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R Stuart Geiger

Biographic Data

ID277340
NAMER Stuart Geiger
GIVEN NAMESR Stuart
FAMILY NAMEGeiger
SIGNATUREGEIGER R S
AFFILIATIONSUniversity of California, Berkeley
ORCID0000-0001-7215-0532
VERIFIEDYes
TOTAL WORKS6
TOTAL CITATIONS21
AUTHOR COUNT6
EDITOR COUNT0
FIRST PUBLICATION YEAR2013
LATEST PUBLICATION YEAR2021
H-INDEX2
  • “Garbage in, garbage out” revisited: What do machine learning application papers report about human-labeled training data

    Open Access•R Stuart Geiger, Dominique Cope et al.•ARTICLE•Quantitative Science Studies•2021

    Supervised machine learning, in which models are automatically derived from labeled training data, is only as good as the quality of that data. This study builds on prior work that investigated to what extent “best practices” around labeling training data were followed in applied ML publications within a single domain (social media platforms). In this paper, we expand by studying publications that apply supervised ML in a far broader spectrum of …

  • The Types, Roles, and Practices of Documentation in Data Analytics Open Source Software Libraries: A Collaborative Ethnography of Documentation Work

    Open Access•R Stuart Geiger, Nelle Varoquaux et al.•ARTICLE•Computer Supported Cooperative…•2018

    Computational research and data analytics increasingly relies on complex ecosystems of open source software (OSS) "libraries" -curated collections of reusable code that programmers import to perform a specific task. Software documentation for these libraries is crucial in helping programmers/analysts know what libraries are available and how to use them. Yet documentation for open source software libraries is widely considered low-quality. This a…

  • Beyond opening up the black box: Investigating the role of algorithmic systems in Wikipedian organizational culture

    Open Access•R Stuart Geiger•ARTICLE•Big Data & Society•2017•Cited by: 16•References: 27

    Scholars and practitioners across domains are increasingly concerned with algorithmic transparency and opacity, interrogating the values and assumptions embedded in automated, black-boxed systems, particularly in user-generated content platforms. I report from an ethnography of infrastructure in Wikipedia to discuss an often understudied aspect of this topic: the local, contextual, learned expertise involved in participating in a highly automated…

  • Bot-based collective blocklists in Twitter: The counterpublic moderation of harassment in a networked public space

    R Stuart Geiger•ARTICLE•Information Communication & Society•2016

    This article introduces and discusses bot-based collective blocklists (or blockbots) in Twitter, which have been developed by volunteers to combat harassment in the social networking site. Blockbots support the curation of a shared blocklist of accounts, where subscribers to a blockbot will not receive any notifications or messages from accounts on the blocklist. Blockbots support counterpublic communities, helping people moderate their own exper…

  • The Next Generation of Scientists: Examining the Experiences of Graduate Students in Network-Level Social-Ecological Science

    Open Access•Michele Romolini, Sydne Record et al.•ARTICLE•Conservation Ecology•2013

    Romolini, M., S. Record, R. Garvoille, Y. Marusenko, and R. Stuart Geiger. 2013. The next generation of scientists: examining the experiences of graduate students in network-level social-ecological science. Ecology and Society 18(3): 42. https://doi.org/10.5751/ES-05606-180342

  • The Rise and Decline of an Open Collaboration System: How Wikipedia’s Reaction to Popularity Is Causing Its Decline

    Open Access•Aaron Halfaker, R Stuart Geiger et al.•ARTICLE•American Behavioral Scientist•2013•Cited by: 5•References: 30

    Open collaboration systems, such as Wikipedia, need to maintain a pool of volunteer contributors to remain relevant. Wikipedia was created through a tremendous number of contributions by millions of contributors. However, recent research has shown that the number of active contributors in Wikipedia has been declining steadily for years and suggests that a sharp decline in the retention of newcomers is the cause. This article presents data that sh…

  • Beyond opening up the black box: Investigating the role of algorithmic systems in Wikipedian organizational culture

    Open Access•R Stuart Geiger•ARTICLE•Big Data & Society•2017•Cited by: 16•References: 27

    Scholars and practitioners across domains are increasingly concerned with algorithmic transparency and opacity, interrogating the values and assumptions embedded in automated, black-boxed systems, particularly in user-generated content platforms. I report from an ethnography of infrastructure in Wikipedia to discuss an often understudied aspect of this topic: the local, contextual, learned expertise involved in participating in a highly automated…

