Digital technologies, dysfunctional movement-party dynamics and the threat to democracyRohlinger, Deana A.
doi: 10.1080/1369118X.2021.2020871pmid: N/A
On 6 January 2021, the world watched as Donald Trump’s supporters stormed the US Capitol. However, in this paper, I argue that social scientists should not simply focus on Trump or the Republicans who have supported his false claims that the presidency was stolen from him. Instead, researchers need to leverage the insights provided by sociology, political science and information studies and communication to unpack the increasingly dysfunctional movement-party dynamics in the US, which not only made the 6 January riots possible but continue to erode democratic processes. Here, I outline four developments over the last thirty years that help account for the contemporary political moment and underscore the role of digital technologies in these developments.
Cloaked science: the Yan reportsNilsen, Jennifer; Donovan, Joan; Faris, Rob
doi: 10.1080/1369118X.2022.2027501pmid: N/A
This paper describes a 2020 disinformation campaign promoting the unsubstantiated claim that the novel coronavirus is the product of a Chinese bioweapons program. Exploiting a vulnerability in open-access scientific publishing, the campaign was based on papers posted to an online preprint repository designed to accelerate the diffusion of scientific knowledge. This provided the campaign with an air of scientific legitimacy, helped it reach millions of Americans, and muddied public discourse over the origins of SARS-CoV-2. This case study offers insights into the tactics and practices of media manipulation, the contested nature of modern epistemic systems, the interplay of technical and social systems, and the vulnerability of open systems to manipulation.
Framing dynamics and claimsmaking after the Parkland shootingRohlinger, Deana A.; Allen, Warren; DeLucchi, Caitria
doi: 10.1080/1369118X.2021.2021271pmid: N/A
This paper unpacks how dynamic political and media systems shape the kinds of frames political actors champion, when and how they express support for frames and the implications of both for individual claimsmaking. To do so, we conduct a rigorous qualitative analysis of discourse during a two-week period in which the Florida legislature considered and passed the Marjory Stoneman Douglas High School Public Safety Act after a shooter killed 17 people in Parkland, Florida. We systematically explore how two framing dynamics – competition and amplification – shape what frames political actors champion and the relative effects of these dynamics on individual claimsmaking in 438 letters to the editor and op-eds appearing in mainstream outlets, 4,962 emails sent to Florida Governor Rick Scott, and 1,000 tweets. We find that amplification and competition shape the relative visibility of frames and the frequency with which individuals use these frames in their claimsmaking. Generally speaking, gun control and progressive groups selectively amplified frames associated with the emerging, student-led Never Again Marjory Stoneman Douglas movement and legislative frames that were consistent with their goals. This seems to have increased the visibility of these ideas in mainstream outlets and influenced claimsmaking insofar as individuals drew on amplified frames across the forums relatively frequently. This was not true of frames opposing gun control. Gun rights groups bickered with politicians and among themselves. As a result, gun rights frames were less prevalent in mainstream discourse and in individual claimsmaking.
Sounds like meritocracy to my ears: exploring the link between inequality in popular music and personal cultureCarbone, Luca; Mijs, Jonathan
doi: 10.1080/1369118X.2021.2020870pmid: N/A
Extant research documents the impact of meritocratic narratives in news media that justify economic inequality. This paper inductively explores whether popular music is a source of cultural frames about inequality. We construct an original dataset combining user data from Spotify with lyrics from Genius and employ unsupervised computational text analysis to classify the content of the 3,660 most popular songs across 23 European countries. Drawing on Lizardo’s enculturation framework, we analyze lyrics through the lens of public culture and explore their link with individual beliefs as a reflection of personal culture. We find that, in more unequal societies, songs that frame inequalities as a structural issue (lyrics about ‘Struggle’ or omnipresent ‘Risks’) are more popular than those adopting a meritocratic frame (songs we describe as ‘Bragging Rights’ or those telling a ‘Rags to Riches’ tale). Moreover, we find that the presence in public culture of a certain frame is associated with the expression of frame-consistent individual beliefs about inequality. We conclude by reflecting on the promise of automatic text classification for the study of lyrics, the theorized role of popular music in the study of culture, and by proposing venues for future research.