, modern, and community-oriented qualitative methodologies, we have drawn on our experiences to adopt seven qualitative methodologies: auto/ethnography, narrative inquiry, participatory action research, ethnography, case study, grounded theory, and phenomenology. Despite the abundance of literature on qualitative methodologies, there is still a need for a more focused exploration of participant selection procedures in qualitative studies. This article examines the discourse around participant selection procedures within these seven methodologies, highlighting their unique nuances and differences. It offers practical insights and guidelines for novice and experienced researchers and graduate and postgraduate students to enhance their understanding of participant selection procedures, and some thinking points for consideration. Drawing from our experiences, we aim to provide a useful resource that encourages thoughtful consideration of participant selection in qualitative studies.</p>","PeriodicalId":73104,"journal":{"name":"Frontiers in research metrics and analytics","volume":"9 ","pages":"1512747"},"PeriodicalIF":0.0,"publicationDate":"2024-12-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11697429/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142933737","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Catalyzing sustainable development: insights from the international workshop on STI policies and innovation systems in Central America.","authors":"Jorge A Huete-Pérez, Alma Cristal Hernández-Mondragón, Douglas S Massey, Luz M Cumba García, Bernard Amadei, Nadia De León Sautú, Maria L Acosta, Omar Asensio, John Boright, Serena Cosgrove, Emilio Hernández Hernández, María López-Selva, Juan L Manfredi, Fanor Mondragón, José M Natera, Oscar C Picardo Joao, Angelo Rivero Santos, Harold O Rocha","doi":"10.3389/frma.2024.1511393","DOIUrl":"10.3389/frma.2024.1511393","url":null,"abstract":"<p><p>This article examines the landscape of Science, Technology, and Innovation policies in Central America, focusing on Nicaragua, Guatemala, Honduras, and El Salvador. These nations face significant challenges in leveraging STI for sustainable development, including financial constraints and limited resources. Additionally, Central America struggles with systemic issues such as corruption, violence, and high levels of emigration, further complicating efforts to advance STI. A workshop organized by Georgetown University's Science Technology and International Affairs program brought together scholars to discuss STI policies, resulting in key recommendations. The article highlights critical challenges, including over-reliance on state funding, stagnant researcher numbers, and the pressing need for research diversification. It emphasizes the importance of youth engagement, leadership, and resilience in shaping effective STI policies. Recommendations include investing in science education, establishing governmental scientific advisory bodies, promoting research diversity, and addressing climate change through STI strategies. The findings provide valuable insights for scholars, policymakers, and international organizations working with less developed nations globally.</p>","PeriodicalId":73104,"journal":{"name":"Frontiers in research metrics and analytics","volume":"9 ","pages":"1511393"},"PeriodicalIF":0.0,"publicationDate":"2024-12-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11669327/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142900612","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Paradigm shifts: exploring AI's influence on qualitative inquiry and analysis.","authors":"Ryan Thomas Williams","doi":"10.3389/frma.2024.1331589","DOIUrl":"10.3389/frma.2024.1331589","url":null,"abstract":"<p><p>Technology has mostly been embraced in qualitative research as it has not directly conflicted with qualitative methods' paradigmatic underpinnings. However, Artificial Intelligence (AI), and in particular the process of automating the analysis of qualitative research, has the potential to be in conflict with the assumptions of interpretivism. The short article aims to explore how AI technologies, such as Natural Language Processing (NLP), have started to be used to analyze qualitative data. While this can speed up the analysis process, it has also sparked debates within the interpretive paradigm about the validity and ethics of these methods. I argue that research underpinned by the human researcher for contextual understanding and final interpretation should mostly remain with the researcher. AI might overlook the subtleties of human communication. This is because automated programmes with clear rules and formulae do not work well-under interpretivism's assumptions. Nevertheless, AI may be embraced in qualitative research in a partial automation process that enables researchers to conduct rigorous, rapid studies that more easily incorporate the many benefits of qualitative research. It is possible that AI and other technological advancements may lead to new research paradigms that better underpin the contemporary digital researcher. For example, we might see the rise of a \"computational\" paradigm. While AI promises to enhance efficiency and rigor in data analysis, concerns remain about its alignment with interpretivism.