Semantic Network Analysis in Social Sciences introduces the fundamentals of semantic network analysis and its applications in the social sciences. Readers learn how to easily transform any given text into a visual network of words co-occurring together, a process that allows mapping the main themes appearing in the text and revealing its main narratives and biases.

Semantic network analysis is particularly useful today with the increasing volumes of text-based information available. It is one of the developing, cutting-edge methods to organize, identify patterns and structures, and understand the meanings of our information society. The first chapters in this book offer step-by-step guidelines for conducting semantic network analysis, including choosing and preparing the text, selecting desired words, constructing the networks, and interpreting their meanings. Free software tools and code are also presented. The rest of the book displays state-of-the-art studies from around the world that apply this method to explore news, political speeches, social media content, and even to organize interview transcripts and literature reviews.

Aimed at scholars with no previous knowledge in the field, this book can be used as a main or a supplementary textbook for general courses on research methods or network analysis courses, as well as a starting point to conduct your own content analysis of large texts.

Semantic Network Analysis in Social Sciences introduces the fundamentals of semantic network analysis and its applications in the social sciences. Readers learn how to easily transform any given text into a visual network of words co-occurring together, a process that allows mapping the main themes appearing in the text and revealing its main narratives and biases.

Semantic network analysis is particularly useful today with the increasing volumes of text-based information available. It is one of the developing, cutting-edge methods to organize, identify patterns and structures, and understand the meanings of our information society. The first chapters in this book offer step-by-step guidelines for conducting semantic network analysis, including choosing and preparing the text, selecting desired words, constructing the networks, and interpreting their meanings. Free software tools and code are also presented. The rest of the book displays state-of-the-art studies from around the world that apply this method to explore news, political speeches, social media content, and even to organize interview transcripts and literature reviews.

Aimed at scholars with no previous knowledge in the field, this book can be used as a main or a supplementary textbook for general courses on research methods or network analysis courses, as well as a starting point to conduct your own content analysis of large texts.

This accessible and original book offers a novel analytical framework for understanding the relationship between information and power as the tension between popular and personal stories.

Information and Power: Popular and Personal Storytelling in the Digital Age describes the relationship between information and power as a pendulum that constantly shifts from popular to personal stories and never reaches its balance. Through four detailed chapters, each framed as a question, the book looks at the past, present, and future challenges of Western societies. It examines the ever-growing commercialization, selfie culture, influencers, fake news and misinformation, hate speech, national identity, international conflicts, and the race of big tech companies to develop the next generation of artificial intelligence. All those seemingly unrelated topics are explained through a single prism—the tension between popular and personal stories, and our search for more meaningful identities. Finally, the book offers various ways to address these issues by promoting modesty and trust through education and regulations as well as future technology design and usage.

Written in accessible language and requiring no prior knowledge of the field, this book is intended for undergraduate students in communication and media studies, sociology, political science, international relations, and all those interested in the issues it addresses.

This accessible and original book offers a novel analytical framework for understanding the relationship between information and power as the tension between popular and personal stories.

Information and Power: Popular and Personal Storytelling in the Digital Age describes the relationship between information and power as a pendulum that constantly shifts from popular to personal stories and never reaches its balance. Through four detailed chapters, each framed as a question, the book looks at the past, present, and future challenges of Western societies. It examines the ever-growing commercialization, selfie culture, influencers, fake news and misinformation, hate speech, national identity, international conflicts, and the race of big tech companies to develop the next generation of artificial intelligence. All those seemingly unrelated topics are explained through a single prism—the tension between popular and personal stories, and our search for more meaningful identities. Finally, the book offers various ways to address these issues by promoting modesty and trust through education and regulations as well as future technology design and usage.

Written in accessible language and requiring no prior knowledge of the field, this book is intended for undergraduate students in communication and media studies, sociology, political science, international relations, and all those interested in the issues it addresses.

Semantic Network Analysis in Social Sciences introduces the fundamentals of semantic network analysis and its applications in the social sciences. Readers learn how to easily transform any given text into a visual network of words co-occurring together, a process that allows mapping the main themes appearing in the text and revealing its main narratives and biases.

Semantic network analysis is particularly useful today with the increasing volumes of text-based information available. It is one of the developing, cutting-edge methods to organize, identify patterns and structures, and understand the meanings of our information society. The first chapters in this book offer step-by-step guidelines for conducting semantic network analysis, including choosing and preparing the text, selecting desired words, constructing the networks, and interpreting their meanings. Free software tools and code are also presented. The rest of the book displays state-of-the-art studies from around the world that apply this method to explore news, political speeches, social media content, and even to organize interview transcripts and literature reviews.

Aimed at scholars with no previous knowledge in the field, this book can be used as a main or a supplementary textbook for general courses on research methods or network analysis courses, as well as a starting point to conduct your own content analysis of large texts.

Semantic Network Analysis in Social Sciences introduces the fundamentals of semantic network analysis and its applications in the social sciences. Readers learn how to easily transform any given text into a visual network of words co-occurring together, a process that allows mapping the main themes appearing in the text and revealing its main narratives and biases.

Semantic network analysis is particularly useful today with the increasing volumes of text-based information available. It is one of the developing, cutting-edge methods to organize, identify patterns and structures, and understand the meanings of our information society. The first chapters in this book offer step-by-step guidelines for conducting semantic network analysis, including choosing and preparing the text, selecting desired words, constructing the networks, and interpreting their meanings. Free software tools and code are also presented. The rest of the book displays state-of-the-art studies from around the world that apply this method to explore news, political speeches, social media content, and even to organize interview transcripts and literature reviews.

Aimed at scholars with no previous knowledge in the field, this book can be used as a main or a supplementary textbook for general courses on research methods or network analysis courses, as well as a starting point to conduct your own content analysis of large texts.

This accessible and original book offers a novel analytical framework for understanding the relationship between information and power as the tension between popular and personal stories.

Information and Power: Popular and Personal Storytelling in the Digital Age describes the relationship between information and power as a pendulum that constantly shifts from popular to personal stories and never reaches its balance. Through four detailed chapters, each framed as a question, the book looks at the past, present, and future challenges of Western societies. It examines the ever-growing commercialization, selfie culture, influencers, fake news and misinformation, hate speech, national identity, international conflicts, and the race of big tech companies to develop the next generation of artificial intelligence. All those seemingly unrelated topics are explained through a single prism—the tension between popular and personal stories, and our search for more meaningful identities. Finally, the book offers various ways to address these issues by promoting modesty and trust through education and regulations as well as future technology design and usage.

Written in accessible language and requiring no prior knowledge of the field, this book is intended for undergraduate students in communication and media studies, sociology, political science, international relations, and all those interested in the issues it addresses.

This accessible and original book offers a novel analytical framework for understanding the relationship between information and power as the tension between popular and personal stories.

Information and Power: Popular and Personal Storytelling in the Digital Age describes the relationship between information and power as a pendulum that constantly shifts from popular to personal stories and never reaches its balance. Through four detailed chapters, each framed as a question, the book looks at the past, present, and future challenges of Western societies. It examines the ever-growing commercialization, selfie culture, influencers, fake news and misinformation, hate speech, national identity, international conflicts, and the race of big tech companies to develop the next generation of artificial intelligence. All those seemingly unrelated topics are explained through a single prism—the tension between popular and personal stories, and our search for more meaningful identities. Finally, the book offers various ways to address these issues by promoting modesty and trust through education and regulations as well as future technology design and usage.

Written in accessible language and requiring no prior knowledge of the field, this book is intended for undergraduate students in communication and media studies, sociology, political science, international relations, and all those interested in the issues it addresses.