Extinction Rebellion Finland (Elokapina) Post-Repression Twitter Activity and Network Patterns

dc.contributor.affiliationGeorge Mason University - Chen, Ted Hsuan Yun
dc.contributor.affiliationUniversity of Helsinki - Savolainen, Sonja
dc.contributor.affiliationUniversity of Helsinki - Saarinen, Ville P.
dc.contributor.authorChen, Ted Hsuan Yun
dc.contributor.authorSavolainen, Sonja
dc.contributor.authorSaarinen, Ville P.
dc.date.accessioned2025-03-24T15:15:31Z
dc.date.issued2024-07-24
dc.date.issued2024-07-24
dc.descriptionOverview This repository contains two time series data sets of activity levels and network patterns on Finnish climate Twitter for the period of July 18, 2020 to February 11, 2022. First, there is a day-level data set (574 days) containing Twitter activity levels of climate activists and non-activists. Second, there is a week-level data set (81 weeks) containing estimated coefficients for various network effects from exponential random graph models (ERGM) fit to retweet networks. For details, including definitions of activist/non-activist and the ERGM specifications, please see the referenced work: "Social Media Affordances Sustain Social Movements Facing Repression: Evidence from Climate Activism", detailed below.   Data Set Details `raw_daily_counts.csv` contains the following variables at the day level. date: from 2020-07-25 to 2022-02-11 activity_activist: the daily activity count of activist users on Finnish climate Twitter activity_nonactivist: the daily activity count of non-activist users on Finnish climate Twitter users_activist: the daily count of activist users on Finnish climate Twitter users_nonactivist: the daily count of non-activist users on Finnish climate Twitter `weekly_ERGM_coefficients.csv` contains a subset of estimated coefficients from ERGMs of weekly retweet networks from Finnish climate Twitter. The data set contains the following variables (coefficients), not all of which are from the same model specification. week: starting with week 2 (2020-07-25 to 2020-07-31) and ending with week 82 (2022-02-05 to 2022-02-11) political_activity_activist: activists retweeting politically relevant users political_activity_nonactivist: non-activists retweeting politically relevant users gwidegree0_activist: geometrically weighted in-degree (decay = 0) for the activist subnetwork gwidegree0_nonactivist: geometrically weighted in-degree (decay = 0) for the non-activist subnetwork gwidegree0_activistsub_thresh3: geometrically weighted in-degree (decay = 0) for the activist subnetwork with an activity level requirement for activists gwidegree0_activistsub_thresh4: geometrically weighted in-degree (decay = 0) for the activist subnetwork with an activity level requirement for activists gwidegree0_activistsub_thresh5: geometrically weighted in-degree (decay = 0) for the activist subnetwork with an activity level requirement for activists gwidegree0_activistsub_thresh6: geometrically weighted in-degree (decay = 0) for the activist subnetwork with an activity level requirement for activists gwidegree0_activistsub_thresh7: geometrically weighted in-degree (decay = 0) for the activist subnetwork with an activity level requirement for activists gwidegree0_activistsub_thresh8: geometrically weighted in-degree (decay = 0) for the activist subnetwork with an activity level requirement for activists gwidegree0_activistsub_thresh9: geometrically weighted in-degree (decay = 0) for the activist subnetwork with an activity level requirement for activists   References Please reference the original study when using this data set.Savolainen, Sonja, Ville P. Saarinen, and Ted Hsuan Yun Chen. 2024. “Social Media Affordances Sustain Social Movements Facing Repression: Evidence from Climate Activism.” doi:10.31235/osf.io/p4yvk.
dc.identifierhttps://doi.org/10.5281/zenodo.12754898
dc.identifier.urihttps://hydatakatalogi-test-24.it.helsinki.fi/handle/123456789/9770
dc.rightsOpen
dc.rights.licensecc-by-4.0
dc.titleExtinction Rebellion Finland (Elokapina) Post-Repression Twitter Activity and Network Patterns
dc.typedataset
dc.typedataset