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This study draws on networked framing and intermedia network agenda-setting theories to examine how different informational actors have framed the March for Our Lives gun control movement in 2018.
https://scholarspace.manoa.hawaii.edu/handle/10125/79730?mode=simpleThis article explores the efficacy of the URLs dataset to answer key social science questions as well as lessons for the use of differential privacy and censorship in the release of this type of dataset. The article explores the question, how much fake and not-fake URL content do users click on from Facebook?
https://misinforeview.hks.harvard.edu/article/research-note-examining-potential-bias-in-large-scale-censored-data/This study uses the URLs dataset to analyze exposure to and sharing of news from fake news publishers, purveyors of clickbait, and news about politics. The results support recent findings that fake news is more likely to be shared by older conservatives, that fake news is much more prevalent on Facebook than previously indicated, and fake news articles with central claims that are political are more popular among older Americans than those with clickbait headlines.
https://journalqd.org/article/view/2586/1822This study leverages the URLs dataset to examine the age component of political polarization (that older people are more polarized and more conservative). The authors’ hypotheses explain two processes: social conditions seem to be making older people more engaged on Facebook regardless of the content, and older people are engaging more intensely with partisan, conservative political content. Some of the explanations offered include: older people have fewer social media connections, computer and social media literacy levels, and older adults have greater engagement in traditional political activities.
https://papers.ssrn.com/sol3/papers.cfm?abstract_id=3839688https://hal.archives-ouvertes.fr/hal-03311385/document
https://arxiv.org/pdf/2107.12073.pdf