How Did the Data Extraction Business Model Come to Dominate? Changes in the Web Use Ecosystem Before Mobiles Surpassed Personal Computers

The Information Society, 35(5). doi:10.1080/01972243.2019.1644409

28 Pages Posted: 13 Aug 2019

See all articles by Angela Xiao Wu

Angela Xiao Wu

New York University (NYU) - Department of Culture and Communication

Harsh Taneja

University of Illinois at Urbana-Champaign

Date Written: August 9, 2019

Abstract

It is widely believed that the spread of data extraction technologies on the Internet has led to the erosion of traditional professional content providers and the transformation of the online media ecosystem. To investigate this shift in media ecology, we conduct relational analyses of actual user behavior, departing from existing research that primarily focuses on business institutions and designs of technology. We assess the prevalence of the data extraction business model by grouping websites along two architectural traits that afford data extraction — user content generation and curation — and analyzing how some website architectures get privileged in the web use ecosystem. Since data extraction is relational, we advocate a network measure to capture shared usage in addition to individual popularity of websites. Our analyses of world's 850 most popular websites in 2009, 2011, and 2013 reveal that data extraction fostered a two-tier hierarchical web use ecosystem, marked by interdependence between professional content producers and data extractors. Our study thereby shows that the dynamics in play are more complicated than what is captured by explanations centered on either capabilities of platform giants or the decline of traditional journalism and media organizations.

Keywords: data extraction, user-generated content, curation, intermediation, web usage, media industries, platformization, advertising

Suggested Citation

Wu, Angela Xiao and Taneja, Harsh, How Did the Data Extraction Business Model Come to Dominate? Changes in the Web Use Ecosystem Before Mobiles Surpassed Personal Computers (August 9, 2019). The Information Society, 35(5). doi:10.1080/01972243.2019.1644409. Available at SSRN: https://ssrn.com/abstract=3435117

Angela Xiao Wu (Contact Author)

New York University (NYU) - Department of Culture and Communication ( email )

239 Greene St., 7th Floor
New York, NY 10003-1836
United States

Harsh Taneja

University of Illinois at Urbana-Champaign ( email )

601 E John St
Champaign, IL 61820
United States

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