scholarly journals Affective economy of national-populist images: Investigating national and transnational online networks through visual big data

2019 ◽  
Vol 22 (5) ◽  
pp. 770-792
Author(s):  
Jenni Hokka ◽  
Matti Nelimarkka
Keyword(s):  
Social Media ◽  
Big Data ◽  
Quantitative Methods ◽  
Social Science Research ◽  
Historical Analysis ◽  
Science Research ◽  
Online Networks ◽  
Qualitative And Quantitative Methods ◽  
Computational Data

In our article, we investigate the affective economy of national-populist image circulation on Facebook. This is highly relevant, since social media has been an essential area for the spread of national-populist ideology. In our research, we analyse image circulation as affective practice, combining qualitative and quantitative methods. We use computational data analysis methods to examine visual big data: image fingerprints and reverse image search engines to track down the routes of thousands of circulated images as well as make discourse-historical analysis on the images that have gained most attention among supporters. Our research demonstrates that these existing tools allow social science research to make theory-solid approaches to understand the role of image circulation in creating and sustaining national and transnational networks on social media, and show how national-populist thinking is spread through images that catalyse and mobilise affects – fear, anger and resentment – thus creating an effective affective economy.

scholarly journals The role of administrative data in the big data revolution in social science research

2016 ◽  
Vol 59 ◽  
pp. 1-12 ◽  
Author(s):  
Roxanne Connelly ◽  
Christopher J. Playford ◽  
Vernon Gayle ◽  
Chris Dibben
Keyword(s):  
Big Data ◽  
Social Science ◽  
Administrative Data ◽  
Social Science Research ◽  
Science Research

UNDERSTANDING RESEARCH PARADIGMS: TRENDS IN SCIENCE EDUCATION RESEARCH

2012 ◽  
Vol 43 (1) ◽  
pp. 110-118
Author(s):  
Sebastian Szyjka
Keyword(s):  
Science Education ◽  
Education Research ◽  
Quantitative Research ◽  
Quantitative Methods ◽  
Social Science Research ◽  
Science Research ◽  
Science Education Research ◽  
Collective Interest ◽  
Qualitative And Quantitative Methods ◽  
The Masses

This essay offers several insights regarding the principles of qualitative and quantitative methods, defining how they shape the empirical process as well as knowledge acquisition in social science research. A comprehensive discussion includes comparing the assumptions and techniques of each paradigm, as well as a description of their respective strengths and weaknesses in research. These paradigms are examined in terms of past trends in science education research, indicating that over the last several decades a shift in approach from the quantitative to qualitative has occurred. The central thesis of the essay contends that methodological decisions should be based in pragmatism, rather than a pre-existent set of philosophies or beliefs irrespective of context. Implications for research are discussed in terms of the findings of several science education content analysis studies, conveying that research methods often coincide with the collective interest of the masses, policy, educational reform or program developments. Key words: paradigm decisions, qualitative research, quantitative research, science education, trends.

scholarly journals Empowering Social Science Research in the Big-Data Era: Addressing Quantyphobia in IR Researches

2019 ◽  
Vol 2 (2) ◽  
pp. 259
Author(s):  
Farizal Mohd Razalli
Keyword(s):  
Big Data ◽  
Quantitative Methods ◽  
International Politics ◽  
Research Output ◽  
Social Science Research ◽  
Science Research ◽  
Global Changes ◽  
Intellectual Community ◽  
Mechanical Field ◽  
Research Outcome

This paper tries to explore the employment of quantitative approach in political researches focusing on international relations (IR) or international politics. A debate emerged in the90s on whether IR or the field of international politics should be driven by quantitative(positivistic) approach at the expense of qualitative (interpretivist) approach. The debate then expanded to explicitly argue for an increased use of formal methods that are mathematically-based to study IR phenomena. It triggered then a quick reaction fromhardcore IR specialists who warned against mathematizing IR for fear of turning the field into a mechanical field that crunches numbers. Such a fear is further substantiated by theobservation that many quantitative works in IR have moved farther away from developing theory to testing hypotheses. Some scholars have even suggested that it is epistemologicallyrealism vs. instrumentalism; something that is unsurprising given the dominance of realism inIR for many years. This paper does not suggest that heavy emphasis on qualitative approach leads to a inferior research output. However, it does suggest an transformative incapability among IR scholars to accommodate to contemporary global changes. The big-data analyticshave affected the intellectual community of late with the influx of data. These data are bothqualitative and quantitative. Nonetheless, analyzing them requires one to be familiar with quantitative methods lest one risks not being able to offer a research outcome that is not only sound in its argumentation but also robust in its analytical logic. Furthermore, with so much data on the social media, it is almost unthinkable for meaningful interpretation tobe made without even the simplest descriptive statistical methods. The key findings revealthat in ensuring its relevance, international political researches have to start adapting to the contemporary changes by building new capability apart from upscaling existing capacity.

