Zobrazeno 1 - 10
of 65
pro vyhledávání: '"Geiger, R. Stuart"'
We conducted controlled experimental bias audits for four versions of ChatGPT, which we asked to recommend an opening offer in salary negotiations for a new hire. We submitted 98,800 prompts to each version, systematically varying the employee's gend
Externí odkaz:
http://arxiv.org/abs/2409.15567
Autor:
Geiger, R. Stuart, Cope, Dominique, Ip, Jamie, Lotosh, Marsha, Shah, Aayush, Weng, Jenny, Tang, Rebekah
Publikováno v:
Quantitative Science Studies 2:2 (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
Externí odkaz:
http://arxiv.org/abs/2107.02278
Autor:
Geiger, R. Stuart, Yu, Kevin, Yang, Yanlai, Dai, Mindy, Qiu, Jie, Tang, Rebekah, Huang, Jenny
Publikováno v:
Proc ACM FAT* 2020
Many machine learning projects for new application areas involve teams of humans who label data for a particular purpose, from hiring crowdworkers to the paper's authors labeling the data themselves. Such a task is quite similar to (or a form of) str
Externí odkaz:
http://arxiv.org/abs/1912.08320
Autor:
Halfaker, Aaron, Geiger, R. Stuart
Algorithmic systems---from rule-based bots to machine learning classifiers---have a long history of supporting the essential work of content moderation and other curation work in peer production projects. From counter-vandalism to task routing, basic
Externí odkaz:
http://arxiv.org/abs/1909.05189
Autor:
Geiger, R. Stuart
Publikováno v:
PACMHCI 3, CSCW (2019) 222
In this note, I quantitatively examine various trends in the lengths of published papers in ACM CSCW from 2000-2018, focusing on several major transitions in editorial and reviewing policy. The focus is on the rise and fall of the 4-page note, which
Externí odkaz:
http://arxiv.org/abs/1908.10808
Publikováno v:
In CHI 2012 Extended Abstracts on Human Factors in Computing Systems (CHI EA 2012, alt.chi). ACM, New York, NY, USA, p. 71-80. DOI: https://doi.org/10.1145/2212776.2212785
We introduce IP over Xylophone Players (IPoXP), a novel Internet protocol between two computers using xylophone-based Arduino interfaces. In our implementation, human operators are situated within the lowest layer of the network, transmitting data be
Externí odkaz:
http://arxiv.org/abs/1906.02836
Autor:
Geiger, R. Stuart
Publikováno v:
Book chapter in __Wikipedia: A Critical Point of View__ (Institute of Network Cultures, Amsterdam), 2011
Automated software agents --- or bots --- have long been an important part of how Wikipedia's volunteer community of editors write, edit, update, monitor, and moderate content. In this paper, I discuss the complex social and technical environment in
Externí odkaz:
http://arxiv.org/abs/1810.09590
Autor:
Geiger, R. Stuart, Halfaker, Aaron
Publikováno v:
Proc ACM on Human Computer Interaction. 1(2), Article 49. CSCW 2018
This paper replicates, extends, and refutes conclusions made in a study published in PLoS ONE ("Even Good Bots Fight"), which claimed to identify substantial levels of conflict between automated software agents (or bots) in Wikipedia using purely qua
Externí odkaz:
http://arxiv.org/abs/1810.07273
Publikováno v:
Computer-Supported Cooperative Work. 2018. doi: 10.1007/s10606-018-9333-1
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
Externí odkaz:
http://arxiv.org/abs/1805.12398
Autor:
Geiger, R. Stuart
Publikováno v:
Big Data & Society 4(2). 2017
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 r
Externí odkaz:
http://arxiv.org/abs/1709.09093