Human language reveals a universal positivity bias. - Peter Sheridan Dodds; Eric M. Clark; Suma Desu; Morgan R. Frank; Andrew J. Reagan; Jake Ryland Williams; Lewis Mitchell; Kameron Decker Harris; Isabel M. Kloumann; James P. Bagrow; Karine Megerdoomian; Matthew T. McMahon; et al. (CoRR, 2014)

Constructing a taxonomy of fine-grained human movement and activity motifs through social media. - Morgan R. Frank; Jake Ryland Williams; Lewis Mitchell; James P. Bagrow; Peter Sheridan Dodds; Christopher M. Danforth (CoRR, 2014)

Text mixing shapes the anatomy of rank-frequency distributions: A modern Zipfian mechanics for natural language. - Jake Ryland Williams; James P. Bagrow; Christopher M. Danforth; Peter Sheridan Dodds (CoRR, 2014)

Zipf's law holds for phrases, not words. - Jake Ryland Williams; Paul R. Lessard; Suma Desu; Eric M. Clark; James P. Bagrow; Christopher M. Danforth; Peter Sheridan Dodds (CoRR, 2014)

The Lexicocalorimeter: Gauging public health through caloric input and output on social media. - Sharon E. Alajajian; Jake Ryland Williams; Andrew J. Reagan; Stephen C. Alajajian; Morgan R. Frank; Lewis Mitchell; Jacob Lahne; Christopher M. Danforth; Peter Sheridan Dodds (CoRR, 2015)

Vaporous Marketing: Uncovering Pervasive Electronic Cigarette Advertisements on Twitter. - Eric M. Clark; Chris A. Jones; Jake Ryland Williams; Allison N. Kurti; Michell Craig Nortotsky; Christopher M. Danforth; Peter Sheridan Dodds (CoRR, 2015)

Reply to Garcia et al.: Common mistakes in measuring frequency dependent word characteristics. - Peter Sheridan Dodds; Eric M. Clark; Suma Desu; Morgan R. Frank; Andrew J. Reagan; Jake Ryland Williams; Lewis Mitchell; Kameron Decker Harris; Isabel M. Kloumann; James P. Bagrow; Karine Megerdoomian; Matthew T. McMahon; et al. (CoRR, 2015)

Benchmarking sentiment analysis methods for large-scale texts: A case for using continuum-scored words and word shift graphs. - Andrew J. Reagan; Brian F. Tivnan; Jake Ryland Williams; Christopher M. Danforth; Peter Sheridan Dodds (CoRR, 2015)

Identifying missing dictionary entries with frequency-conserving context models. - Jake Ryland Williams; Eric M. Clark; James P. Bagrow; Christopher M. Danforth; Peter Sheridan Dodds (CoRR, 2015)

Selection models of language production support informed text partitioning: an intuitive and practical, bag-of-phrases framework for text analysis. - Jake Ryland Williams; James P. Bagrow; Andrew J. Reagan; Sharon E. Alajajian; Christopher M. Danforth; Peter Sheridan Dodds (CoRR, 2016)

Sifting robotic from organic text: A natural language approach for detecting automation on Twitter. - Eric M. Clark; Jake Ryland Williams; Chris A. Jones; Richard A. Galbraith; Christopher M. Danforth; Peter Sheridan Dodds (J. Comput. Sci., 2016)

Boundary-based MWE segmentation with text partitioning. - Jake Ryland Williams (NUT@EMNLP, 2017)

Context-Sensitive Recognition for Emerging and Rare Entities. - Jake Ryland Williams; Giovanni C. Santia (NUT@EMNLP, 2017)

A Computational Framework for Multi-Modal Social Action Identification. - Jason Anastasopoulos; Jake Ryland Williams (CoRR, 2017)

Is space a word, too? - Jake Ryland Williams; Giovanni C. Santia (CoRR, 2017)

Sentiment analysis methods for understanding large-scale texts: a case for using continuum-scored words and word shift graphs. - Andrew J. Reagan; Christopher M. Danforth; Brian F. Tivnan; Jake Ryland Williams; Peter Sheridan Dodds (EPJ Data Sci., 2017)

Expanding Consumer Health Vocabularies with Frequency-Conserving Internal Context Models. - Munif Ishad Mujib; Christopher C. Yang; Mengnan Zhao; Jake Ryland Williams (ICHI, 2018)

BuzzFace: A News Veracity Dataset with Facebook User Commentary and Egos. - Giovanni C. Santia; Jake Ryland Williams (ICWSM, 2018)

Detecting Social Bots on Facebook in an Information Veracity Context. - Giovanni C. Santia; Munif Ishad Mujib; Jake Ryland Williams (ICWSM, 2019)

TAMICA: Tailorable Autonomous Motivational Interviewing Conversational Agent. - Diva Smriti; Ji Youn Shin; Munif Ishad Mujib; Meghan Colosimo; Tsui-Sui Kao; Jake Ryland Williams; Jina Huh-Yoo (PervasiveHealth, 2020)

NewsTweet: A Dataset of Social Media Embedding in Online Journalism. - Munif Ishad Mujib; Hunter Scott Heidenreich; Colin J. Murphy; Giovanni C. Santia; Asta Zelenkauskaite; Jake Ryland Williams (CoRR, 2020)

Investigating Coordinated 'Social' Targeting of High-Profile Twitter Accounts. - Hunter Scott Heidenreich; Munif Ishad Mujib; Jake Ryland Williams (CoRR, 2020)

A general solution to the preferential selection model. - Jake Ryland Williams; Diana Solano-Oropeza; Jacob R. Hunsberger (CoRR, 2020)

The Earth Is Flat and the Sun Is Not a Star: The Susceptibility of GPT-2 to Universal Adversarial Triggers. - Hunter Scott Heidenreich; Jake Ryland Williams (AIES, 2021)

An Evaluation of Generative Pre-Training Model-based Therapy Chatbot for Caregivers. - Lu Wang 036; Munif Ishad Mujib; Jake Ryland Williams; George Demiris; Jina Huh-Yoo (CoRR, 2021)

To Know by the Company Words Keep and What Else Lies in the Vicinity. - Jake Ryland Williams; Hunter Scott Heidenreich (CoRR, 2022)

EigenNoise: A Contrastive Prior to Warm-Start Representations. - Hunter Scott Heidenreich; Jake Ryland Williams (CoRR, 2022)

Which Tweets 'Deserve' to be Included in News Stories? Chronemics of Tweet Embedding. - Munif Ishad Mujib; Asta Zelenkauskaite; Jake Ryland Williams (HICSS, 2023)

Reducing the Need for Backpropagation and Discovering Better Optima With Explicit Optimizations of Neural Networks. - Jake Ryland Williams; Haoran Zhao (CoRR, 2023)

Explicit Foundation Model Optimization with Self-Attentive Feed-Forward Neural Units. - Jake Ryland Williams; Haoran Zhao (CoRR, 2023)

Bit Cipher - A Simple yet Powerful Word Representation System that Integrates Efficiently with Language Models. - Haoran Zhao; Jake Ryland Williams (CoRR, 2023)

You Have the Floor: A Speaker-Aligned Corpus Derived from the Congressional Record. - Jennifer L. Bochenek; Jake Ryland Williams (ICWSM, 2025)