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- Publisher Website: 10.1080/19331681.2025.2468948
- Scopus: eid_2-s2.0-105008513856
- WOS: WOS:001427423100001
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Article: Far-right conspiracies and online engagement: how #StopTheSteal leveraged moral appeals, group identity, and #BlackLivesMatter to capture audience attention on Parler
| Title | Far-right conspiracies and online engagement: how #StopTheSteal leveraged moral appeals, group identity, and #BlackLivesMatter to capture audience attention on Parler |
|---|---|
| Authors | |
| Keywords | Conspiracy theories discursive opportunity structure far-right extremism group identity hashtag moral appeals Stop the Steal |
| Issue Date | 21-Feb-2025 |
| Publisher | Taylor and Francis Group |
| Citation | Journal of Information Technology & Politics, 2025 How to Cite? |
| Abstract | This study explores the strategic spread of conspiracy theories by far-right groups during the “Stop the Steal” election denial rallies, focusing on their online efforts to undermine the Black Lives Matter movement. Based on the Discursive Opportunity Structure framework, we conducted a computer-assisted content analysis of Parler posts (N = 9,714), supplemented with qualitative textual analysis. We analyzed three key messaging strategies that promoted the “Stop the Steal” messages: leveraging hashtags for visibility, making moral appeals to establish legitimacy, and using group identity markers to enhance resonance. Our findings reveal that the integration of in-group identity cues with appeals to moral virtue (morally right), as well as pairing the #BLM hashtag with moral vice (morally wrong), generates greater attention from social media users. We discuss the implications of these findings as reflections of entrenched racism in the post-truth era. |
| Persistent Identifier | http://hdl.handle.net/10722/358190 |
| ISSN | 2023 Impact Factor: 2.6 2023 SCImago Journal Rankings: 1.107 |
| ISI Accession Number ID |
| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | Koo, Gyo Hyun | - |
| dc.contributor.author | Chen, Bin | - |
| dc.date.accessioned | 2025-07-25T00:30:38Z | - |
| dc.date.available | 2025-07-25T00:30:38Z | - |
| dc.date.issued | 2025-02-21 | - |
| dc.identifier.citation | Journal of Information Technology & Politics, 2025 | - |
| dc.identifier.issn | 1933-1681 | - |
| dc.identifier.uri | http://hdl.handle.net/10722/358190 | - |
| dc.description.abstract | This study explores the strategic spread of conspiracy theories by far-right groups during the “Stop the Steal” election denial rallies, focusing on their online efforts to undermine the Black Lives Matter movement. Based on the Discursive Opportunity Structure framework, we conducted a computer-assisted content analysis of Parler posts (N = 9,714), supplemented with qualitative textual analysis. We analyzed three key messaging strategies that promoted the “Stop the Steal” messages: leveraging hashtags for visibility, making moral appeals to establish legitimacy, and using group identity markers to enhance resonance. Our findings reveal that the integration of in-group identity cues with appeals to moral virtue (morally right), as well as pairing the #BLM hashtag with moral vice (morally wrong), generates greater attention from social media users. We discuss the implications of these findings as reflections of entrenched racism in the post-truth era. | - |
| dc.language | eng | - |
| dc.publisher | Taylor and Francis Group | - |
| dc.relation.ispartof | Journal of Information Technology & Politics | - |
| dc.subject | Conspiracy theories | - |
| dc.subject | discursive opportunity structure | - |
| dc.subject | far-right extremism | - |
| dc.subject | group identity | - |
| dc.subject | hashtag | - |
| dc.subject | moral appeals | - |
| dc.subject | Stop the Steal | - |
| dc.title | Far-right conspiracies and online engagement: how #StopTheSteal leveraged moral appeals, group identity, and #BlackLivesMatter to capture audience attention on Parler | - |
| dc.type | Article | - |
| dc.identifier.doi | 10.1080/19331681.2025.2468948 | - |
| dc.identifier.scopus | eid_2-s2.0-105008513856 | - |
| dc.identifier.eissn | 1933-169X | - |
| dc.identifier.isi | WOS:001427423100001 | - |
| dc.identifier.issnl | 1933-169X | - |
