Hello, Aoirers, I hope you are all keeping well at home, but I suspect you may be ready to see people "away from keyboard" soon enough. If you have an interest in digital methods, why not join us for HICSS in Kauai from January 5-8. For more information, see the description below, or reach out to Shawn Walker (shawn.w@asu.edu), Matthew Webber (msw@umn.edu), or me ( theprof@asu.edu). There has been an explosion of research using social media data to study human behavior and social interaction in almost every domain of social science. While the body of literature using digital and social media data is growing at a staggering rate, accompanying methodological contributions about the process of conducting research with digital and social media data remains thin. The existing methodological literature is typically tool or technology driven, and not a result of empirical examination of the data collection process.This leaves researchers without an understanding of how to approach or evaluate the social media data collection process, and in turn, how to appropriately interpret findings from this type of research. As a result, researchers, practitioners, and students are left to continually reinvent the wheel by learning through a process of trial and error. This minitrack addresses this gap by providing a venue to discuss methodological issues and approaches to conducting research with digital and social media data. We welcome papers related to methodological challenges for researchers including, but not limited to: (1) the need for new methods for data collection and analysis, (2) adaptations of existing methods (3) issues of representation and sampling, (4) ephemerality of social media data, (5) holistic collection of digital social media data and associated content such as images/URLs/video, (6) preservation, archiving, and data sharing, and (7) impact of changing platform affordances, interfaces, designs, and APIs. https://hicss.hawaii.edu/tracks-54/digital-and-social-media/#digital-methods... Best, Alex -- // Alexander Halavais (he/him) @halavais alex.halavais.net/bio // Associate Prof. of Critical Data Studies - Director of MA in Social Tech // Arizona State University, New College, Social & Behavioral Sciences // "I want to see you not through the Machine," said Kuno. "I want to // speak to you not through the wearisome Machine."