S
Scott Appling
Researcher at Georgia Tech Research Institute
Publications - 9
Citations - 136
Scott Appling is an academic researcher from Georgia Tech Research Institute. The author has contributed to research in topics: Situation awareness & Social media. The author has an hindex of 3, co-authored 9 publications receiving 99 citations. Previous affiliations of Scott Appling include Georgia Institute of Technology.
Papers
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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 ArticleDOI
Real-time streaming intelligence: Integrating graph and NLP analytics
TL;DR: It is made the case that social graph analysis and natural language modeling in real time are paramount to distilling useful intelligence from the large volumes of data available to crisis response personnel.
Journal ArticleDOI
Technology Futures From Passive Crowdsourcing
TL;DR: A novel approach for harnessing a collective (crowdsourced) predictive ability available through publicly made technology-related statements by automatically determining significant convergences on technology forecasts is described.
Journal ArticleDOI
AdaptNet: Human Activity Recognition via Bilateral Domain Adaptation Using Semi-Supervised Deep Translation Networks
Sungtae An,Alessio Medda,Michael N. Sawka,Clayton J. Hutto,Mindy L. Millard-Stafford,Scott Appling,Kristine L. S. Richardson,Omer T. Inan +7 more
TL;DR: AdaptNet as discussed by the authors is a semi-supervised deep translation network for human activity recognition from a single triaxial accelerometer using adaptive cycle-consistency losses to combine information from two data domains over shared latent space.
Book ChapterDOI
Panel discussion: Moving social-behavioral modeling forward
Angela O'Mahony,Paul K. Davis,Scott Appling,Matthew E. Brashears,Erica Briscoe,Kathleen M. Carley,Joshua M. Epstein,Luke J. Matthews,Luke J. Matthews,Theodore P. Pavlic,William Rand,Scott Neal Reilly,William B. Rouse,Samarth Swarup,Andreas Tolk,Raffaele Vardavas,Levent Yilmaz +16 more
TL;DR: In this paper, the authors describe panel discussion and debate relating to various multi-scale phenomena in social science, including emergence, and discuss the role of emergence in the emergence process.