Lei Guo

TL;DR: Although it is confirmed that content from fake news websites is increasing, these sites do not exert excessive power, and fact-checkers were not influential in determining the agenda of news media overall, and their influence appears to be declining, illustrating the difficulties fact-checks face in disseminating their corrections.

TL;DR: Support for agenda melding is found and the Network Agenda Setting (NAS) model is validated through a series of computer science methods with large datasets on Twitter, which demonstrates that during the 2012 U.S. presidential election, distinctive audiences “melded” agendas of various media differently.

TL;DR: This article presents an empirical study that investigated and compared two “big data” text analysis methods: dictionary-based analysis, perhaps the most popular automated analysis approach in social science research, and unsupervised topic modeling (i.e., Latent Dirichlet Allocation [LDA] analysis), one of the most widely used algorithms in the field of computer science and engineering.

TL;DR: In this paper, the authors examined the Network Agenda Setting Model, the third level of agenda-setting theory, by testing five years (2007-2011) of aggregated data from nation states.

TL;DR: In this article, a large-scale intermedia agenda-setting analysis examines U.S. online media sources for 2015 and finds that media agendas were highly homogeneous and reciprocal.