Measuring vaccination coverage and concerns of vaccine holdouts from web search logs

S Chang, A Fourney, E Horvitz - Nature Communications, 2024 - nature.com
To design effective vaccine policies, policymakers need detailed data about who has been
vaccinated, who is holding out, and why. However, existing data in the US are insufficient …

[HTML][HTML] CrisisTransformers: Pre-trained language models and sentence encoders for crisis-related social media texts

R Lamsal, MR Read, S Karunasekera - Knowledge-Based Systems, 2024 - Elsevier
Social media platforms play an essential role in crisis communication, but analysing crisis-
related social media texts is challenging due to their informal nature. Transformer-based pre …

[HTML][HTML] Topics in antivax and provax discourse: yearlong synoptic study of COVID-19 vaccine tweets

Z Zaidi, M Ye, F Samon, A Jama… - Journal of Medical …, 2023 - jmir.org
Background Develo** an understanding of the public discourse on COVID-19 vaccination
on social media is important not only for addressing the ongoing COVID-19 pandemic but …

Caves: A dataset to facilitate explainable classification and summarization of concerns towards covid vaccines

S Poddar, AM Samad, R Mukherjee… - Proceedings of the 45th …, 2022 - dl.acm.org
Convincing people to get vaccinated against COVID-19 is a key societal challenge in the
present times. As a first step towards this goal, many prior works have relied on social media …

[HTML][HTML] Dynamics of the negative discourse toward COVID-19 vaccines: topic modeling study and an annotated data set of Twitter posts

G Lindelöf, T Aledavood, B Keller - Journal of Medical Internet Research, 2023 - jmir.org
Background: Since the onset of the COVID-19 pandemic, vaccines have been an important
topic in public discourse. The discussions around vaccines are polarized, as some see them …

Vaxxhesitancy: A dataset for studying hesitancy towards covid-19 vaccination on twitter

Y Mu, M **, C Grimshaw, C Scarton… - Proceedings of the …, 2023 - ojs.aaai.org
Vaccine hesitancy has been a common concern, probably since vaccines were created and,
with the popularisation of social media, people started to express their concerns about …

[HTML][HTML] Synergy between public and private health care organizations during COVID-19 on twitter: Sentiment and engagement analysis using forecasting models

A Singhal, MK Baxi, V Mago - JMIR Medical Informatics, 2022 - medinform.jmir.org
Background: Social media platforms (SMPs) are frequently used by various pharmaceutical
companies, public health agencies, and nongovernment organizations (NGOs) for …

Navigating prompt complexity for zero-shot classification: A study of large language models in computational social science

Y Mu, BP Wu, W Thorne, A Robinson, N Aletras… - arxiv preprint arxiv …, 2023 - arxiv.org
Instruction-tuned Large Language Models (LLMs) have exhibited impressive language
understanding and the capacity to generate responses that follow specific prompts …

Investigating the validity of botometer-based social bot studies

F Gallwitz, M Kreil - … International Symposium on Disinformation in Open …, 2022 - Springer
The idea that social media platforms like Twitter are inhabited by vast numbers of social bots
has become widely accepted in recent years. Social bots are assumed to be automated …

Off-label drug use during the COVID-19 pandemic in Africa: topic modelling and sentiment analysis of ivermectin in South Africa and Nigeria as a case study

Z Movahedi Nia, NL Bragazzi… - Journal of the …, 2023 - royalsocietypublishing.org
Although rejected by the World Health Organization, the human and even veterinary
formulation of ivermectin has widely been used for prevention and treatment of COVID-19. In …