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 | 473 | 2015 |
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 | 136 | 2016 |
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 | 128 | 2018 |
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 | 121* | 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 | 92 | 2016 |
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 | 74 | 2015 |
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 | 47 | 2019 |
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 | 43 | 2017 |
Text mixing shapes the anatomy of rank-frequency distributions JR Williams, JP Bagrow, CM Danforth, PS Dodds Physical Review E 91 (5), 052811, 2015 | 43 | 2015 |
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 | 29* | 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 | 21 | 2017 |
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 | 14 | 2021 |
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 | 14 | 2017 |
NALM-based, phase-preserving 2R regenerator of high-duty-cycle pulses TI Lakoba, JR Williams, M Vasilyev Optics Express 19 (23), 23017-23028, 2011 | 12 | 2011 |
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 |
Low-power, phase-preserving 2R amplitude regenerator TI Lakoba, JR Williams, M Vasilyev Optics Communications 285 (3), 331-337, 2012 | 9 | 2012 |
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 | 8 | 2015 |
Reply to Garcia et al.: Common mistakes in measuring frequency-dependent word characteristics PS Dodds, EM Clark, S Desu, MR Frank, AJ Reagan, JR Williams, ... Proceedings of the National Academy of Sciences 112 (23), E2984-E2985, 2015 | 8 | 2015 |
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 | 7 | 2022 |