scholarly journals The Word List Distribution in Social Science Research Articles

2017 ◽  
Author(s):  
Arab World English Journal ◽  
Sorawut Chanasattru ◽  
Supong Tangkiengsirisin
Keyword(s):  
Social Science ◽  
Social Science Research ◽  
Word List ◽  
Science Research ◽  
Research Articles ◽  
General Category ◽  
Word Families ◽  
Research Areas ◽  
Flash Cards ◽  
Word Lists

This study investigates the distribution and coverage of words in New General Service List (NGSL) and the Academic Word List (AWL) in social science research articles. Sixty-four open-access English social science research articles published in 2013-2015 in the ScienceDirect General category were selected and compiled to the Social Science Corpus (SSC). The AntWordProfiler 1.4.0 was utilized to calculate the frequency and coverage percentage of words from the two word lists. Word families in level 1 and level 2 of the NGSL were utilized over 70 percent, whilst level 3 word families were used around 60 percent of the entire SSC. Similarly, 99.65 percent of the AWL word families were discovered. Regarding coverage, the NGSL word families accounted for over 70 percent and the AWL word families covered around 14 percent revealing significant coverage of both word lists. The top 10 NGSL word families represented journals subject areas from which they were derived, whilst the top 10 AWL word families were used more repeatedly and linked with social science research areas. The finding of high distributions and coverage corroborated that the NGSL and the AWL significantly contribute to vocabulary pedagogy in preparing students for reading and writing social science research articles. Additionally, some pedagogical implication guidelines of the NGSL and the AWL such as flash cards, quizzes, and written tests were also introduced.

scholarly journals The Word List Distribution in Social Science Research Articles

2017 ◽  
Vol 8 (4) ◽  
pp. 412-429
Author(s):  
Sorawut Chanasattru ◽  
Supong Tangkiengsirisin
Keyword(s):  
Social Science ◽  
Social Science Research ◽  
Word List ◽  
Science Research ◽  
Research Articles

Representing own and other voices in social science research articles

2013 ◽  
Vol 18 (2) ◽  
pp. 199-228 ◽  
Author(s):  
Jean Parkinson
Keyword(s):  
Social Science ◽  
Social Action ◽  
Social Science Research ◽  
Science Research ◽  
Research Articles ◽  
Prominent Feature ◽  
The Social ◽  
Complement Clauses ◽  
Research Findings ◽  
Prior Investigation

That complement clauses are a prominent feature of various registers including conversation and academic prose. In academic prose, that-clauses are of interest because they frame research findings, the writer’s central message to the reader. To achieve this persuasive purpose, that-clauses are employed to draw in various voices, including those of other researchers, research participants, research findings and the writer. This study extends prior investigation of complement clauses to examine their distribution across different sections of a corpus of research articles in social science. The social action of each section is partially achieved through what the different voices in the different sections of the article talk about, and the subtle variations in the stance of the author and other voices across sections. This study finds that use of reporting verbs is nuanced according to authors’ purposes in different sections, and also according to the source of the proposition in the that-clause.

Multi-Agent Systems Research and Social Science Theory Building

2007 ◽  
pp. 101-110
Author(s):  
H. Verhagen
Keyword(s):  
Social Science ◽  
Organization Theory ◽  
Social Science Research ◽  
Science Research ◽  
Multi Agent Systems ◽  
Agent Systems ◽  
Research Areas ◽  
Systems Research ◽  
Science Theory ◽  
Multi Agent

This chapter describes the possible relationship between multi-agent systems research and social science research, more particularly sociology. It gives examples of the consequences and possibilities of these relationships, and describes some of the important issues and concepts in each of these areas. It finally points out some future directions for a bi-directional relationship between the social sciences and multi-agent systems research which hopefully will help researchers in both research areas, as well as researchers in management and organization theory.

scholarly journals Review of social science research on the impact of countermeasures against influence operations

2021 ◽  
Author(s):  
Laura Courchesne ◽  
Julia Ilhardt ◽  
Jacob N. Shapiro
Keyword(s):  
Systematic Review ◽  
Social Media ◽  
Social Science ◽  
Empirical Studies ◽  
Social Science Research ◽  
Science Research ◽  
Research Articles ◽  
The Impact

Despite ongoing discussion of the need for increased regulation and oversight of social media, as well as debate over the extent to which the platforms themselves should be responsible for containing misinformation, there is little consensus on which interventions work to address the problem of influence operations and disinformation campaigns. To provide policymakers and scholars a baseline on academic evidence about the efficacy of countermeasures, the Empirical Studies of Conflict Project conducted a systematic review of research articles that aimed to estimate the impact of interventions that could reduce the impact of misinformation.

Future directions for mobile augmented reality research: Understanding relationships between augmented reality users, nonusers, content, devices, and industry

2018 ◽  
Vol 7 (1) ◽  
pp. 131-149 ◽  
Author(s):  
Tony Liao
Keyword(s):  
Augmented Reality ◽  
Social Science ◽  
Science Fiction ◽  
Social Science Research ◽  
Science Research ◽  
Mobile Technologies ◽  
Mobile Augmented Reality ◽  
Mobile Media ◽  
Research Areas ◽  
Theoretical Perspectives

As the field of mobile media studies continues to grow, researchers are focusing on new developments and trends in mobile technologies. One of these areas that has been garnering interest is mobile augmented reality (AR) technologies. While much of the earliest research in AR was primarily focused on answering computer science and engineering related questions, social science and humanities scholars have started taking note of AR as perhaps the next major development in mobile media. Given that much of this research has been distributed across interdisciplinary lines and from many different theoretical perspectives, this piece identifies some early lines of media, communication, and social science research into AR and identifies key themes and areas of focus: AR users/nonusers, AR devices, AR content, and AR industry. By organizing these lines of research, this manuscript serves as a call for specific future areas of research, suggests new approaches that researchers could take to explore interrelationships between these areas, and advocates for the necessity of research that examines different levels (micro/meso/macro) of analysis within AR. The goal of this piece is to advance a framework that informs and motivates mobile scholars to consider and integrate AR into their research areas, at a moment where it is in the process of moving from science fiction to material reality, from blueprint to prototype, and from laboratory to homes, cars, workplaces, and pockets.

Usefulness of Netnography in the Digital Banking Context

2022 ◽  
pp. 280-294
Author(s):  
Irina Dimitrova ◽  
Peter Öhman
Keyword(s):  
Data Analysis ◽  
Data Collection ◽  
Social Science ◽  
Real Time ◽  
Research Method ◽  
Social Science Research ◽  
Science Research ◽  
Customer Feedback ◽  
Research Areas ◽  
Financial Research

This chapter discusses the usefulness of netnography as a research method in the digital banking context. Netnography has become a relative attractive data collection and data analysis method in some social science research areas but is still relatively unknown in financial research. Compared with other research methods, netnography seems to have some advantages in the digital banking world, such as real-time customer feedback. Moreover, virtual observations can be used not only by researchers but also by bank representatives to, for example, find out how bank customers can contribute to value co-creation.

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