<?xml version='1.0' encoding='UTF-8'?><metadata xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:dcterms="http://purl.org/dc/terms/" xmlns="http://dublincore.org/documents/dcmi-terms/"><dcterms:title>Replication Data for: Climate Nags: Affect and the Convergence of Global Risk in Online Networks</dcterms:title><dcterms:identifier>https://doi.org/10.18710/G1CIXA</dcterms:identifier><dcterms:creator>Robinson, Jessica Yarin</dcterms:creator><dcterms:publisher>DataverseNO</dcterms:publisher><dcterms:issued>2023-07-12</dcterms:issued><dcterms:modified>2023-09-28T21:09:30Z</dcterms:modified><dcterms:description>This data set contains the IDs of the 1,186,322 tweets used in "Climate Nags: Affect and the Convergence of Global Risk in Online Networks" (published in Continuum, 2023). The data was collected from Twitter's Streaming API using the DMI-TCAT during the first four months of the Coronavirus pandemic; 2020 U.S. presidential race; and the early stages of the 2022 Russia–Ukraine War. These collections were then filtered based on key words related to climate change (see README file for more details).</dcterms:description><dcterms:subject>Arts and Humanities</dcterms:subject><dcterms:subject>Earth and Environmental Sciences</dcterms:subject><dcterms:subject>Social Sciences</dcterms:subject><dcterms:subject>climate</dcterms:subject><dcterms:subject>Twitter</dcterms:subject><dcterms:subject>social media</dcterms:subject><dcterms:subject>global warming</dcterms:subject><dcterms:subject>sentiment</dcterms:subject><dcterms:subject>tweets</dcterms:subject><dcterms:isReferencedBy>"Climate Nags: Affect and the Convergence of Global Risk in Online Networks," Continuum, 2023, issn, 1469-3666, https://www.tandfonline.com/journals/ccon20</dcterms:isReferencedBy><dcterms:date>2023-07-12</dcterms:date><dcterms:contributor>Robinson, Jessica Yarin</dcterms:contributor><dcterms:dateSubmitted>2023-07-12</dcterms:dateSubmitted><dcterms:license>CC0 1.0</dcterms:license></metadata>