scholarly journals Big data - a big deal for sociology?

Sociologija ◽  
2018 ◽  
Vol 60 (3) ◽  
pp. 557-582
Author(s):  
Jelisaveta Petrovic
Keyword(s):  
Social Sciences ◽  
Big Data ◽  
Data Analytics ◽  
Technological Development ◽  
Big Data Analytics ◽  
Ministry Of Education ◽  
Thomson Reuters ◽  
The Social ◽  
Scientific Papers ◽  
Education Science

The paper critically examines the attitude of the mainstream sociology towards the study of big data in social sciences. Content analysis of the scientific papers published in the top-tier sociological journals ranked on the Thomson Reuters Impact Factor ssci list (2000-2017) shows that, in the observed period, the issue of big data was largely neglected. This topic is still rather invisible in the mainstream sociological thought, although it draws a lot of attention outside the academia. The analysis of big data within mainstream sociology is dominated by a critical perspective, while the application of the big data analytics is quite rare. In the concluding section, the importance of the big data study for sociology is emphasised. Moreover, it is pointed out at the risk of auto-marginalization in case of neglecting the ?tectonic? changes induced by the big data analytics in the space once dominated by the social sciences. [Project of the Serbian Ministry of Education, Science and Technological Development, Grant no. 179035: Izazovi nove drustvene integracije u Srbiji: koncepti i akteri]

Big Data

2021 ◽  
pp. 26-29
Author(s):  
Yannick Dufresne ◽  
Brittany I. Davidson
Keyword(s):  
Social Sciences ◽  
Social Media ◽  
Big Data ◽  
Online Communities ◽  
Data Analytics ◽  
Big Data Analytics ◽  
Data Sets ◽  
The Social ◽  
Data Volume ◽  
The Web

This chapter assesses big data. Within the social sciences, big data could refer to an emerging field of research that brings together academics from a variety of disciplines using and developing tools to widen perspective, to utilize latent data sets, as well as for the generation of new data. Another way to define big data in the social sciences refers to data corresponding to at least one of the three s of big data: volume, variety, or velocity.. These characteristics are widely used by researchers attempting to define and distinguish new types of data from conventional ones. However, there are a number of ethical and consent issues with big data analytics. For example, many studies across the social sciences utilize big data from the web, from social media, online communities, and the darknet, where there is a question as to whether users provided consent to the reuse of their posts, profiles, or other data shared when they signed up, knowing their profiles and information would be public. This has led to a number of issues regarding algorithms making decisions that cannot be explained. The chapter then considers the opportunities and pitfalls that come along with big data.

PSYCHOLOGY IN THE WORLD OF SCIENCE - 16th Days of Applied Psychology

2021 ◽  
Author(s):  
Grupa Autora
Keyword(s):  
Bosnia And Herzegovina ◽  
Technological Development ◽  
Scientific Publication ◽  
Applied Psychology ◽  
Ministry Of Education ◽  
International Conference ◽  
The World ◽  
Scientific Papers ◽  
The Republic ◽  
Education Science

The International Thematic Proceedia titled „Psychology in the world of science” is a publication from the 16th International Conference “Days of Applied Psychology” held on September 25th & 26th 2020 at the Faculty of Philosophy, University of Niš. This is a traditional annual nonprofit conference which has been organized since 2005 by the Department of Psychology of the Faculty of Philosophy, University of Niš, with the support and co-financing of the Ministry of Education, Science and Technological Development of the Republic of Serbia. The conference started with the idea of gathering researchers and practitioners who discuss the link between science and practice in different psychological areas. From the very start, this gathering has welcomed international participants, and year after year this number is on the rise. This scientific publication contains 18 peer-reviewed articles which can be classified as original scientific papers and as review papers. The authors of these manuscripts come from six countries: Portugal, Bosnia and Herzegovina, Slovenia, Bulgaria, Turkey, and Republic of Serbia.

scholarly journals Conceptual frameworks for social and cultural Big Data analytics: Answering the epistemological challenge

2019 ◽  
Vol 6 (1) ◽  
pp. 205395171882381 ◽  
Author(s):  
Lucy Resnyansky
Keyword(s):  
Big Data ◽  
Data Analytics ◽  
Big Data Analytics ◽  
Task Demands ◽  
Digital Data ◽  
Conceptual Frameworks ◽  
Social Scientists ◽  
The Social ◽  
Epistemological Challenge ◽  
Social Scientific

This paper aims to contribute to the development of tools to support an analysis of Big Data as manifestations of social processes and human behaviour. Such a task demands both an understanding of the epistemological challenge posed by the Big Data phenomenon and a critical assessment of the offers and promises coming from the area of Big Data analytics. This paper draws upon the critical social and data scientists’ view on Big Data as an epistemological challenge that stems not only from the sheer volume of digital data but, predominantly, from the proliferation of the narrow-technological and the positivist views on data. Adoption of the social-scientific epistemological stance presupposes that digital data was conceptualised as manifestations of the social. In order to answer the epistemological challenge, social scientists need to extend the repertoire of social scientific theories and conceptual frameworks that may inform the analysis of the social in the age of Big Data. However, an ‘epistemological revolution’ discourse on Big Data may hinder the integration of the social scientific knowledge into the Big Data analytics.

