Editorial of the Special Issue on Following User Pathways: Key Contributions and Future Directions in Cross-Platform Social Media Research

Margeret Hall, Athanasios Mazarakis, Martin Chorley, Simon Caton

Research output: Contribution to journalEditorial

5 Citations (Scopus)

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.

Original languageEnglish (US)
Pages (from-to)895-912
Number of pages18
JournalInternational Journal of Human-Computer Interaction
Volume34
Issue number10
DOIs
StatePublished - Oct 3 2018

Fingerprint

Tsunamis
communication research
social media
Ecosystems
media analysis
quantitative method
social scientist
qualitative method
popularity
community

ASJC Scopus subject areas

  • Human Factors and Ergonomics
  • Human-Computer Interaction
  • Computer Science Applications

Cite this

Editorial of the Special Issue on Following User Pathways : Key Contributions and Future Directions in Cross-Platform Social Media Research. / Hall, Margeret; Mazarakis, Athanasios; Chorley, Martin; Caton, Simon.

In: International Journal of Human-Computer Interaction, Vol. 34, No. 10, 03.10.2018, p. 895-912.

Research output: Contribution to journalEditorial

@article{8f2d2abed51f4a22ad5b9992b3e40225,
title = "Editorial of the Special Issue on Following User Pathways: Key Contributions and Future Directions in Cross-Platform Social Media Research",
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.",
author = "Margeret Hall and Athanasios Mazarakis and Martin Chorley and Simon Caton",
year = "2018",
month = "10",
day = "3",
doi = "10.1080/10447318.2018.1471575",
language = "English (US)",
volume = "34",
pages = "895--912",
journal = "International Journal of Human-Computer Interaction",
issn = "1044-7318",
publisher = "Taylor and Francis Ltd.",
number = "10",

}

TY - JOUR

T1 - Editorial of the Special Issue on Following User Pathways

T2 - Key Contributions and Future Directions in Cross-Platform Social Media Research

AU - Hall, Margeret

AU - Mazarakis, Athanasios

AU - Chorley, Martin

AU - Caton, Simon

PY - 2018/10/3

Y1 - 2018/10/3

N2 - 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.

AB - 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.

UR - http://www.scopus.com/inward/record.url?scp=85047839479&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=85047839479&partnerID=8YFLogxK

U2 - 10.1080/10447318.2018.1471575

DO - 10.1080/10447318.2018.1471575

M3 - Editorial

AN - SCOPUS:85047839479

VL - 34

SP - 895

EP - 912

JO - International Journal of Human-Computer Interaction

JF - International Journal of Human-Computer Interaction

SN - 1044-7318

IS - 10

ER -