To answer ethical challenges <?biblio ADDIN paperpile_citation <clusterId>I257W517L898P628</clusterId><version>0.6.12</version><metadata><citation><id>2ecfeae2-bc01-4f67-99b5-5ed7ed49cb16</id><no_author/><prefix/><suffix/><locator/><locator_label>page</locator_label></citation><citation><id>faa9512f-6859-4ff4-a510-dd1881bd9eea</id><no_author/><prefix/><suffix/><locator/><locator_label>page</locator_label></citation><citation><id>df239194-d156-4557-a9c5-02c9518b7a1b</id><no_author/><prefix/><suffix/><locator/><locator_label>page</locator_label></citation><citation><id>116294a5-1312-4592-bb3c-688a8648b384</id><no_author/><prefix/><suffix/><locator/><locator_label>page</locator_label></citation></metadata> /* MERGEFORMAT?>(Bainotti et al., 2020; Franzke et al., 2020; McCrow-Young, 2021; Zimmer, 2010), we decided to acquire our corpus employing different methods for different target groups: a) political actors and influencers whose profiles are public, b) members of the public, whose profiles may not be public, and thus their stories are intended for a small group of people only, while they expect the ephemeral content to expire. To answer this challenge, we collected our corpus: a) using a custom-made scraper, b) crowdsourcing codings of stories through a browser plugin.