Следене
Jake Ryland Williams
Jake Ryland Williams
Assistant Professor of Information Science, Drexel University
Потвърден имейл адрес: drexel.edu
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Позовавания
Позовавания
Година
Human language reveals a universal positivity bias
PS Dodds, EM Clark, S Desu, MR Frank, AJ Reagan, JR Williams, ...
Proceedings of the national academy of sciences 112 (8), 2389-2394, 2015
4842015
Sifting robotic from organic text: a natural language approach for detecting automation on Twitter
EM Clark, JR Williams, CA Jones, RA Galbraith, CM Danforth, PS Dodds
Journal of computational science 16, 1-7, 2016
1352016
Buzzface: A news veracity dataset with facebook user commentary and egos
G Santia, J Williams
Proceedings of the international AAAI conference on web and social media 12 …, 2018
1342018
Sentiment analysis methods for understanding large-scale texts: a case for using continuum-scored words and word shift graphs
AJ Reagan, CM Danforth, B Tivnan, JR Williams, PS Dodds
EPJ Data Science 6, 1-21, 2017
122*2017
Vaporous marketing: uncovering pervasive electronic cigarette advertisements on Twitter
EM Clark, CA Jones, JR Williams, AN Kurti, MC Norotsky, CM Danforth, ...
PloS one 11 (7), e0157304, 2016
912016
Zipf’s law holds for phrases, not words
J Ryland Williams, PR Lessard, S Desu, EM Clark, JP Bagrow, ...
Scientific reports 5 (1), 12209, 2015
762015
Detecting social bots on facebook in an information veracity context
GC Santia, MI Mujib, JR Williams
Proceedings of the international AAAI conference on web and social media 13 …, 2019
472019
Text mixing shapes the anatomy of rank-frequency distributions
JR Williams, JP Bagrow, CM Danforth, PS Dodds
Physical Review E 91 (5), 052811, 2015
442015
The Lexicocalorimeter: Gauging public health through caloric input and output on social media
SE Alajajian, JR Williams, AJ Reagan, SC Alajajian, MR Frank, L Mitchell, ...
PloS one 12 (2), e0168893, 2017
432017
A scalable machine learning approach for measuring violent and peaceful forms of political protest participation with social media data
LJ Anastasopoulos, JR Williams
Plos one 14 (3), e0212834, 2019
25*2019
Photographic home styles in Congress: a computer vision approach
LJ Anastasopoulos, D Badani, C Lee, S Ginosar, J Williams
arXiv preprint arXiv:1611.09942, 2016
25*2016
Simon's fundamental rich-get-richer model entails a dominant first-mover advantage
PS Dodds, DR Dewhurst, FF Hazlehurst, CM Van Oort, L Mitchell, ...
Physical Review E 95 (5), 052301, 2017
202017
The earth is flat and the sun is not a star: The susceptibility of GPT-2 to universal adversarial triggers
HS Heidenreich, JR Williams
Proceedings of the 2021 AAAI/ACM Conference on AI, Ethics, and Society, 566-573, 2021
132021
Understanding disciplinary vocabularies using a full-text enabled domain-independent term extraction approach
E Yan, J Williams, Z Chen
PloS one 12 (11), e0187762, 2017
132017
NALM-based, phase-preserving 2R regenerator of high-duty-cycle pulses
TI Lakoba, JR Williams, M Vasilyev
Optics Express 19 (23), 23017-23028, 2011
122011
Zipf's law is a consequence of coherent language production
JR Williams, JP Bagrow, AJ Reagan, SE Alajajian, CM Danforth, ...
arXiv preprint arXiv:1601.07969, 2016
11*2016
Motivational interviewing conversational agent for parents as proxies for their children in healthy eating: development and user testing
D Smriti, TSA Kao, R Rathod, JY Shin, W Peng, J Williams, MI Mujib, ...
JMIR human factors 9 (4), e38908, 2022
92022
Context-sensitive recognition for emerging and rare entities
J Williams, G Santia
Proceedings of the 3rd Workshop on Noisy User-generated Text, 172-176, 2017
92017
Low-power, phase-preserving 2R amplitude regenerator
TI Lakoba, JR Williams, M Vasilyev
Optics Communications 285 (3), 331-337, 2012
92012
Identifying missing dictionary entries with frequency-conserving context models
JR Williams, EM Clark, JP Bagrow, CM Danforth, PS Dodds
Physical Review E 92 (4), 042808, 2015
82015
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