most citedIdentifying the Adoption or Rejection of Misinformation Targeting COVID-19 Vaccines in Twitter Discourse

15 citations · 28 across the 3 of their papers we have counts for

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cs.CL2022★ 12 cited

From Hesitancy Framings to Vaccine Hesitancy Profiles: A Journey of Stance, Ontological Commitments and Moral Foundations

Maxwell Weinzierl, Sanda Harabagiu

While billions of COVID-19 vaccines have been administered, too many people remain hesitant. Twitter, with its substantial reach and daily exposure, is an excellent resource for ex…

cs.CL2022

VaccineLies: A Natural Language Resource for Learning to Recognize Misinformation about the COVID-19 and HPV Vaccines

Maxwell Weinzierl, Sanda Harabagiu

Billions of COVID-19 vaccines have been administered, but many remain hesitant. Misinformation about the COVID-19 vaccines and other vaccines, propagating on social media, is belie…

cs.CL2022★ 15 cited

Identifying the Adoption or Rejection of Misinformation Targeting COVID-19 Vaccines in Twitter Discourse

Maxwell Weinzierl, Sanda Harabagiu

Although billions of COVID-19 vaccines have been administered, too many people remain hesitant. Misinformation about the COVID-19 vaccines, propagating on social media, is believed…

cs.CL2021★ 1 cited

The University of Texas at Dallas HLTRI's Participation in EPIC-QA: Searching for Entailed Questions Revealing Novel Answer Nuggets

Maxwell Weinzierl, Sanda M. Harabagiu

The Epidemic Question Answering (EPIC-QA) track at the Text Analysis Conference (TAC) is an evaluation of methodologies for answering ad-hoc questions about the COVID-19 disease. T…

cs.CL2021

Automatic Detection of COVID-19 Vaccine Misinformation with Graph Link Prediction

Maxwell A. Weinzierl, Sanda M. Harabagiu

Enormous hope in the efficacy of vaccines became recently a successful reality in the fight against the COVID-19 pandemic. However, vaccine hesitancy, fueled by exposure to social…