Using The Twitter Academic Api With R For Social Science Research
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Using The Twitter Academic Api With R For Social Science Research
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Author : Christopher Barrie
language : en
Publisher:
Release Date : 2022
Using The Twitter Academic Api With R For Social Science Research written by Christopher Barrie and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022 with Application program interfaces (Computer software) categories.
In this How-to Guide, you will learn how to access the Twitter Academic Research Product Track API with R and collect tweet data of different kinds. This API was recently introduced and allows users far more access to Twitter data than ever before. In order to make requests to (get data from) this API, you will be using a dedicated R package called "academictwitteR," which the authors helped to develop. We will learn how to count tweets matching specific criteria--that is, words or phrases, from particular regions, written in particular languages, over particular time periods. We will also learn how to collect the actual tweets themselves as well as information on the tweeters. On the way, you will learn to consider several methodological questions when collecting data of this kind. Chiefly, we will learn how to denominate our tweet counts by a relevant baseline in order to gauge overtime trends; we will think about how to sample from relevant users, and we will consider the population of individuals or phenomena of interest to which we might make generalizations on the basis of our Twitter-based findings.
Quantitative Social Science Data With R
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Author : Brian J. Fogarty
language : en
Publisher: SAGE
Release Date : 2023-03-25
Quantitative Social Science Data With R written by Brian J. Fogarty and has been published by SAGE this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-03-25 with Reference categories.
This practical, step-by-step introduction to quantitative social science using R will provide low-level undergraduates with a foundation of understanding, ready to build upon as students advance throughout statistics
Handbook Of Research On Advanced Research Methodologies For A Digital Society
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Author : Punziano, Gabriella
language : en
Publisher: IGI Global
Release Date : 2021-09-03
Handbook Of Research On Advanced Research Methodologies For A Digital Society written by Punziano, Gabriella and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-09-03 with Reference categories.
Doing research is an ever-changing challenge for social scientists. This challenge is harder than ever today as current societies are changing quickly and in many, sometimes conflicting, directions. Social phenomena, personal interactions, and formal and informal relationships are becoming more borderless and disconnected from the anchors of the offline “reality.” These dynamics are heavily marking our time and are suggesting evolutionary challenges in the ways we know, interpret, and analyze the world. Internet and computer-mediated communication (CMC) is being incorporated into every aspect of daily life, and social life has been deeply penetrated by the internet. This is due to recent technological developments that increase the scope and range of online social spaces and the forms and time of participation such as Web 2.0, which widened the opportunities for user-generated content, the emergence of an “internet of things,” and of ubiquitous mobile devices that make it possible to always be connected. This implies an adjustment to epistemological and methodological stances for conducting social research and an adaption of traditional social research methods to the specificities of online interactions in the digital society. The Handbook of Research on Advanced Research Methodologies for a Digital Society covers the different strands of methods most affected by the change in a digital society and develops a broader theoretical reflection on the future of social research in its challenge to always be fitting, suitable, adaptable, and pertinent to the society to be studied. The chapters are geared towards unlocking the future frontiers and potential for social research in the digital society. They include theoretical, epistemological, and ontological reflections about the digital research methods as well as innovative methods and tools to collect, analyze, and interpret data. This book is ideal for social scientists, practitioners, librarians, researchers, academicians, and students interested in social research methodology and its developments in the digital scenario.
The Sage Handbook Of Social Media Research Methods
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Author : Anabel Quan-Haase
language : en
Publisher: SAGE
Release Date : 2022-09-02
The Sage Handbook Of Social Media Research Methods written by Anabel Quan-Haase and has been published by SAGE this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-09-02 with Social Science categories.
