[Air-L] "Semantic and Social Network Analysis in the Evolving Age of Social Media: Unveiling Patterns and Impacts"

[James Danowski]

How can semantic and social network analysis best uncover the otherwise
elusive structures and processes over and underlying social media posts?
This special edition of Frontiers in Research Metrics and Analytics
<https://www.frontiersin.org/journals/research-metrics-and-analytics>,
“Network Analysis of Social Media Texts,” explores contemporary
methodologies and ideas in this evolving field, emphasizing the need for
innovative strategies to analyze social media's content and impacts. Our
focus spans various platforms and aims to enhance theoretical understanding
and inform critical policy decisions.

We invite researchers to contribute original studies employing diverse,
cutting-edge supervised and unsupervised text analysis methods. A social
benefit of your work may be lessening the negative effects and amplifying
the positive aspects of social media interactions.

All accepted research will be published in Open Access, ensuring global
visibility. Furthermore, we are compiling a free eBook to provide an
accessible, comprehensive overview of the latest advancements in this
dynamic field.

Join us in shaping the future of social media studies. Learn more and
contribute your insights at http://fron.tiers.in/rt/41263.

Deadline for Manuscript Submissions: April 14, 2024

Ke Jiang, James Danowski, and Weiai Wayne Xu are the editors.