scholarly journals Fake News and Related Concepts: Definitions and Recent Research Development

2020 ◽  
Vol 16 (3) ◽  
pp. 145-174
Author(s):  
Chih-Chien Wang

Fake news is an emerging field of research that attracts much attention from academic communities as well as mass media practitioners. However, the concept of fake news is still ambiguous, and the boundary between the definition of fake news and other relative concepts, such as news satire, yellow journalism, junk news, pseudo-news, hoax news, propaganda news, advertorial, false information, fake information, misinformation, disinformation, mal-information, alternative fact, and post-truth is blurred. The present study aims to identify the meanings of fake news and other related concepts, and explore the recent trend of research on them. By searching the journals listed in the Social Sciences Citation Index (SSCI) and Science Citation Index Expanded (SCI-Expanded) database, the present study found 387 articles on fake news. Through analyzing these articles, the present study maps the trend and reveals the highly influential research articles, as well as theories and concepts that are used. The results may provide fundamental insights into the development of research on fake news in recent years.

2013 ◽  
Vol 333-335 ◽  
pp. 2239-2242
Author(s):  
Bing Wu ◽  
Chen Yan Zhang

We review on the literatures gleaned from science citation index expanded (SCI-EXPANED) and Social Sciences Citation Index (SSCI) database on web of science, concerning evaluation research in E-Learning system. The result indicates that the number of citation literature on this topic mainly distributes in recently 7 years, reaching climax of 30 in 2012 and then followed by 2011. The main research territory is Taiwan. And from the analysis of research area, computer science accounts for 83.3333%. Accordingly the percentage of source title as computers education is 41.667%. The related research can be classified into evaluation part of the system and evaluation the whole E-Learning system.


2020 ◽  
pp. 31-52
Author(s):  
Cesar H. Limaymanta Alvarez ◽  
Hilda Zulueta-Rafael ◽  
Cristina Restrepo-Arango ◽  
Patricio Alvarez-Muñoz

Este artículo compara la producción científica de Perú y Ecuador entre 2009 y 2018. Se recuperaron documentos con al menos una afiliación peruana o ecuatoriana desde el Science Citation Index Expanded, Social Sciences Citation Index, Arts & Humanities Citation Index y Emerging Sources Citation Index de la base de datos Web of Science. Se evaluaron la tendencia y el crecimiento exponencial de la producción científica, se identificaron instituciones y áreas temáticas más productivas. Se estudió la estructura intelectual de la producción científica peruana y ecuatoriana mediante el análisis de acopla-miento bibliográfico de autores (AABA) y el análisis de cocitación de autores (ACA). Los resultados muestran que Perú tiene mayor producción acumulada que Ecuador. Sin embargo, Ecuador tiene mayor producción en los tres últimos años, incluso con pronóstico de seguir produciendo más que Perú. Las instituciones más productivas en ambos países son las universidades, y las categorías temáticas más productivas para Perú son salud ocupacional y ambiental y, para Ecuador son investigación educativa y ciencias ambientales.


2020 ◽  
Vol 29 (2) ◽  
pp. 203-214
Author(s):  
Pei-Shan Chi

Abstract The usage data provided by Web of Science Core Collection (WoS) implies the scholarly interest of researchers through full text accesses and record saves on the platform. The WoS usage count has been studied for journal papers alongside citations at different levels of journal, country, and field. To extend the results of the previous studies, this study explores the WoS usage counts for book literature in the Book Citation Index (BKCI) to determine the usefulness of the usage statistics provided by the new data source and their different patterns across fields as well as document types. The correlations between WoS citations and usage counts are from weak to moderate in six selected fields. Edited books have stronger correlations between the two metrics than the other two document type groups. Usage data of aggregated book volumes in the sciences correlate with citations significantly and show higher utilization rates than citations. Their usage counts on the same platform are the supplement of WoS citations in the fields. In contrast, book publications in the social sciences and humanities (SSH) present a different pattern of their usage to reduce its ability to coordinate citations. In addition, the low usage of books in SSH may indicate the limited access of the BKCI-SSH and probably lower effectiveness of its usage data compared to the Social Sciences Citation Index (SSCI). However, the further investigation of altmetric usage metrics from different sources confirms an overall lower usage for books in the social sciences than in the sciences.


2015 ◽  
Vol 4 (2) ◽  
pp. 19 ◽  
Author(s):  
M. A. Palazón ◽  
E. Ortega ◽  
A. García-Angulo

<p>El objetivo del presente estudio es realizar un análisis bibliométrico de la producción científica en el deporte de fútbol sala. Para ello se utilizó la colección principal de la plataforma “Web of Science” con las bases de datos Science Citation Index Expanded (SCI-EXPANDED) y Social Sciences Citation Index (SSCI). La búsqueda ofreció 81 artículos de los que se analizaron las siguientes variables: 1) título; 2) nombre del autor principal; 3) institución del primer autor; 4) no de autores; 5) revista; 6) número de citas; 7) año de publicación; 8) disciplina principal del estudio; 9) tipo de estudio; 10) tamaño de muestra; 11) nivel deportivo de la muestra, 12) sexo de la muestra. En los resultados destacaron los artículos de tipo experimental, los de sexo masculino y a deportistas de nivel profesional. Respecto a las instituciones, destacan las de países con un gran auge en lo que se refiere a fútbol sala, como Brasil y Portugal.</p>


2017 ◽  
Vol 2 (3) ◽  
pp. 68-111 ◽  
Author(s):  
Stephen Carley ◽  
Alan L. Porter ◽  
Ismael Rafols ◽  
Loet Leydesdorff

Abstract Purpose The purpose of this study is to modernize previous work on science overlay maps by updating the underlying citation matrix, generating new clusters of scientific disciplines, enhancing visualizations, and providing more accessible means for analysts to generate their own maps. Design/methodology/approach We use the combined set of 2015 Journal Citation Reports for the Science Citation Index (n of journals = 8,778) and the Social Sciences Citation Index (n = 3,212) for a total of 11,365 journals. The set of Web of Science Categories in the Science Citation Index and the Social Sciences Citation Index increased from 224 in 2010 to 227 in 2015. Using dedicated software, a matrix of 227 × 227 cells is generated on the basis of whole-number citation counting. We normalize this matrix using the cosine function. We first develop the citing-side, cosine-normalized map using 2015 data and VOSviewer visualization with default parameter values. A routine for making overlays on the basis of the map (“wc15.exe”) is available at http://www.leydesdorff.net/wc15/index.htm. Findings Findings appear in the form of visuals throughout the manuscript. In Figures 1–9 we provide basemaps of science and science overlay maps for a number of companies, universities, and technologies. Research limitations As Web of Science Categories change and/or are updated so is the need to update the routine we provide. Also, to apply the routine we provide users need access to the Web of Science. Practical implications Visualization of science overlay maps is now more accurate and true to the 2015 Journal Citation Reports than was the case with the previous version of the routine advanced in our paper. Originality/value The routine we advance allows users to visualize science overlay maps in VOSviewer using data from more recent Journal Citation Reports.


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