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  COVID-19 Attitudes Among Social Media Users in Greece

Gemenis, K. (2021). COVID-19 Attitudes Among Social Media Users in Greece. Harvard Dataverse. doi:10.7910/DVN/FGMNNF.

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Item Permalink: https://hdl.handle.net/21.11116/0000-000A-5930-C Version Permalink: https://hdl.handle.net/21.11116/0000-000C-4634-B
Genre: Data Publication

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Locator:
https://doi.org/10.7910/DVN/FGMNNF (Research data)
Description:
Dataset
OA-Status:
Not specified
Locator:
http://hdl.handle.net/21.11116/0000-0008-B9AA-8 (Supplementary material)
Description:
Related publication: Gemenis, Kostas (2021). Explaining Conspiracy Beliefs and Scepticism around the COVID-19 Pandemic. Swiss Political Science Review, 27(2), 229-242.
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Not specified
Locator:
https://hdl.handle.net/21.11116/0000-000B-EEBF-3 (Supplementary material)
Description:
Related publication: Gemenis, Kostas (2022). COVID-19 Conspiracy Beliefs and Vaccination Intentions among Social Media Users. Statistics, Politics and Policy, 13(3), 279-296.
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 Creators:
Gemenis, Kostas1, Author           
Affiliations:
1Politische Ökonomie von Wachstumsmodellen, MPI for the Study of Societies, Max Planck Society, ou_2489691              

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Free keywords: Medicine, Health and Life Sciences; Social Sciences
 Abstract: The dataset contains responses from two web surveys (fieldwork: 1-8 April and 13-20 May 2020 respectively) in Greece. The participants were invited to complete the survey via announcements and advertisements on social media. The surveys included questions taken from the European Social Survey, as well as batteries of questions on attitudes related to the COVID-19 pandemic, political knowledge, and health literacy. The dataset includes entropy balancing weights calculated using a reference sample from a nationally representative telephone survey.

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Language(s): eng - English
 Dates: 2021-05-06
 Publication Status: Published online
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Type: -
 Identifiers: DOI: 10.7910/DVN/FGMNNF
 Degree: -

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Title: Harvard Dataverse
Source Genre: Web Page
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Pages: - Volume / Issue: - Sequence Number: - Start / End Page: - Identifier: -