Semantic Networks for Social Media and Policy Insights
A special issue of Information (ISSN 2078-2489). This special issue belongs to the section "Information Applications".
Deadline for manuscript submissions: 30 April 2026 | Viewed by 144
Special Issue Editors
Interests: semantic networks; communication networks; social network analysis
Special Issue Information
Dear Colleagues,
Understanding the complex interplay between social media and policy-making is paramount in an era where digital platforms profoundly influence societal dynamics. Semantic networks offer a robust framework to model and analyze the intricate relationships and information flows within these digital ecosystems.
This Special Issue seeks to explore the application of semantic network analysis in deciphering social media content to extract actionable policy insights. By leveraging methodologies from information science, data analytics, and communication studies, the issue aims to bridge the gap between unstructured social media data and structured policy-relevant information.
Topics of interest include, but are not limited to:
- Development and application of semantic network models to social media data.
- Techniques for extracting and structuring information from social media for policy analysis.
- Case studies demonstrating the impact of semantic network analysis on policy formulation and evaluation.
- Integration of semantic networks with other analytical tools for comprehensive social media analysis.
- Ethical considerations and challenges in using social media data for policy insights.
By focusing on these areas, the Special Issue aligns with the Information journal's commitment to advancing research in information science and technology, particularly in the context of data, knowledge, and communication.
Prof. Dr. James A Danowski
Prof. Dr. George Barnett
Guest Editors
Manuscript Submission Information
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Keywords
- semantic networks
- social media
- policy insights
- communication networks
- social network analysis
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