Teaching stats: A crisis in Irish sociology?

2015 ◽  
Vol 24 (1) ◽  
pp. 102-111
Author(s):  
Carmel Hannan
Keyword(s):  
Big Data ◽  
Social Science ◽  
Mixed Methods Research ◽  
Quantitative Methods ◽  
Social Science Research ◽  
Science Research ◽  
Undergraduate Level ◽  
Sociology Departments ◽  
The Uk ◽  
Research Councils

There is now a lack of quantitative capacity among practitioners and teachers in sociology in Ireland. Yet interest in the value of quantitative methods among governments, funding organisations and society in general are on the increase. Social science research councils and funders in other countries, notably the UK, have realised there is a problem and are now attempting to remedy this through increased funding for the recruitment of quantitatively trained academics for example, Q-Step. The paper examines a number of developments notably Big Data, increases in transdisciplinary research and developments in mixed methods research which, it is argued, underline the need for more and better quantitative methods teaching in sociology. The paper calls for sociology departments to re-think their curricula and actively promote the teaching of a range of methods at the undergraduate level.

scholarly journals Digital platforms and Big Data in art education

2021 ◽  
Vol 5 (S3) ◽  
pp. 197-207
Author(s):  
Kseniia Prykhod’ko ◽  
Olena Khil ◽  
Olena Pobirchenko ◽  
Oksana Umrykhina ◽  
Vira Kalabska
Keyword(s):  
Big Data ◽  
Art Education ◽  
Quantitative Methods ◽  
Educational Process ◽  
Digital Platforms ◽  
Qualitative And Quantitative Methods ◽  
Educational Role ◽  
Data Collection And Analysis

The Big Data and digital platforms in art education play an important role, especially in the field of optimizing educational intelligence, determining the results of research and learning activities, helping to optimize and improve management systems, contributing to the quality of education, image positions. This is what determined the relevance of the problems investigated in the article. The paper presents a description and analysis of the benefits of implementation and features of the use of digital platforms and Big Data in the sector of art education. The article aims to establish the components and content components of Big Data and the educational role of digital platforms used in art education, as well as identifying the attitudes of participants in the educational process on the active use of Big Data and digital platforms. The methods in the study are based on a comprehensive approach, used descriptive methods, qualitative and quantitative methods of analysis. To obtain the data the method of questioning was used, the study of literature, data collection, and analysis, formation of conclusions. 

scholarly journals Potential Biases in Big Data: Omitted Voices on Social Media

2018 ◽  
Vol 38 (1) ◽  
pp. 10-24 ◽  
Author(s):  
Eszter Hargittai
Keyword(s):  
Social Media ◽  
Big Data ◽  
Social Science Research ◽  
Science Research ◽  
National Sample ◽  
Sociodemographic Factors ◽  
User Characteristics ◽  
Business Interests ◽  
Internet Skills ◽  
Social Media Platforms

While big data offer exciting opportunities to address questions about social behavior, studies must not abandon traditionally important considerations of social science research such as data representativeness and sampling biases. Many big data studies rely on traces of people’s behavior on social media platforms such as opinions expressed through Twitter posts. How representative are such data? Whose voices are most likely to show up on such sites? Analyzing survey data about a national sample of American adults’ social network site usage, this article examines what user characteristics are associated with the adoption of such sites. Findings suggest that several sociodemographic factors relate to who adopts such sites. Those of higher socioeconomic status are more likely to be on several platforms suggesting that big data derived from social media tend to oversample the views of more privileged people. Additionally, Internet skills are related to using such sites, again showing that opinions visible on these sites do not represent all types of people equally. The article cautions against relying on content from such sites as the sole basis of data to avoid disproportionately ignoring the perspectives of the less privileged. Whether business interests or policy considerations, it is important that decisions that concern the whole population are not based on the results of analyses that favor the opinions of those who are already better off.

