scholarly journals Dialoguing with Data and Data Reduction: An Observational, Narrowing-Down Approach to Social Media Network Analysis

2021 ◽  
Vol 2 (1) ◽  
pp. 14-29
Author(s):  
Jingrong Tong ◽  
Landong Zuo
Keyword(s):  
Social Media ◽  
Large Scale ◽  
Human Subjects ◽  
Computational Algorithms ◽  
Human Relationships ◽  
Social Media Networks ◽  
Large Scale Data ◽  
Social Media Network ◽  
Scale Data

In this article, we propose an observational, narrowing-down approach to analysing social media networks and developing research design by the joint use of computational algorithms and researchers’ inductive exploration and interpretive explanations. The Brexit referendum on Twitter study is used to illustrate how we applied this approach in practice. In this study, observation helped us combine the strengths of computational statistical analysis and modelling and of inductive inquiries. Computational algorithms and tools including Elasticsearch, Kibana and Gephi provided us with an “ethnographic field” where we were able to inductively observe the relationships among users and to reduce the amount of data down to a level in which we could intuitively understand these relationships. In traditional observational studies, talking to human subjects and observing their interactions in a research site are important to ethnographers. Likewise, it is useful for social science researchers to dialogue with data, observe human relationships embodied in the data and reconstructed by computational tools, and understand these relationships through closely examining a small batch of meaningful data that is extracted from large-scale data. In this case study, adopting the proposed approach, we found the importance of political disagreement leading to a tale of two politicians, in which pro-Brexit users denounced @David_Cameron but legitimised @Nigel_Farage.

Exploration of Tourist Activities in Urban Destination Using Venue Check-In Data

2019 ◽  
Vol 44 (3) ◽  
pp. 472-498
Author(s):  
Huy Quan Vu ◽  
Jian Ming Luo ◽  
Gang Li ◽  
Rob Law
Keyword(s):  
Data Collection ◽  
Large Scale ◽  
Traditional Approach ◽  
Urban Tourism ◽  
Data Set ◽  
Tourism Marketing ◽  
Large Scale Data ◽  
New Type ◽  
Scale Data

Understanding the differences and similarities in the activities of tourists from various cultures is important for tourism managers to develop appropriate plans and strategies that could support urban tourism marketing and managements. However, tourism managers still face challenges in obtaining such understanding because the traditional approach of data collection, which relies on survey and questionnaires, is incapable of capturing tourist activities at a large scale. In this article, we present a method for the study of tourist activities based on a new type of data, venue check-ins. The effectiveness of the presented approach is demonstrated through a case study of a major tourism country, France. Analysis based on a large-scale data set from 19 tourism cities in France reveals interesting differences and similarities in the activities of tourists from 14 markets (countries). Valuable insights are provided for various urban tourism applications.

Thinking in multitudes: Questionnaires and composite cases in early American psychology

2020 ◽  
Vol 33 (3-4) ◽  
pp. 160-174 ◽  
Author(s):  
Jacy L. Young
Keyword(s):  
Scientific Reasoning ◽  
Large Scale ◽  
Individual Case ◽  
Early American ◽  
Large Scale Data ◽  
American Psychology ◽  
Questionnaire Research ◽  
The Individual ◽  
Scale Data

In the late 19th century, the questionnaire was one means of taking the case study into the multitudes. This article engages with Forrester’s idea of thinking in cases as a means of interrogating questionnaire-based research in early American psychology. Questionnaire research was explicitly framed by psychologists as a practice involving both natural historical and statistical forms of scientific reasoning. At the same time, questionnaire projects failed to successfully enact the latter aspiration in terms of synthesizing masses of collected data into a coherent whole. Difficulties in managing the scores of descriptive information questionnaires generated ensured the continuing presence of individuals in the results of this research, as the individual case was excerpted and discussed alongside a cast of others. As a consequence, questionnaire research embodied an amalgam of case, natural historical, and statistical thinking. Ultimately, large-scale data collection undertaken with questionnaires failed in its aim to construct composite exemplars or ‘types’ of particular kinds of individuals; to produce the singular from the multitudes.

scholarly journals DNA Transnational Data Journeys and the Construction of Categories of Suspicion

2020 ◽  
Vol 45 (1) ◽  
Author(s):  
Helena Machado ◽  
Rafaela Granja
Keyword(s):  
Large Scale ◽  
National Level ◽  
Societal Implications ◽  
Large Scale Data ◽  
Nous Montrons ◽  
Nous Examinons ◽  
Scale Data ◽  
Shape Data ◽  
The Eu