The SAGE Handbook of Social Media Research Methods spans the entire research process, from data collection to analysis and interpretation. This second edition has been comprehensively updated and expanded, from 39 to 49 chapters. In addition to a new section of chapters focussing on ethics, privacy and the politics of social media data, the new edition provides broader coverage of topics such as: Data sources Scraping and spidering data Locative data, video data and linked data Platform-specific analysis Analytical tools Critical social media analysis Written by leading scholars from across the globe, the chapters provide a mix of theoretical and applied assessments of topics, and include a range of new case studies and data sets that exemplify the methodological approaches. This Handbook is an essential resource for any researcher or postgraduate student embarking on a social media research project. PART 1: Conceptualising and Designing Social Media Research PART 2: Collecting Data PART 3: Qualitative Approaches to Social Media Data PART 4: Quantitative Approaches to Social Media Data PART 5: Diverse Approaches to Social Media Data PART 6: Research & Analytical Tools PART 7: Social Media Platforms PART 8: Privacy, Ethics and Inequalities
Unanticipated Gains
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Author : Mario Luis Small
language : en
Publisher: Oxford University Press
Release Date : 2009-07-02
Unanticipated Gains written by Mario Luis Small and has been published by Oxford University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2009-07-02 with Social Science categories.
Social capital theorists have shown that some people do better than others in part because they enjoy larger, more supportive, or otherwise more useful networks. But why do some people have better networks than others? Unanticipated Gains argues that the practice and structure of the churches, colleges, firms, gyms, childcare centers, and schools in which people happen to participate routinely matter more than their deliberate "networking." Exploring the experiences of New York City mothers whose children were enrolled in childcare centers, this book examines why a great deal of these mothers, after enrolling their children, dramatically expanded both the size and usefulness of their personal networks. Whether, how, and how much the mother's networks were altered--and how useful these networks were--depended on the apparently trivial, but remarkably consequential, practices and regulations of the centers. The structure of parent-teacher organizations, the frequency of fieldtrips, and the rules regarding drop-off and pick-up times all affected the mothers' networks. Relying on scores of in-depth interviews with mothers, quantitative data on both mothers and centers, and detailed case studies of other routine organizations, Small shows that how much people gain from their connections depends substantially on institutional conditions they often do not control, and through everyday processes they may not even be aware of. Emphasizing not the connections that people make, but the context in which they are made, Unanticipated Gains presents a major new perspective on social capital and on the mechanisms producing social inequality.
Handbook Of Computational Social Science Volume 2
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Author : Uwe Engel
language : en
Publisher: Taylor & Francis
Release Date : 2021-11-10
Handbook Of Computational Social Science Volume 2 written by Uwe Engel and has been published by Taylor & Francis this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-11-10 with Computers categories.
The Handbook of Computational Social Science is a comprehensive reference source for scholars across multiple disciplines. It outlines key debates in the field, showcasing novel statistical modeling and machine learning methods, and draws from specific case studies to demonstrate the opportunities and challenges in CSS approaches. The Handbook is divided into two volumes written by outstanding, internationally renowned scholars in the field. This second volume focuses on foundations and advances in data science, statistical modeling, and machine learning. It covers a range of key issues, including the management of big data in terms of record linkage, streaming, and missing data. Machine learning, agent-based and statistical modeling, as well as data quality in relation to digital trace and textual data, as well as probability, non-probability, and crowdsourced samples represent further foci. The volume not only makes major contributions to the consolidation of this growing research field, but also encourages growth into new directions. With its broad coverage of perspectives (theoretical, methodological, computational), international scope, and interdisciplinary approach, this important resource is integral reading for advanced undergraduates, postgraduates, and researchers engaging with computational methods across the social sciences, as well as those within the scientific and engineering sectors.
A Tutorial For Using Twitter Data In The Social Sciences
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Author : Pascal Jürgens
language : en
Publisher:
Release Date : 2016
A Tutorial For Using Twitter Data In The Social Sciences written by Pascal Jürgens and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016 with categories.
