Sean Goggins

Biographic Data

ID6714759
NAMESean Goggins
GIVEN NAMESSean
FAMILY NAMEGoggins
SIGNATUREGOGGINS S
AFFILIATIONSUniversity of Missouri, Columbia, MO, USA
ORCID0000-0002-7549-9446
VERIFIEDYes
TOTAL WORKS6
TOTAL CITATIONS7
WORKS AS AUTHOR6
WORKS AS EDITOR0
FIRST PUBLICATION YEAR2012
LATEST PUBLICATION YEAR2025
H-INDEX2

  • Open source software field research

    Open AccessSean Goggins, Matthew Germonprez et al.ARTICLEFirst Monday2025

    Sociotechnical research increasingly includes the social sub-networks that emerge from large-scale sociotechnical infrastructure, including the infrastructure for building open source software. This paper addresses these numerous sub-networks as advantageous for researchers. It provides a methodological synthesis focusing on how researchers can best span adjacent social sub-networks during engaged field research. Specifically, we describe practic…

  • Using humanitarian free and open source software (HFOSS) to introduce computing for the social good

    Open AccessLori Postner, Darci Burdge et al.ARTICLEACM SIGCAS Computers and Society2015

    Humanitarian Free and Open Source Software (HFOSS) is a category of free and open source software that improves the human condition. HFOSS projects focus on a range of societal needs including microfinance, healthcare, education, and disaster relief. Many HFOSS projects are developed by international teams whose goal is to make the world a better place. These projects are often primarily used in developing nations, but many have been adopted acro…

  • Technologically Mediated Political Discourse During a Nationally Televised GOP Primary Debate

    Christopher Mascaro, Christopher M Mascaro et al.ARTICLEJournal of Information Technology…2015Cited by: 4References: 13

    Social media creates a geographically independent commons that transforms citizen participation in political discourse. In our study, we examine 185,420 publicly available Twitter messages during a Republican primary debate in November 2011, hosted by CNN and viewed by over 3.5 million individuals in the United States. We identify how activity differs at various phases of a televised debate and who the subjects of this discourse are through analy…

  • Sifting signal from noise

    Open AccessIan Graves, Nora McDonald et al.ARTICLENew Media & Society2014Cited by: 1References: 5

    A good deal of Twitter research focuses on event-detection using algorithms that rely on keywords and tweet density. We present an alternative analysis of tweets, filtering by hashtags related to the 2012 Superbowl and validated against the 2013 baseball World Series. We analyze low-volume, topically similar tweets which reference specific plays (sub-contexts) within the game at the time they occur. These communications are not explicitly linked;…

  • Connecting Theory to Social Technology Platforms

    Open AccessSean Goggin, Sean Goggins et al.ARTICLEAmerican Behavioral Scientist2014References: 30

    In this article, the authors synthesize 3 years of social technologies research, including studies of Facebook, Twitter, and GitHub, to present a theory driven framework to guide future social scientific research using "Big Data." They connect levels of analysis derived from empirical study of influence to the electronic trace data generated by social technologies. Specifically, the authors outline a relationship between social media technology p…

  • The Daily Brew

    Christopher Mascaro, Christopher M Mascaro et al.ARTICLEJournal of Information Technology…2012Cited by: 2References: 17

    The activity of the Facebook Group, “Join the Coffee Party Movement” (Coffee Party), is studied during a seven-month period leading up to and following the 2010 United States Midterm election. During this time period, the Coffee Party Facebook Group Administrator account posted 872 parent posts, which received 152,762 comments from participants. We examine the resulting electronic trace data utilizing a method for analyzing weighted social networ…