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Amy X. Zhang
Researcher at University of Washington
Publications - 60
Citations - 1339
Amy X. Zhang is an academic researcher from University of Washington. The author has contributed to research in topics: Online discussion & Automatic summarization. The author has an hindex of 16, co-authored 60 publications receiving 852 citations. Previous affiliations of Amy X. Zhang include Google & Massachusetts Institute of Technology.
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Journal ArticleDOI
How do Data Science Workers Collaborate? Roles, Workflows, and Tools
TL;DR: This paper conducted an online survey with 183 participants who work in various aspects of data science and found that data science teams are extremely collaborative and work with a variety of stakeholders and tools during the six common steps of a data science workflow (e.g., clean data and train model).
Proceedings ArticleDOI
A Structured Response to Misinformation: Defining and Annotating Credibility Indicators in News Articles
Amy X. Zhang,Aditya Ranganathan,Sarah Emlen Metz,Scott Appling,Connie Moon Sehat,Norman Gilmore,Nick B. Adams,Emmanuel M. Vincent,Jennifer . Lee,Martin Robbins,Ed Bice,Sandro Hawke,David R. Karger,An Xiao Mina +13 more
TL;DR: An initial set of indicators for article credibility defined by a diverse coalition of experts, which originate from both within an article's text as well as from external sources or article metadata are presented.
Proceedings Article
Characterizing Online Discussion Using Coarse Discourse Sequences
TL;DR: A categorization of coarse discourse acts designed to encompass general online discussion and allow for easy annotation by crowd workers is devised, and the broadening of discourse acts from simply question and answer to a richer set of categories can improve the recall performance of Q&A extraction.
Journal ArticleDOI
Making Sense of Group Chat through Collaborative Tagging and Summarization
Amy X. Zhang,Justin Cranshaw +1 more
TL;DR: Tilda, a prototype system that enables people to collaboratively enrich their chat conversation while conversing, is developed and found that teams actively engaged with Tilda both for marking up their chat as well as catching up on chat.
Proceedings ArticleDOI
Wikum: Bridging Discussion Forums and Wikis Using Recursive Summarization
TL;DR: This article describes a workflow called recursive summarization, implemented in the Wikum prototype, that enables a large population of readers or editors to work in small doses to refine out the main points of the discussion.