Background  Systems for large-scale data exchanges are playing a pivotal role in the governance, surveillance, and social control of criminality in different parts of the world.Analysis  This article explores the case study of the Prüm system, which is a technological system for the exchange of DNA data among several European Union (EU) countries. Making use of the concept of data journeys, it addresses how the transnational exchange of DNA data in the EU implicates the construction of categories of suspicion.Conclusion and implications The article shows how supranational- and national-level notions and attitudes over the ownership of data shape data journeys, and it discusses the societal implications of datafication and emerging data justice issues.Contexte Les systèmes d’échange de données à grande échelle jouent un rôle central dans la gouvernance, la surveillance et le contrôle social de la criminalité dans différentes régions du monde. Analyse  Dans cet article, nous prenons l’étude de cas du système Prüm, qui est un système technologique permettant l’échange de données d’ADN entre plusieurs pays de l’Union européenne (UE). En utilisant le concept de trajets de données, nous examinons comment l’échange transnational de données d’ADN dans l’UE implique la construction de catégories de suspicion. Conclusion et implications  Nous montrons comment les trajets de données sont façonnés par des notions et attitudes supranationales et nationales sur la propriété des données et discutons des implications sociétales de la communication des données et des nouveaux problèmes émergents de justice des données.

Online celebrity discourses on Facebook

2020 ◽  
Vol 8 (3) ◽  
pp. 305-319 ◽  
Author(s):  
Dániel Hegedűs
Keyword(s):  
Social Media ◽  
Large Scale ◽  
Modern Society ◽  
Large Scale Data ◽  
Cognitive Patterns ◽  
Social Media Platforms ◽  
Altered Form ◽  
The Individual ◽  
Facebook Pages ◽  
Scale Data

The web 2.0 phenomenon and social media – without question – have reshaped our everyday experiences. These changes that they have generated affect how we consume, communicate and present ourselves, just to name a few aspects of life, and moreover, opened up new perspectives for sociology. Though many social practices persist in a somewhat altered form, brand new types of entities have emerged on different social media platforms: one of them is the video blogger. These actors have gained great visibility through so-called micro-celebrity practices and have become potential large-scale distributors of ideas, values and knowledge. Celebrities, in this case micro-celebrities (video bloggers), may disseminate such cognitive patterns through their constructed discourse which is objectified in the online space through a peculiar digital face (a social media profile) where fans can react, share and comment according to the affordances of the digital space. Most importantly, all of these interactions are accessible for scholars to examine the fan and celebrity practices of our era. This research attempts to reconstruct these discursive interactions on the Facebook pages of ten top Hungarian video bloggers. All findings are based on a large-scale data collection using the Netvizz application. As part of the interpretation of the results, a further consideration was that celebrity discourses may be a sort of disciplinary force in (post)modern society, which normalizes the individual to some extent by providing adequate schemas of attitude, mentality and ways of consumption.

Immersive Media, Scientific Visualization, and Global Umwelt

2020 ◽  
pp. 416-429
Author(s):  
Julieta Cristina Aguilera
Keyword(s):  
Climate Change ◽  
Human Body ◽  
Large Scale ◽  
Scientific Visualization ◽  
Human Interactions ◽  
Large Scale Data ◽  
Sensory Motor ◽  
Scale Data ◽  
Immersive Media

This chapter deals with the global implications of immersive media: First, it considers how the concept of the umwelt can be used to address the extension of sensory motor capabilities of the human body. Next, it discusses what the implications are when the concept of the human umwelt is applied to scientific visualization in astronomy, which scales space and time to present data. Then, these scientific visualizations are discussed in the context of planetarium domes and what it means to collectively experience an immersive environment based on large scale data. As a case study, the final section articulates what this entails for the understanding of the effects of collective human interactions with our planetary environment at this stage of climate change.

Requirements and Data Content Evaluation of Industry In-House Data Management System

2010 ◽  
Author(s):  
Beshoy Morkos ◽  
Shraddha Joshi ◽  
Joshua D. Summers ◽  
Gregory G. Mocko
Keyword(s):  
Data Management ◽  
Management System ◽  
Large Scale ◽  
Data Management System ◽  
Industrial Case Study ◽  
Large Scale Data ◽  
Data Content ◽  
Scale Data ◽  
Future Growth

This paper presents an industrial case study performed on an in-house developed data management system for an automation firm. This data management system has been in use and evolving over a span of fifteen years. To ensure the system is robust to withstand the future growth of the corporation, a study is done to identify deficiencies that may prohibit efficient large scale data management. Specifically, this case study focused on the means in which project requirements are managed and explored the issues of perceived utility in the system. Two major findings are presented: completion metrics are not consistent or expressive of the actual needs and there is no linking between the activities and the original client requirements. Thus, the results of the study were used to depict the potential vulnerability of such deficiencies.

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