  • The Rise and Decline of an Open Collaboration System: How Wikipedia’s Reaction to Popularity Is Causing Its Decline

    Open Access•Aaron Halfaker, R Stuart Geiger et al.•ARTICLE•American Behavioral Scientist•2013•Cited by: 5•References: 30

    Open collaboration systems, such as Wikipedia, need to maintain a pool of volunteer contributors to remain relevant. Wikipedia was created through a tremendous number of contributions by millions of contributors. However, recent research has shown that the number of active contributors in Wikipedia has been declining steadily for years and suggests that a sharp decline in the retention of newcomers is the cause. This article presents data that sh…

  • The Next Generation of Scientists: Examining the Experiences of Graduate Students in Network-Level Social-Ecological Science

    Open Access•Michele Romolini, Sydne Record et al.•ARTICLE•Conservation Ecology•2013

    Romolini, M., S. Record, R. Garvoille, Y. Marusenko, and R. Stuart Geiger. 2013. The next generation of scientists: examining the experiences of graduate students in network-level social-ecological science. Ecology and Society 18(3): 42. https://doi.org/10.5751/ES-05606-180342

  • The Rise and Decline of an Open Collaboration System: How Wikipedia’s Reaction to Popularity Is Causing Its Decline

    Open Access•Aaron Halfaker, R Stuart Geiger et al.•ARTICLE•American Behavioral Scientist•2013•Cited by: 5•References: 30

    Open collaboration systems, such as Wikipedia, need to maintain a pool of volunteer contributors to remain relevant. Wikipedia was created through a tremendous number of contributions by millions of contributors. However, recent research has shown that the number of active contributors in Wikipedia has been declining steadily for years and suggests that a sharp decline in the retention of newcomers is the cause. This article presents data that sh…

  • Bot-based collective blocklists in Twitter: The counterpublic moderation of harassment in a networked public space

    R Stuart Geiger•ARTICLE•Information Communication & Society•2016

    This article introduces and discusses bot-based collective blocklists (or blockbots) in Twitter, which have been developed by volunteers to combat harassment in the social networking site. Blockbots support the curation of a shared blocklist of accounts, where subscribers to a blockbot will not receive any notifications or messages from accounts on the blocklist. Blockbots support counterpublic communities, helping people moderate their own exper…

  • Beyond opening up the black box: Investigating the role of algorithmic systems in Wikipedian organizational culture

    Open Access•R Stuart Geiger•ARTICLE•Big Data & Society•2017•Cited by: 16•References: 27

    Scholars and practitioners across domains are increasingly concerned with algorithmic transparency and opacity, interrogating the values and assumptions embedded in automated, black-boxed systems, particularly in user-generated content platforms. I report from an ethnography of infrastructure in Wikipedia to discuss an often understudied aspect of this topic: the local, contextual, learned expertise involved in participating in a highly automated…

  • The Types, Roles, and Practices of Documentation in Data Analytics Open Source Software Libraries: A Collaborative Ethnography of Documentation Work

    Open Access•R Stuart Geiger, Nelle Varoquaux et al.•ARTICLE•Computer Supported Cooperative…•2018

    Computational research and data analytics increasingly relies on complex ecosystems of open source software (OSS) "libraries" -curated collections of reusable code that programmers import to perform a specific task. Software documentation for these libraries is crucial in helping programmers/analysts know what libraries are available and how to use them. Yet documentation for open source software libraries is widely considered low-quality. This a…

  • “Garbage in, garbage out” revisited: What do machine learning application papers report about human-labeled training data

    Open Access•R Stuart Geiger, Dominique Cope et al.•ARTICLE•Quantitative Science Studies•2021

    Supervised machine learning, in which models are automatically derived from labeled training data, is only as good as the quality of that data. This study builds on prior work that investigated to what extent “best practices” around labeling training data were followed in applied ML publications within a single domain (social media platforms). In this paper, we expand by studying publications that apply supervised ML in a far broader spectrum of …

Computer Science (3 works) · Internet privacy (2 works) · Law (2 works) · Open Source Software Innovations (2 works) · Political science (2 works) · Public relations (2 works) · Sociology (2 works) · Wikis in Education and Collaboration (2 works) · World Wide Web (2 works) · Analytics (1 works)

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