1,005 research outputs found
Automated analysis of actor–topic networks on Twitter: New approaches to the analysis of socio‐semantic networks
Andrzej Pekalski networks of scientific interests with internal degrees of freedom through self-citation analysis
Old and recent theoretical works by Andrzej Pekalski (APE) are recalled as
possible sources of interest for describing network formation and clustering in
complex (scientific) communities, through self-organisation and percolation
processes. Emphasis is placed on APE self-citation network over four decades.
The method is that used for detecting scientists field mobility by focusing on
author's self-citation, co-authorships and article topics networks as in [1,2].
It is shown that APE's self-citation patterns reveal important information on
APE interest for research topics over time as well as APE engagement on
different scientific topics and in different networks of collaboration. Its
interesting complexity results from "degrees of freedom" and external fields
leading to so called internal shock resistance. It is found that APE network of
scientific interests belongs to independent clusters and occurs through rare or
drastic events as in irreversible "preferential attachment processes", similar
to those found in usual mechanics and thermodynamics phase transitions.Comment: 7 pages, 1 table, 44 references, submitted to Int J Mod Phys
Early public responses to the Zika-virus on YouTube: Prevalence of and differences between conspiracy theory and informational videos
Dynamics of Content Diversity within Issues, Across Platforms: A Pesticide Debate in the News and on Twitter
Diversity of represented viewpoints in media content is a vital aspect of democratic societies. Building on insights about content diversity between topics, this study assesses frame and actor diversity within an issue and across media platforms. We conducted a manual quantitative content analysis of frames and actors in Dutch Twitter posts (N = 2,224) and newspaper articles (N = 318) about the banned pesticide fipronil, and we compared categorical and relative diversity of frames and actors between platforms. The results revealed an overall higher diversity for newspaper articles compared with tweets. Most strikingly, the diversity dynamics were quite similar in newspaper content and Twitter messages, but this similarity vanished once we distinguished between diagnostic and prognostic actor and frame diversity, with news articles showing a greater focus on solutions. The proposed diversity measures help discern temporal stages within issues and contribute to our understanding of intraissue dynamics across media platforms
Evaluating social countermarketing success: Resonance of framing strategies in online food quality debates
Back to the Roots? The Applications of Communication Science Theories in Strategic Communication Research
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