@inproceedings{71e3aa3e0f9f41ed981867602a11e720,
title = "Following user pathways: Cross platform and mixed methods analysis in social media studies",
abstract = "Social media and the resulting tidal wave of 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 42% 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 interacts online. The workshop 'Following User Pathways' brings together a community of researchers and professionals to address methodological, analytical, conceptual, and technological challenges and opportunities of crossplatform, mixed method analysis in social media ecosystems.",
keywords = "Cross platform, Data curation, Mixed method analysis, Research ethics, Social media",
author = "Margeret Hall and Athanasios Mazarakis and Isabella Peters and Martin Chorley and Simon Caton and Mai, {Jens Erik} and Markus Strohmaier",
note = "Publisher Copyright: {\textcopyright} 2016 Authors.; 34th Annual CHI Conference on Human Factors in Computing Systems, CHI EA 2016 ; Conference date: 07-05-2016 Through 12-05-2016",
year = "2016",
month = may,
day = "7",
doi = "10.1145/2851581.2856500",
language = "English (US)",
series = "Conference on Human Factors in Computing Systems - Proceedings",
publisher = "Association for Computing Machinery",
pages = "3400--3407",
booktitle = "CHI EA 2016",
}