Writing moves and circulates in our world. With the ubiquity of digital mediation, audiences are now inherently participatory. As a consequence, what writers do after they publish matters as much as what they do before they publish. This circulation, and how it shapes writing processes, is what I study.
For example, academic researchers often use social media to promote their publications. Knowing that their work will appear on social media has an observable effect on what they will write and how they frame their research.
My research consequently reframes social media users, engineers, and scientists as writers, thereby stressing the composing practices of these contexts. This perspective also allows me to apply writing theory to digital artifacts and computational processes. To study circulation in this way, I typically combine qualitative research (interviewing, observations) with quantitative audience metrics and statistics.
I study ways writers contend with participatory audiences in the context networked technologies (e.g., social media). I specialize in qualitative research methods; in particular, case study methodologies. I also draw on quantitative methods, such as web-scraping and computational analysis, to study online comments and participatory audiences. I have recently begun exploring machine learning, including using it as a method to study social media writing as well as studying how scientists and researchers communicate about machine learning.
- BTW 250
- BTW 490
- ENGL 582
- ENGL 380
- ENGL 482
Additional Campus Affiliations
Associate Director, Center for Writing Studies, College of Liberal Arts and Sciences
Associate Professor, English
Gallagher, J. R. (2020). Update Culture and the Afterlife of Digital Writing. Utah State University Press. http://www.jstor.org/stable/j.ctvvh85pr
Gallagher, J. R., & DeVoss, D. N. (Eds.) (2019). Explanation Points: Publishing in Rhetoric and Composition. Utah State University Press.
Gallagher, J. R., Wysocka, A., & Holmes, S. (2023). Required Templates: An Assemblage Theory Analysis of How Template Character Limits Influence the Writing of DIY Online Grant Proposals. Technical Communication Quarterly, 32(1), 50-62. https://doi.org/10.1080/10572252.2021.2019318
Gallagher, J. R., & Beveridge, A. (2022). Project-Oriented Web Scraping in Technical Communication Research. Journal of Business and Technical Communication, 36(2), 231-250. https://doi.org/10.1177/10506519211064619
Ware, R., Mericle, M. E., Prior, P., Gallagher, J., Popovics, J. S., Elliott, C. M., Cooper, L., & Zilles, J. (2022). Promoting pedagogical change around writing: Observations of discursive turbulence. ASEE Annual Conference and Exposition, Conference Proceedings.
Zhu, J., Wickes, E., & Gallagher, J. R. (2021). A Machine Learning Algorithm for Sorting Online Comments via Topic Modeling. Communication Design Quarterly, 9(2), 4–14. https://doi.org/10.1145/3453460.3453462
Gallagher, J., Turnipseed, N., Yoritomo, J. Y., Elliott, C. M., Cooper, S. L., Popovics, J. S., Prior, P. A., & Zilles, J. (2020). A collaborative longitudinal design for supporting writing pedagogies of STEM faculty. Technical Communication Quarterly, 29(4), 411-426. https://doi.org/10.1080/10572252.2020.1713405