Quotation Hall, Margeret, Athanasios, Mazarkitis, Chorley, Martin, Caton, Simon. 2018. Editorial of the Special Issue on Following User Pathways: Key Contributions and Future Directions in Cross-Platform Social Media Research. International Journal of Human–Computer Interaction. 34 895-912.


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Abstract

Social media and the resulting tidal wave of the available data have changed the ways and methods researchers analyze communities at scale. But the full potential for social scientists (and others) is not yet achieved. Despite the popularity of social media analysis in the past decade, few researchers invest in cross-platform analyses. This is a major oversight as a majority of online social media users have multiple social media accounts. Missing are the models and tools necessary to undertake analysis at scale across multiple platforms. Especially promising in support of cross-platform analysis is the mixed-method approach (e.g., qualitative and quantitative methods) in order to better understand how users and society interact online. This special issue “Following User Pathways” addresses methodological, analytical, conceptual, and technological challenges and opportunities of cross-platform analysis in social media ecosystems.

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Publication's profile

Status of publication Published
Affiliation WU
Type of publication Journal article
Journal International Journal of Human–Computer Interaction
Citation Index SSCI
Language English
Title Editorial of the Special Issue on Following User Pathways: Key Contributions and Future Directions in Cross-Platform Social Media Research
Volume 34
Year 2018
Page from 895
Page to 912
URL https://www.tandfonline.com/doi/pdf/10.1080/10447318.2018.1471575
DOI http://dx.doi.org/10.1080/10447318.2018.1471575
Open Access N

Associations

People
Hall, Margeret (Details)
External
Athanasios, Mazarkitis (Christian-Albrechts-Universität zu Kiel, Germany)
Caton, Simon (National College of Ireland, Ireland)
Chorley, Martin (Cardiff University, United Kingdom)
Organization
Institute for Cognition & Behavior IN (Details)
Research areas (ÖSTAT Classification 'Statistik Austria')
1127 Information science (Details)
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