Comparative Process-oriented Research Using Social Media and Historical Text

Dhiraj Murthy

Sociological Research Online, 2017, vol. 22, issue 4, 3-26

Abstract: This article evaluates whether we can use process-oriented theory to conduct comparative, historical social media research. There is a lack of theoretically informed approaches to studying recently digitized historical text with contemporary social media. This article argues that such perspectives are needed and extends Norbert Elias’ notions of ‘sociogenesis’ and ‘psychogenesis’ into data-driven research. Canonical process-oriented researchers such as Elias used mixed-methods approaches, including visual maps and quantitative surveys. By comparing 17th-century digitized diaries and 5 million digitized books from Google Books with contemporary tweet data, this study provides a successful case of comparing tweets with historical printed text at a big data scale. Moreover, quantitative methods are important to process-oriented methodologies and can be extended to big data empirical sources. An important finding is that there are similarities in the curation of everyday life in elite historical diaries and in more democratic forms of contemporary social media. Although accessibility and volume of content have changed over time from historical text to tweets, we found that there is a marked preference for certain words associated with communal sentiment over the centuries.

Keywords: big data; computational social science; democratization; diaries; linguistic change; Norbert Elias; social media; Twitter (search for similar items in EconPapers)
Date: 2017
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Persistent link: https://EconPapers.repec.org/RePEc:sae:socres:v:22:y:2017:i:4:p:3-26

DOI: 10.1177/1360780417731272

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