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Agenda Trending: Reciprocity and the Predictive Capacity of Social Network Sites in Intermedia Agenda Setting across Issues over Time

Authors: Jacob Groshek; Megan Clough Groshek;

Agenda Trending: Reciprocity and the Predictive Capacity of Social Network Sites in Intermedia Agenda Setting across Issues over Time

Abstract

This study examines the transformation of agenda setting in the converged user/producer media environment by comparing the topical issue agendas of two traditional media outlets (NY Times and CNN) with the trending agendas of two social network sites (Facebook and Twitter). Time-series analyses identify the extent to which traditional media inform the agenda for social media as well as reciprocal agenda-setting effects of social media topics entering traditional media agendas. Findings illustrate core differences between certain traditional and social media agendas, but also situate within social media agenda trends that extend from media uses considered here. Additional results further suggest important topical and event-oriented limitations upon the predictive capacity of social network sites to shape traditional media agendas over time.

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Powered by OpenAIRE graph
Found an issue? Give us feedback
selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
16
Top 10%
Average
Average
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