Students as Subjects and Scholars: Qualquant Tools in the Classroom

2008 ◽  
Vol 30 (1) ◽  
pp. 31-35
Author(s):  
Emily Stovel
Keyword(s):  
Research Methods ◽  
Quantitative Methods ◽  
Cultural Anthropology ◽  
Social Science Research ◽  
Science Research ◽  
Free List ◽  
Qualitative And Quantitative Methods ◽  
Resultant Data ◽  
Wide Range ◽  
Short Courses

My experience attending two NSF Short Courses on Research Methods in Cultural Anthropology prompted me to use free list and pile sorting activities as teaching exercises with interesting and informative results that could be useful for others grappling with teaching research methods to undergraduates. My immediate goal in attending the course was inform my teaching of anthropological research methods. However, I also gained a new pedagogical tool that I have implemented in a wide range of classes to help students experience and understand the various qualitative and quantitative methods undertaken in social science research, while also redirecting their role as passive students to active scholars. The following paper outlines the implementation of this Museum Studies' free list and pile sorting exercises, considers the resultant data and impact on students in their own words, and provides some caveats for future implementation.

Factor Analysis among the variables relating to purpose of using social media websites and nonacceptance of social media in recruitment

2020 ◽  
pp. 245-248
Keyword(s):  
Social Media ◽  
Factor Analysis ◽  
Social Science Research ◽  
Cost Effective ◽  
Science Research ◽  
Recruitment Strategies ◽  
Job Seeking ◽  
Hiring Process ◽  
To Come ◽  
New Strategies

In the era of Globalization, advancement of technology and stiff competition, particularly, in the I.T. Industry, companies have to adopt new H.R. strategies and practices so as to constantly evolve and grow. In this context, existing recruitment strategies have to be replaced by new strategies. Many companies are now extensively depending on the internet to connect to larger audiences globally. Organizations are in a position to attract profiles, resumes from potential candidates by announcing their vacancies on their own websites. E-recruitment is evoking interest among the companies typically over the last few years. The spread of information technology and growth of Internet has paved way for companies willing to hunt for talent on the job seeking websites. In the years to come, social networking will soon be an indispensable part of the hiring process. It is cost effective, does not require setting up an office and forms an effective tool for recruiters. The main purpose of this study was to understand the application of factor analysis in social science research and to reduce a large number of variables into manageable smaller factors for further analysis of the employers’ perception on social media recruitment with reference to the I.T. Sector in Bangalore.

How much would you like to pay? Trust, reciprocity and prosocial motivations in El trato

2012 ◽  
Vol 51 (3) ◽  
pp. 389-417 ◽  
Author(s):  
Francisco J León ◽  
José A Noguera ◽  
Jordi Tena-Sánchez
Keyword(s):  
Social Science ◽  
External Validity ◽  
Laboratory Experiments ◽  
Social Science Research ◽  
Science Research ◽  
Trust Game ◽  
Sales Strategy ◽  
Pay What You Want ◽  
Natural Settings

Prosocial motivations and reciprocity are becoming increasingly important in social-science research. While laboratory experiments have challenged the assumption of universal selfishness, the external validity of these results has not been sufficiently tested in natural settings. In this article we examine the role of prosocial motivations and reciprocity in a Pay What You Want (PWYW) sales strategy, in which consumers voluntarily decide how much to pay for a product or service. This article empirically analyses the only PWYW example in Spain to date: the El trato (‘The deal’) campaign launched by the travel company Atrápalo, which offered different holiday packages under PWYW conditions in July 2009. Our analysis shows that, although the majority of the customers did not behave in a purely self-interested manner, they nonetheless did so in a much higher proportion than observed in similar studies. We present different hypotheses about the mechanisms that may explain these findings. Specifically, we highlight the role of two plausible explanations: the framing of the campaign and the attribution of ‘hidden’ preferences to Atrápalo by its customers, which undermined the interpretation of El trato as a trust game.

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