Without a trace: How studying invisible interactions can help us understand social media

Nicole B. Ellison, Megan French, Eden Litt, S. Shyam Sundar, Penny Trieu

Research output: Chapter in Book/Report/Conference proceedingConference contribution

3 Scopus citations


Scholars studying social media have embraced the opportunities afforded by behavioral data captured by online tools to explore the implications of platform use for outcomes such as well-being, relationship maintenance, and perceptions of social capital. However, the prevalence of these methods demands that we consider their potential limitations and the question of how to best combine them with more traditional methods, such as self-report surveys. For this panel, scholars will share brief presentations then engage with the audience, and each other, to identify concerns, opportunities, and best practices. Guiding questions include: What is lost when we rely exclusively on click-based data? How can researchers better measure and account for "invisible" interactions such as exchanges that are triggered by social media, but occur in other channels? What principles are important to bear in mind as we attempt to capture, document, and understand contemporary social media practices?

Original languageEnglish (US)
Title of host publicationCSCW 2018 Companion - Companion of the 2018 ACM Conference on Computer Supported Cooperative Work and Social Computing
PublisherAssociation for Computing Machinery
Number of pages4
ISBN (Electronic)9781450360180
StatePublished - Oct 30 2018
Event21st ACM Conference on Computer-Supported Cooperative Work and Social Computing, CSCW 2018 - Jersey City, United States
Duration: Nov 3 2018Nov 7 2018

Publication series

NameProceedings of the ACM Conference on Computer Supported Cooperative Work, CSCW


Other21st ACM Conference on Computer-Supported Cooperative Work and Social Computing, CSCW 2018
Country/TerritoryUnited States
CityJersey City

All Science Journal Classification (ASJC) codes

  • Software
  • Computer Networks and Communications
  • Human-Computer Interaction

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