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All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year Sort by creator [A → Z]' creator [Z → A]' publishing year ↑ (asc)' publishing year ↓ (desc)' title [A → Z]' title [Z → A]' Simple Search Hits 1 – 4 of 4 1 Characterizing COVID-19 Misinformation Communities Using a Novel Twitter Dataset ... Memon, Shahan Ali; Carley, Kathleen M.. - : arXiv, 2020 BASE Show details 2 CMU-MisCov19: A Novel Twitter Dataset for Characterizing COVID-19 Misinformation ... Memon, Shahan Ali; Carley, Kathleen M.. - : Zenodo, 2020 BASE Show details 3 Characterizing Sociolinguistic Variation in the Competing Vaccination Communities ... Memon, Shahan Ali; Tyagi, Aman; Mortensen, David R.; Carley, Kathleen M.. - : arXiv, 2020 Abstract: Public health practitioners and policy makers grapple with the challenge of devising effective message-based interventions for debunking public health misinformation in cyber communities. "Framing" and "personalization" of the message is one of the key features for devising a persuasive messaging strategy. For an effective health communication, it is imperative to focus on "preference-based framing" where the preferences of the target sub-community are taken into consideration. To achieve that, it is important to understand and hence characterize the target sub-communities in terms of their social interactions. In the context of health-related misinformation, vaccination remains to be the most prevalent topic of discord. Hence, in this paper, we conduct a sociolinguistic analysis of the two competing vaccination communities on Twitter: "pro-vaxxers" or individuals who believe in the effectiveness of vaccinations, and "anti-vaxxers" or individuals who are opposed to vaccinations. Our data analysis show ... : 11 pages, 4 tables, 1 figure, 1 algorithm, accepted to SBP-BRiMS 2020 -- International Conference on Social Computing, Behavioral-Cultural Modeling & Prediction and Behavior Representation in Modeling and Simulation ... Keyword: Computation and Language cs.CL; FOS Computer and information sciences; Social and Information Networks cs.SI URL: https://arxiv.org/abs/2006.04334 https://dx.doi.org/10.48550/arxiv.2006.04334 BASE Hide details 4 CMU-MisCov19: A Novel Twitter Dataset for Characterizing COVID-19 Misinformation ... Memon, Shahan Ali; Carley, Kathleen M.. - : Zenodo, 2020 BASE Show details

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