scholarly journals Using Social Media Data Aggregators to Do Social Research

2012 ◽  
Vol 17 (3) ◽  
pp. 91-102 ◽  
Author(s):  
David Beer
Keyword(s):  
Social Sciences ◽  
Social Media ◽  
Social Science ◽  
Social Research ◽  
Analysis Software ◽  
Social Media Data ◽  
Product Data ◽  
The Social ◽  
Critical Social Science ◽  
Media Data

This article asks if it is possible to use commercial data analysis software and digital by-product data to do critical social science. In response this article introduces social media data aggregator software to a social science audience. The article explores how this particular software can be used to do social research. It uses some specific examples in order to elaborate upon the potential of the software and the type of insights it can be used to generate. The aim of the article is to show how digital by-product data can be used to see the social in alternative ways, it explores how this commercial software might enable us to find patterns amongst ‘monumentally detailed data’. As such is responds to Andrew Abbott's as yet unresolved eleven year old reflections on the crucial challenges that face the social sciences in a data rich era.

scholarly journals Pengaruh Daya Tarik Iklan di Media Sosial Instagram terhadap Minat Beli Konsumen (Survei Terhadap Produk Sepatu Brodo di Kalangan Anak Muda Jakarta Barat)

Prologia ◽  
2021 ◽  
Vol 5 (1) ◽  
pp. 60
Author(s):  
Hendy Suryawijaya ◽  
Farid Rusdi
Keyword(s):  
Social Sciences ◽  
Social Media ◽  
Survey Methods ◽  
Positive Influence ◽  
Primary Data ◽  
Observation Unit ◽  
The West ◽  
Social Media Data ◽  
The Social ◽  
Media Data

The attractiveness of advertising can be assumed as something that moves people, talks about their wants or needs, and arouses their interest. The attractiveness of advertising is very important because it will increase the success of communication with consumers. An ad with a high ad appeal can create consumer buying interest towards a brand. buying interest is an impulse in a person to pay attention without coercion on a product and lead to a purchase. This study aims to measure the effect of the attractiveness of advertising on social media on consumer buying interest. This study uses quantitative techniques with survey methods and uses Brodo as an observation unit. Primary data was collected through distributing questionnaires to 105 young respondents in the West Jakarta area who had seen or known Brodo shoes advertisements in the form of posts or stories on Instagram social media. Data analysis uses Statistical Package for the Social Sciences with SPSS for Windows 17 application. Based on the results of the study, it is known that there is a positive influence between the attractiveness of advertising on social media on consumer buying interest in products from Brodo shoes. The attractiveness of advertising has an influence of 66.6% on buying interest. If the attractiveness of advertisements increases, consumers' buying orders will also increase. Conversely, if the attractiveness of advertising decreases, consumers' buying orders will also decrease.Iklan memiliki daya tarik. Melalui iklan orang dapat “tergerak” untuk berbicara baik tentang keinginan maupun kebutuhan mereka, dan pada akhirnya membangun ketertarikan terhadap produk tertentu. Daya tarik iklan dinilai penting karena dapat menghasilkan komunikasi yang sukses dengan konsumen. Suatu iklan dengan daya tarik iklan yang tinggi dapat menciptakan minat beli konsumen terhadap suatu merek. minat beli merupakan dorongan dalam diri seseorang untuk menaruh perhatian tanpa paksaan pada suatu produk dan berujung pada pembelian. Penelitian ini bertujuan untuk mengukur pengaruh daya tarik iklan di media sosial terhadap minat beli konsumen. Teknik yang digunakan dalam penelitian adalah kuantitatif tepatnya metode survey, dan menggunakan Brodo sebagai unit observasi. Data penelitian didapat dengan membagikan kuesioner kepada 105 responden anak muda di daerah Jakarta Barat yang pernah melihat atau mengetahui iklan sepatu Brodo baik dalam bentuk postingan atau story di media sosial Instagram. Analisis data menggunakan Statistical Package for the Social Sciences dengan aplikasi SPSS for windows 17. Berdasarkan hasil penelitian, diketahui bahwa ada pengaruh yang positif antara daya tarik iklan di media sosial terhadap minat beli konsumen terhadap produk dari sepatu Brodo. Daya tarik iklan berpengaruh terhadap minat beli sebesar 66,6%. Artinya, jika daya tarik iklan meningkat maka mendorong meningkatnya niat beli konsumen. Sebaliknya, jika daya tarik iklan menurun maka mendorong turunnya minat beli konsumen.