PSYCHOLOGICAL RESEARCH AND PRACTICE

2020 ◽  
Keyword(s):  
Educational Psychology ◽  
Technological Development ◽  
Scientific Publication ◽  
Psychological Research ◽  
Applied Psychology ◽  
Ministry Of Education ◽  
Research And Practice ◽  
Scientific Papers ◽  
The Republic ◽  
Education Science

The International Thematic Proceedia titled „Psychological research and practice” is a publication from the 15th International Conference “Days of Applied Psychology” held on September 27th & 28th 2019 at the Faculty of Philosophy, University of Niš. This is a traditional annual nonprofit conference which has been organized since 2005 by the Department of Psychology of the Faculty of Philosophy, University of Niš, with the support and co-financing of the Ministry of Education, Science and Technological Development of the Republic of Serbia. The conference started with the idea of gathering researchers and practitioners who discuss the link between science and practice in different psychological areas. From the very start, this gathering has welcomed international participants, and year after year this number is on the rise. This scientific publication contains 18 reviewed articles which can be classified as original scientific papers. The authors of these manuscripts come from five countries: Italy, Slovakia, Bulgaria, Bosnia and Herzegovina, and the Republic of Serbia. Papers belong to the different areas of psychology, reflecting the scope of interest of the authors as well as the topic of the conference. This publication is organized into the following thematic sections: 1) Plenary lecture; 2) Developmental and Educational psychology 3) Social Psychology; 4) Psychology of Personality and Individual Differences and Psychological Measurement; 5) Clinical and Health Psychology; 6) Organizational and Marketing Psychology, and 7) Symposium: Understanding sexual related behavior in students: Personality, emotions and attitudes.

scholarly journals Human Behavior Analysis Using Intelligent Big Data Analytics

2021 ◽  
Vol 12 ◽  
Author(s):  
Muhammad Usman Tariq ◽  
Muhammad Babar ◽  
Marc Poulin ◽  
Akmal Saeed Khattak ◽  
Mohammad Dahman Alshehri ◽  
...  
Keyword(s):  
Social Media ◽  
Big Data ◽  
Human Behavior ◽  
Data Analytics ◽  
Data Science ◽  
Big Data Analytics ◽  
Apache Spark ◽  
Social Media Data ◽  
The Social ◽  
Media Data

Intelligent big data analysis is an evolving pattern in the age of big data science and artificial intelligence (AI). Analysis of organized data has been very successful, but analyzing human behavior using social media data becomes challenging. The social media data comprises a vast and unstructured format of data sources that can include likes, comments, tweets, shares, and views. Data analytics of social media data became a challenging task for companies, such as Dailymotion, that have billions of daily users and vast numbers of comments, likes, and views. Social media data is created in a significant amount and at a tremendous pace. There is a very high volume to store, sort, process, and carefully study the data for making possible decisions. This article proposes an architecture using a big data analytics mechanism to efficiently and logically process the huge social media datasets. The proposed architecture is composed of three layers. The main objective of the project is to demonstrate Apache Spark parallel processing and distributed framework technologies with other storage and processing mechanisms. The social media data generated from Dailymotion is used in this article to demonstrate the benefits of this architecture. The project utilized the application programming interface (API) of Dailymotion, allowing it to incorporate functions suitable to fetch and view information. The API key is generated to fetch information of public channel data in the form of text files. Hive storage machinist is utilized with Apache Spark for efficient data processing. The effectiveness of the proposed architecture is also highlighted.

scholarly journals Big Data Analytics: A New Flavour for Educational Industry

2019 ◽  
Vol 8 (S3) ◽  
pp. 63-65
Author(s):  
S. K. SathyaHari Prasad ◽  
P. Bhavya ◽  
M. Kalpana Devi
Keyword(s):  
Big Data ◽  
Data Analytics ◽  
Technological Development ◽  
Big Data Analytics ◽  
Educational Institutions ◽  
Academic Institutions

Mushrooming of educational institutions in recent times has led to cut throat competition and the success of an institution has become necessary. The technological development has increased the availability of information. Big data analytics has made a rapid advancement and gained a huge momentum in recent years, which feeds into the field of academic institutions to better understand the learner’s needs and address them appropriately. Hence, it is important to have an understanding of Big Data and its applications in the educational industry. The purpose of this descriptive paper is to provide an overview of Big Data, some of the benefits and challenges of big data in the field of education. Though Big Data can provide big benefits, it is the institutions to understand their own needs and act according to their infrastructure and resources.

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