The ever increasing use of digital tools and services has led to the emergence of new data sources for social scientists, data wittingly or unwittingly produced by users while interacting with digital tools. The potential of these digital trace data is well-established. Still, in practice, the process of data collection, preparation and storage, and subsequent analysis can provide challenges. With this tutorial, we provide a guide for social scientists to the collection, preparation, and analysis of digital trace data collected on the microblogging service Twitter. This tutorial comes with a set of scripts providing researchers with a starter kit of code allowing them to search, collect, and prepare Twitter data following their specific research interests. We will start with a general discussion of the research process with Twitter data. Following this, we will introduce a set of scripts for data collection on Twitter. After this, we will introduce various scripts for the preparation of data for analysis. We then present a series of examples for typical analyses that could be run with Twitter data. Here, we focus on counts, time series, and networks. We close this tutorial with a discussion of challenges in establishing digital trace data as a normal data source in the social sciences.
How To Extract And Analyze Twitter Data For Social Science Research
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Author : Walid Al-Saqaf
language : en
Publisher:
Release Date : 2022
How To Extract And Analyze Twitter Data For Social Science Research written by Walid Al-Saqaf and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022 with Twitter categories.
As a social networking and microblogging platform that allows communication with short messages, Twitter has the potential of being used by social scientists to study users, uses, and societal communication and networking online. This How-to Guide introduces practical steps on how to gather and analyze Twitter data to answer research questions of interest. The guide starts with a discussion of the value that studying Twitter brings to social scientists while noting some of the main challenges and limitations. Thereafter, the guide introduces general principles that need to be understood prior to doing Twitter research. Those principles are meant to help guide the researcher in creating a proper research design starting with formulating the research questions, moving to the stage of identifying the most effective methods for data gathering, and ending with the analysis stage to answer those questions. Readers who wish to explore the field are encouraged to apply the main guidelines presented in this guide to case studies using tools that allow the extraction and analysis of Twitter data.
Using R For Data Analysis In Social Sciences
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Author : Quan Li
language : en
Publisher: Oxford University Press
Release Date : 2018
Using R For Data Analysis In Social Sciences written by Quan Li and has been published by Oxford University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018 with Business & Economics categories.
Statistical analysis is common in the social sciences, and among the more popular programs is R. This book provides a foundation for undergraduate and graduate students in the social sciences on how to use R to manage, visualize, and analyze data. The focus is on how to address substantive questions with data analysis and replicate published findings. Using R for Data Analysis in Social Sciences adopts a minimalist approach and covers only the most important functions and skills in R to conduct reproducible research. It emphasizes the practical needs of students using R by showing how to import, inspect, and manage data, understand the logic of statistical inference, visualize data and findings via histograms, boxplots, scatterplots, and diagnostic plots, and analyze data using one-sample t-test, difference-of-means test, covariance, correlation, ordinary least squares (OLS) regression, and model assumption diagnostics. It also demonstrates how to replicate the findings in published journal articles and diagnose model assumption violations. Because the book integrates R programming, the logic and steps of statistical inference, and the process of empirical social scientific research in a highly accessible and structured fashion, it is appropriate for any introductory course on R, data analysis, and empirical social-scientific research.
Social Media As Social Science Data
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Author : Steven Lloyd Wilson
language : en
Publisher: Cambridge University Press
Release Date : 2022-11-17
Social Media As Social Science Data written by Steven Lloyd Wilson and has been published by Cambridge University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-11-17 with Social Science categories.
Social media has put mass communication in the hands of normal people on an unprecedented scale, and has also given social scientists the tools necessary to listen to the voices of everyday people around the world. This book gives social scientists the skills necessary to leverage that opportunity, and transform social media's vast stream of information into social science data. The book combines the big data techniques of computer science with social science methodology. Intended as a text for advanced undergraduates, graduate students, and researchers in the social sciences, this book provides a methodological pathway for scholars who want to make use of this new and evolving source of data. It provides a framework for building one's own data collection and analysis infrastructure, a toolkit of content analysis, geographic analysis, and network analysis, and meditations on the ethical implications of social media data.