The Edwards' Report and the International Relations profession

1988 ◽  
Vol 14 (2) ◽  
pp. 149-152 ◽  
Author(s):  
Michael Nicholson
Keyword(s):  
Social Sciences ◽  
Social Science ◽  
International Relations ◽  
Research Council ◽  
Social Research ◽  
Future Research ◽  
Social Scientists ◽  
Social Science Community ◽  
The Social ◽  
Science Community

The Economic and Social Research Council recently published a Report commissioned from a committee chaired by Professor Edwards, a psychiatrist, so that the Council, and the social science community in general, might know what was good and bad in British social sciences, and where the promising future research opportunities lie over the next decade. Boldly called ‘Horizons and Opportunities in the Social Sciences’, the Report condensed the wisdom of social scientists, both British and foreign, and concludes with a broadly but not uncritically favourable picture of the British scene.

scholarly journals Using social media data to map the areas most affected by ISIS in Syria

2020 ◽  
Vol 26 (1) ◽  
pp. 464-470
Author(s):  
Mohamad Hasan
Keyword(s):  
Social Media ◽  
Language Processing ◽  
Geographical Information ◽  
Data Mapping ◽  
Islamic State ◽  
Social Media Data ◽  
The Social ◽  
Mapping Process ◽  
Data Source ◽  
Media Data

This paper presents a model to collect, save, geocode, and analyze social media data. The model is used to collect and process the social media data concerned with the ISIS terrorist group (the Islamic State in Iraq and Syria), and to map the areas in Syria most affected by ISIS accordingly to the social media data. Mapping process is assumed automated compilation of a density map for the geocoded tweets. Data mined from social media (e.g., Twitter and Facebook) is recognized as dynamic and easily accessible resources that can be used as a data source in spatial analysis and geographical information system. Social media data can be represented as a topic data and geocoding data basing on the text of the mined from social media and processed using Natural Language Processing (NLP) methods. NLP is a subdomain of artificial intelligence concerned with the programming computers to analyze natural human language and texts. NLP allows identifying words used as an initial data by developed geocoding algorithm. In this study, identifying the needed words using NLP was done using two corpora. First corpus contained the names of populated places in Syria. The second corpus was composed in result of statistical analysis of the number of tweets and picking the words that have a location meaning (i.e., schools, temples, etc.). After identifying the words, the algorithm used Google Maps geocoding API in order to obtain the coordinates for posts.

Positivism in the social sciences

2018 ◽  
Author(s):  
Harold Kincaid
Keyword(s):  
Social Sciences ◽  
Social Science ◽  
Scientific Method ◽  
Quantitative Data ◽  
Social Research ◽  
A Priori ◽  
Methodological Individualism ◽  
Main Function ◽  
Social Convention ◽  
The Social

Positivism originated from separate movements in nineteenth-century social science and early twentieth-century philosophy. Key positivist ideas were that philosophy should be scientific, that metaphysical speculations are meaningless, that there is a universal and a priori scientific method, that a main function of philosophy is to analyse that method, that this basic scientific method is the same in both the natural and social sciences, that the various sciences should be reducible to physics, and that the theoretical parts of good science must be translatable into statements about observations. In the social sciences and the philosophy of the social sciences, positivism has supported the emphasis on quantitative data and precisely formulated theories, the doctrines of behaviourism, operationalism and methodological individualism, the doubts among philosophers that meaning and interpretation can be scientifically adequate, and an approach to the philosophy of social science that focuses on conceptual analysis rather than on the actual practice of social research. Influential criticisms have denied that scientific method is a priori or universal, that theories can or must be translatable into observational terms, and that reduction to physics is the way to unify the sciences. These criticisms have undercut the motivations for behaviourism and methodological individualism in the social sciences. They have also led many to conclude, somewhat implausibly, that any standards of good social science are merely matters of rhetorical persuasion and social convention.

The Social Media Macroscope: A science gateway for research using social media data

2020 ◽  
Vol 111 ◽  
pp. 819-828 ◽  
Author(s):  
Joseph T. Yun ◽  
Nickolas Vance ◽  
Chen Wang ◽  
Luigi Marini ◽  
Joseph Troy ◽  
...  
Keyword(s):  
Social Media ◽  
Social Media Data ◽  
Science Gateway ◽  
The Social ◽  
Media Data

scholarly journals Review of Data Visualization for Social Media Postings

2018 ◽  
Vol 7 (4.38) ◽  
pp. 939
Author(s):  
Nur Atiqah Sia Abdullah ◽  
Hamizah Binti Anuar
Keyword(s):  
Social Media ◽  
Data Visualization ◽  
Line Graph ◽  
Data Types ◽  
Social Media Data ◽  
Data Analyst ◽  
The Social ◽  
Social Media Platforms ◽  
Types Of Information ◽  
Media Data

