Content Analysis in the Research Field of Video Games

other

Author(s): Tim Wulf , Daniel Possler , Johannes Breuer

Publication date (Online): September 25 2022

Publisher: Springer Fachmedien Wiesbaden

Read this book at

Publisher

Buy book

Bookmark

There is no author summary for this book yet. Authors can add summaries to their books on ScienceOpen to make them more accessible to a non-specialist audience.

Abstract

This chapter provides an overview of content-analytical research on video games. We introduce existing and emerging constructs commonly studied in content analyses of video games (e.g., violence, sexism), review methodological challenges, and discuss how research so far has dealt with them. We also offer suggestions for future directions for content analyses of video games, both in terms of the constructs and games studied as well as the methods applied.

Related collections

Most cited references 31

Record: found
Abstract: not found
Article: not found

Probabilistic topic models

David M. Blei (2012)

0 comments Cited 477 times – based on 0 reviews      Review now

Bookmark

Record: found
Abstract: found
Article: not found

Text as Data: The Promise and Pitfalls of Automatic Content Analysis Methods for Political Texts

Justin Grimmer, Brandon M. Stewart (2013)

Politics and political conflict often occur in the written and spoken word. Scholars have long recognized this, but the massive costs of analyzing even moderately sized collections of texts have hindered their use in political science research. Here lies the promise of automated text analysis: it substantially reduces the costs of analyzing large collections of text. We provide a guide to this exciting new area of research and show how, in many instances, the methods have already obtained part of their promise. But there are pitfalls to using automated methods—they are no substitute for careful thought and close reading and require extensive and problem-specific validation. We survey a wide range of new methods, provide guidance on how to validate the output of the models, and clarify misconceptions and errors in the literature. To conclude, we argue that for automated text methods to become a standard tool for political scientists, methodologists must contribute new methods and new methods of validation.