activity
20142024
most citedLLM-Assisted Content Analysis: Using Large Language Models to Support Deductive Coding

69 citations · 140 across the 5 of their papers we have counts for

collaborators

5 papers

cs.SI2024★ 1 cited

Effects of Antivaccine Tweets on COVID-19 Vaccinations, Cases, and Deaths

John Bollenbacher, Filippo Menczer, John Bryden

Despite the wide availability of COVID-19 vaccines in the United States and their effectiveness in reducing hospitalizations and mortality during the pandemic, a majority of Americ…

cs.CL2023★ 69 cited

LLM-Assisted Content Analysis: Using Large Language Models to Support Deductive Coding

Robert Chew, John Bollenbacher, Michael Wenger +2

Deductive coding is a widely used qualitative research method for determining the prevalence of themes across documents. While useful, deductive coding is often burdensome and time…

cs.SI2021

CoVaxxy: A Collection of English-language Twitter Posts About COVID-19 Vaccines

Matthew R. DeVerna, Francesco Pierri, Bao Tran Truong +7

With a substantial proportion of the population currently hesitant to take the COVID-19 vaccine, it is important that people have access to accurate information. However, there is…

cs.MA2019★ 12 cited

Massive Multi-Agent Data-Driven Simulations of the GitHub Ecosystem

Jim Blythe, John Bollenbacher, Di Huang +12

Simulating and predicting planetary-scale techno-social systems poses heavy computational and modeling challenges. The DARPA SocialSim program set the challenge to model the evolut…

astro-ph.HE2014★ 58 cited

NuSTAR Reveals the Comptonizing Corona of the Broad-Line Radio Galaxy 3C 382

D. R. Ballantyne, J. M. Bollenbacher, L. W. Brenneman +14

Broad-line radio galaxies (BLRGs) are active galactic nuclei that produce powerful, large-scale radio jets, but appear as Seyfert 1 galaxies in their optical spectra. In the X-ray…