Data & Society > our work > academic journal > Isomorphism through algorithms: Institutional dependencies in the case of Facebook

Big Data & Society | 02.14.18

Isomorphism through algorithms: Institutional dependencies in the case of Facebook

Robyn Caplan, danah boyd

How do algorithms & data-driven tech induce similarity across an industry? Data & Society Researcher Robyn Caplan and Founder & President danah boyd trace Facebook’s impact on news media organizations and journalists.

“This type of analysis sheds light on how organizational contexts are embedded into algorithms, which can then become embedded within other organizational and individual practices. By investigating technical practices as organizational and bureaucratic, discussions about accountability and decision-making can be reframed.”

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