Facebook and Twitter are the most popular social media platforms among netizen. People are now more aggressive to express their opinions, perceptions, and emotions through social media platforms. These massive data provide great value for the data analyst to understand patterns and emotions related to a certain issue. Mining the data needs techniques and time, therefore data visualization becomes trending in representing these types of information. This paper aims to review data visualization studies that involved data from social media postings. Past literature used node-link diagram, node-link tree, directed graph, line graph, heatmap, and stream graph to represent the data collected from the social media platforms. An analysis by comparing the social media data types, representation, and data visualization techniques is carried out based on the previous studies. This paper critically discussed the comparison and provides a suggestion for the suitability of data visualization based on the type of social media data in hand.      

Social Media to Social Media Analytics

2019 ◽  
Vol 10 (2) ◽  
pp. 57-70 ◽  
Author(s):  
Vikas Kumar ◽  
Pooja Nanda
Keyword(s):  
Social Media ◽  
Social Media Analytics ◽  
Social Media Data ◽  
Ethical Concerns ◽  
Ethical Implications ◽  
The Social ◽  
Social Media Platforms ◽  
The Individual ◽  
The Impact ◽  
Media Data

With the amplification of social media platforms, the importance of social media analytics has exponentially increased for many brands and organizations across the world. Tracking and analyzing the social media data has been contributing as a success parameter for such organizations, however, the data is being poorly harnessed. Therefore, the ethical implications of social media analytics need to be identified and explored for both the organizations and targeted users of social media data. The present work is an exploratory study to identify the various techno-ethical concerns of social media engagement, as well as social media analytics. The impact of these concerns on the individuals, organizations, and society as a whole are discussed. Ethical engagement for the most common social media platforms has been outlined with a number of specific examples to understand the prominent techno-ethical concerns. Both the individual and organizational perspectives have been taken into account to identify the implications of social media analytics.

scholarly journals Corrigendum

2018 ◽  
Vol 45 (1) ◽  
pp. 136-136
Keyword(s):  
Public Health ◽  
Social Media ◽  
Information Science ◽  
Patient Data ◽  
Online Version ◽  
Social Media Data ◽  
Medical Network ◽  
The Social ◽  
Media Data ◽  
Prior Permission

Ji X, Chun SA, Cappellari P, et al. Linking and using social media data for enhancing public health analytics. Journal of Information Science 2016; 43: 221–245. DOI: 10.1177/0165551515625029 The authors regret that non-anonymised patient data was used from a social medical network without prior permission. With permission from the social medical network, the authors have anonymised the data and corrected the article. The online version of the article has been corrected.

scholarly journals Mining social media data: How are research sponsors and researchers addressing the ethical challenges?

2017 ◽  
Vol 14 (2) ◽  
pp. 1-39 ◽  
Author(s):  
Joanna Taylor ◽  
Claudia Pagliari
Keyword(s):  
Social Media ◽  
Health Research ◽  
Social Research ◽  
International Association ◽  
Academic Community ◽  
Ethical Challenges ◽  
Ethical Considerations ◽  
Social Media Data ◽  
Ethics Guidelines ◽  
Media Data

Background: Data representing people’s behaviour, attitudes, feelings and relationships are increasingly being harvested from social media platforms and re-used for research purposes. This can be ethically problematic, even where such data exist in the public domain. We set out to explore how the academic community is addressing these challenges by analysing a national corpus of research ethics guidelines and published studies in one interdisciplinary research area. Methods: Ethics guidelines published by Research Councils UK (RCUK), its seven-member councils and guidelines cited within these were reviewed. Guidelines referring to social media were classified according to published typologies of social media research uses and ethical considerations for social media mining. Using health research as an exemplar, PubMed was searched to identify studies using social media data, which were assessed according to their coverage of ethical considerations and guidelines. Results: Of the 13 guidelines published or recommended by RCUK, only those from the Economic and Social Research Council, the British Psychological Society, the International Association of Internet Researchers and the National Institute for Health Research explicitly mentioned the use of social media. Regarding data re-use, all four mentioned privacy issues but varied with respect to other ethical considerations. The PubMed search revealed 156 health-related studies involving social media data, only 50 of which mentioned ethical concepts, in most cases simply stating that they had obtained ethical approval or that no consent was required. Of the nine studies originating from UK institutions, only two referred to RCUK ethics guidelines or guidelines cited within these. Conclusions: Our findings point to a deficit in ethical guidance for research involving data extracted from social media. Given the growth of studies using these new forms of data, there is a pressing need to raise awareness of their ethical challenges and provide actionable recommendations for ethical research practice.

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