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Cognitive media theory
\"The question of what bearing scientific inquiry has upon the humanities is the subject of an important, ongoing debate in film and media studies. In the latest addition to the AFI Film Readers series, Cognitive Media Theory presents a case that the theorization of film and media spectatorship needs to take current empirical research in the sciences into consideration, and to show how empirical research informs film and media studies. Exploring topics that range from color perception and moral engagement to our cognitive response to humor, Cognitive Media Theory offers film and media scholars and advanced students an introduction to current cognitive theory through original essays that critically reflect upon the current state of the field. Contributors address key topics, genres, and media forms, and present the findings of specific experiments and case studies conducted across film, television, and video games\"-- Provided by publisher.
Book
Researching Experiences of Cancer Risk Through Online Blogs
By providing space to document personal narratives and hold virtual discussions, the Internet represents a fruitful resource for sociologists of health and illness. However, the use of social media content for research entails complex ethical considerations. Due to the fluidity of online material, existing ethical guidelines advise a deliberative approach. However, this has led to disparity in the use of social media resources within the social sciences. I share an account of \"doing ethics\" for qualitative research with blogs focused on hereditary cancer risk. Blogging emerged not only as cathartic for authors, but also a means of accessing support. Blogs may thus be construed as constitutive and not only representative of cancer (risk) experience. Ethical questions surround anonymity and the appropriation of authors' accounts beyond the context in which they are composed. By sharing reflections on working with hereditary cancer risk blogs, I contribute to the continued reflexivity of social media researchers.
Journal Article
Social media, sociality, and survey research
Provides the knowledge and tools needed for the future of survey research
The survey research discipline faces unprecedented challenges, such as falling response rates, inadequate sampling frames, and antiquated approaches and tools. Addressing this changing landscape, Social Media, Sociality, and Survey Research introduces readers to a multitude of new techniques in data collection in one of the fastest developing areas of survey research.
The book is organized around the central idea of a \"sociality hierarchy\" in social media interactions, comprised of three levels: broadcast, conversational, and community based. Social Media, Sociality, and Survey Research offers balanced coverage of the theory and practice of traditional survey research, while providing a conceptual framework for the opportunities social media platforms allow. Demonstrating varying perspectives and approaches to working with social media, the book features:
* New ways to approach data collection using platforms such as Facebook and Twitter
* Alternate methods for reaching out to interview subjects
* Design features that encourage participation with engaging, interactive surveys
Social Media, Sociality, and Survey Research is an important resource for survey researchers, market researchers, and practitioners who collect and analyze data in order to identify trends and draw reliable conclusions in the areas of business, sociology, psychology, and population studies. The book is also a useful text for upper-undergraduate and graduate-level courses on survey methodology and market research.
eBook
Selfies: Why We Love (and Hate) Them
This book presents a rich and nuanced analysis of selfie culture. It shows how selfies gain their meanings, illustrates different selfie practices, explores how selfies make us feel and why they have the power to make us feel anything, and unpacks how selfie practices and selfie related norms have changed or might change in the future.
eBook
Social media as social science data
\"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\"-- Provided by publisher.
Book
Listening In on Social Media
In this research, the authors jointly model the sentiment expressed in social media posts and the venue format to which it was posted as two interrelated processes in an effort to provide a measure of underlying brand sentiment. Using social media data from firms in two distinct industries, they allow the content of the post and the underlying sentiment toward the brand to affect both processes. The results show that the inferences marketing researchers obtain from monitoring social media are dependent on where they \"listen\" and that common approaches that either focus on a single social media venue or ignore differences across venues in aggregated data can lead to misleading brand sentiment metrics. The authors validate the approach by comparing their model-based measure of brand sentiment with performance measures obtained from external data sets (stock prices for both brands and an offline brand-tracking study for one brand). They find that their measure of sentiment serves as a leading indicator of the changes observed in these external data sources and outperforms other social media metrics currently used.
Journal Article
Perspectives on social media : a yearbook
\"Perspectives on Social Media presents the most current research on the effectiveness of social media across sectors. Progress in finding better applications for social media relies on the difficult task of integrating media technologies into fields such as engineering, marketing, health, learning, art, tourism, and the service industry. This book is based on cutting-edge creative work among top international researchers and renowned designers and provides readers with a preview of the most visionary outcomes in the field of social media. Some of the major topics that the book discusses are: New social media design Sense of community in web applications App design and development for mobile devices. Perspectives on Social Media uniquely builds on recent disputes among the top scholars around the world, thus including the dynamics of knowledge-sharing and cross-fertilization that one would expect to happen on the web but that are rarely found in a book\"-- Provided by publisher.
Book
Where Have All the Data Gone? A Critical Reflection on Academic Digital Research in the Post-API Age
In the wake of the 2018 Facebook–Cambridge Analytica scandal, social media companies began restricting academic researchers’ access to the easiest, most reliable means of systematic data collection via their application programming interfaces (APIs). Although these restrictions have been decried widely by digital researchers, in this essay, I argue that relatively little has changed. The underlying relationship between researchers, the platforms, and digital data remains largely the same. The platforms and their APIs have always been proprietary black boxes, never intended for scholarly use. Even when researchers could mine data seemingly endlessly, we rarely knew what type or quality of data were at hand. Moreover, the largesse of the API era allowed many researchers to conduct their work with little regard for the rigor, ethics, or focus on societal value, we should expect from scholarly inquiry. In other words, our digital research processes and output have not always occupied the high ground. Rather than viewing 2018 and Cambridge Analytica as a profound disjuncture and loss, I suggest that digital researchers need to take a more critical look at how our community collected and analyzed data when it still seemed so plentiful, and use these reflections to inform our approaches going forward.
Journal Article