File Download

There are no files associated with this item.

  Links for fulltext
     (May Require Subscription)
Supplementary

Article: Comparing the #StopTheSteal Movement across Multiple Platforms: Differentiating Discourse on Facebook, Twitter, and Parler

TitleComparing the #StopTheSteal Movement across Multiple Platforms: Differentiating Discourse on Facebook, Twitter, and Parler
Authors
Keywordscollective action frames
digital platforms
far-right
framing
political communication
social media
social movement
Issue Date2023
Citation
Social Media and Society, 2023, v. 9, n. 3 How to Cite?
AbstractGiven that political groups are dispersed across platforms, resulting in different discourses, there is a need for more studies comparing communication across platforms. In this study, we compared posts about #StopTheSteal from three social media platforms after the 2020 US Presidential election and preceding the January 6 Capitol Riot. To do so, we utilized Snow and Benford’s typology of social movement frames—diagnostic, prognostic, and motivational frames—in the context of far-right movements and an additional frame device: violence cues. This study focused on the following three social media platforms: Facebook, Twitter, and Parler. We built three corpora of social media data: 26,093 Facebook posts, 248,643 tweets, and 400,600 Parler posts. Using Bidirectional Encoder Representations from Transformers (BERT) classifiers, dictionary methods, and qualitative text analysis, we find that the use of these frames varies by platform, with users on the alt-tech platform Parler using violence cues such as “smash” and “combat,” suggesting a greater call to action relative to the mainstream platforms.
Persistent Identifierhttp://hdl.handle.net/10722/349963

 

DC FieldValueLanguage
dc.contributor.authorChen, Bin-
dc.contributor.authorLukito, Josephine-
dc.contributor.authorKoo, Gyo Hyun-
dc.date.accessioned2024-10-17T07:02:09Z-
dc.date.available2024-10-17T07:02:09Z-
dc.date.issued2023-
dc.identifier.citationSocial Media and Society, 2023, v. 9, n. 3-
dc.identifier.urihttp://hdl.handle.net/10722/349963-
dc.description.abstractGiven that political groups are dispersed across platforms, resulting in different discourses, there is a need for more studies comparing communication across platforms. In this study, we compared posts about #StopTheSteal from three social media platforms after the 2020 US Presidential election and preceding the January 6 Capitol Riot. To do so, we utilized Snow and Benford’s typology of social movement frames—diagnostic, prognostic, and motivational frames—in the context of far-right movements and an additional frame device: violence cues. This study focused on the following three social media platforms: Facebook, Twitter, and Parler. We built three corpora of social media data: 26,093 Facebook posts, 248,643 tweets, and 400,600 Parler posts. Using Bidirectional Encoder Representations from Transformers (BERT) classifiers, dictionary methods, and qualitative text analysis, we find that the use of these frames varies by platform, with users on the alt-tech platform Parler using violence cues such as “smash” and “combat,” suggesting a greater call to action relative to the mainstream platforms.-
dc.languageeng-
dc.relation.ispartofSocial Media and Society-
dc.subjectcollective action frames-
dc.subjectdigital platforms-
dc.subjectfar-right-
dc.subjectframing-
dc.subjectpolitical communication-
dc.subjectsocial media-
dc.subjectsocial movement-
dc.titleComparing the #StopTheSteal Movement across Multiple Platforms: Differentiating Discourse on Facebook, Twitter, and Parler-
dc.typeArticle-
dc.description.naturelink_to_subscribed_fulltext-
dc.identifier.doi10.1177/20563051231196879-
dc.identifier.scopuseid_2-s2.0-85171444205-
dc.identifier.volume9-
dc.identifier.issue3-
dc.identifier.eissn2056-3051-

Export via OAI-PMH Interface in XML Formats


OR


Export to Other Non-XML Formats