Carlos Arcila Calderon – författare

Provides clear guidance on leveraging computational techniques to answer social science questionsIn disciplines such as political science, sociology, psychology, and media studies, the use of computational analysis is rapidly increasing. Statistical modeling, machine learning, and other computational techniques are revolutionizing the way electoral results are predicted, social sentiment is measured, consumer interest is evaluated, and much more. Computational Analysis of Communication teaches social science students and practitioners how computational methods can be used in a broad range of applications, providing discipline-relevant examples, clear explanations, and practical guidance.Assuming little or no background in data science or computer linguistics, this accessible textbook teaches readers how to use state-of-the art computational methods to perform data-driven analyses of social science issues. A cross-disciplinary team of authors—with expertise in both the social sciences and computer science—explains how to gather and clean data, manage textual, audio-visual, and network data, conduct statistical and quantitative analysis, and interpret, summarize, and visualize the results. Offered in a unique hybrid format that integrates print, ebook, and open-access online viewing, this innovative resource: Covers the essential skills for social sciences courses on big data, data visualization, text analysis, predictive analytics, and othersIntegrates theory, methods, and tools to provide unified approach to the subjectIncludes sample code in Python and links to actual research questions and cases from social science and communication studiesDiscusses ethical and normative issues relevant to privacy, data ownership, and reproducible social scienceDeveloped in partnership with the International Communication Association and by the editors of Computational Communication ResearchComputational Analysis of Communication is an invaluable textbook and reference for students taking computational methods courses in social sciences, and for professional social scientists looking to incorporate computational methods into their work.

In this book, contributors analyze the knowledge about human mobility, its interaction with news and social media, and the way this impacts the attitudes of local societies and the integration of immigrants. After a general contextualization of migration dynamics in Southern Europe and its impact during the 21st Century, the central chapters of the book offer the results of three scientific studies conducted in Spain, Italy, and Greece about the representation of migration in news media and social platforms. These studies consist of an analysis of the frames used in news photographs about migrants and refugees in relevant news outlets; a computational study of online hate speech in social media based on racism and xenophobia; and a comprehensive qualitative evaluation of the perceptions that journalists specializing in migration may have about the interconnection between migration and journalism. Scholars of communication, migration studies, and journalism will find this book of particular interest.