</p>","PeriodicalId":73104,"journal":{"name":"Frontiers in research metrics and analytics","volume":"9 ","pages":"1331589"},"PeriodicalIF":0.0,"publicationDate":"2024-12-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11656929/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142866277","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"AI-powered fraud and the erosion of online survey integrity: an analysis of 31 fraud detection strategies.","authors":"Natalia Pinzón, Vikram Koundinya, Ryan E Galt, William O'R Dowling, Marcela Baukloh, Namah C Taku-Forchu, Tracy Schohr, Leslie M Roche, Samuel Ikendi, Mark Cooper, Lauren E Parker, Tapan B Pathak","doi":"10.3389/frma.2024.1432774","DOIUrl":"10.3389/frma.2024.1432774","url":null,"abstract":"<p><p>The proliferation of AI-powered bots and sophisticated fraudsters poses a significant threat to the integrity of scientific studies reliant on online surveys across diverse disciplines, including health, social, environmental and political sciences. We found a substantial decline in usable responses from online surveys from 75 to 10% in recent years due to survey fraud. Monetary incentives attract sophisticated fraudsters capable of mimicking genuine open-ended responses and verifying information submitted months prior, showcasing the advanced capabilities of online survey fraud today. This study evaluates the efficacy of 31 fraud indicators and six ensembles using two agriculture surveys in California. To evaluate the performance of each indicator, we use predictive power and recall. Predictive power is a novel variation of precision introduced in this study, and both are simple metrics that allow for non-academic survey practitioners to replicate our methods. The best indicators included a novel email address score, MinFraud Risk Score, consecutive submissions, opting-out of incentives, improbable location.</p>","PeriodicalId":73104,"journal":{"name":"Frontiers in research metrics and analytics","volume":"9 ","pages":"1432774"},"PeriodicalIF":0.0,"publicationDate":"2024-12-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11646990/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142840455","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"The multilayer semantic network structure of community tensions.","authors":"Casey Randazzo, Sarah Shugars, Rachel M Acosta, Marya Doerfel","doi":"10.3389/frma.2024.1417990","DOIUrl":"10.3389/frma.2024.1417990","url":null,"abstract":"<p><strong>Introduction: </strong>Semantic network analysis is an important tool researchers can use to untangle the knots of tension that arise as communities debate and discuss complex issues. Yet words connect not only to each other in community discourse but to larger themes or issues.</p><p><strong>Methods: </strong>In this paper, we demonstrate the use of multilayer analysis for the study of semantic networks, helping to unravel connections within and between community tensions. In examining knotted tensions that arise in the wake of disaster, this study also spotlights how climate disasters exacerbate issues like housing equity, disproportionately affecting lower-income communities. We examine discourse across eight months of online neighborhood threads about community issues in the aftermath of Hurricane Ida. We identify core tensions related to environmental sustainability, overdevelopment, neighborhood identity preservation, and economic vitality. Our within-tension analysis reveals the community's struggle with such dilemmas, while our between-tension analysis shows the interconnectedness of these issues. Our approach highlights which stakeholders are best positioned to address specific community problems.</p><p><strong>Results: </strong>The findings challenge the conventional top-down disaster response narrative, proposing a theoretically informed method for employing semantic network analysis to examine community crises. Through this work, we extend organizational communication theories of knotted tensions, offering a nuanced lens to community discourse in the face of wicked problems.</p>","PeriodicalId":73104,"journal":{"name":"Frontiers in research metrics and analytics","volume":"9 ","pages":"1417990"},"PeriodicalIF":0.0,"publicationDate":"2024-12-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11646995/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142840456","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}