A network perspective on intermedia agenda-setting
- URL: http://arxiv.org/abs/2002.05971v2
- Date: Sat, 20 Jun 2020 08:43:32 GMT
- Title: A network perspective on intermedia agenda-setting
- Authors: Samuel Stern, Giacomo Livan, Robert E. Smith
- Abstract summary: We operationalise intermedia agenda-setting by putting forward a methodology to infer networks of influence between different news sources on a given topic.
We find influence to be significantly topic-dependent, with the same news sources acting as agenda-setters with respect to certain topics and as followers with respect to others.
At the same time, we find that the influence networks associated with most topics exhibit small world properties, which we find to play a significant role towards the overall diversity of sentiment expressed about the topic by the news sources in the network.
- Score: 4.83420384410068
- License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
- Abstract: In Communication Theory, intermedia agenda-setting refers to the influence
that different news sources may have on each other, and how this subsequently
affects the breadth of information that is presented to the public. Several
studies have attempted to quantify the impact of intermedia agenda-setting in
specific countries or contexts, but a large-scale, data-driven investigation is
still lacking. Here, we operationalise intermedia agenda-setting by putting
forward a methodology to infer networks of influence between different news
sources on a given topic, and apply it on a large dataset of news articles
published by globally and locally prominent news organisations in 2016. We find
influence to be significantly topic-dependent, with the same news sources
acting as agenda-setters (i.e., central nodes) with respect to certain topics
and as followers (i.e., peripheral nodes) with respect to others. At the same
time, we find that the influence networks associated with most topics exhibit
small world properties, which we find to play a significant role towards the
overall diversity of sentiment expressed about the topic by the news sources in
the network. In particular, we find clustering and density of influence
networks to act as competing forces in this respect, with the former increasing
and the latter reducing diversity.
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