Towards a sociology of computational and algorithmic journalism
By Cw Anderson. New Media & Society, 2013
309 citations recorded by the source corpus.
Subfields: Communication, General Social Sciences
View Paper: https://www.semanticscholar.org/paper/8fa026bbb7feb1ddefe8224414b2554bd6861e96
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Communication
- K. Dörr
- Nicholas A. Diakopoulos
- Mark Coddington
- Matt Carlson
- Mike Ananny
- Michael Latzer
- Natascha Just
- Philip M. Napoli
In General Social Sciences
- Matt Carlson
- K. Dörr
- Mike Ananny
- Michael Latzer
- Nicholas A. Diakopoulos
- Natascha Just
- Philip M. Napoli
- Kate Crawford
Citations in the corpus
- Governance by algorithms: reality construction by algorithmic selection on the Internet (2017, background): “Introduction The growing societal significance of algorithms on the Internet is now widely acknowledged (Salvin, 2011; Mager, 2012; Steiner, 2012; Anderson, 2013; Latzer et al., 2014; Gillespie, 2014; Pasquale, 2015).”
- The Robotic Reporter (2015, methodology): “The term denotes a split from data analysis as a tool for reporters encompassed in writings about “computational and algorithmic journalism” (Anderson 2013) to indicate wholly computer-written news stories emulating the compositional and framing practices of human journalism.”
- Clarifying Journalism’s Quantitative Turn (2015, background): “Journalism has historically seen the public as a unitary, rational, and fixed body, but the online environment has deeply complicated this vision, at once revealing the public as fragmented and creating the potential for a more interactive and participatory public (Anderson 2013b).”
- Mapping the field of Algorithmic Journalism (2016, background): “Terms like “robot journalism,” “automated journalism,” “algorithmic journal-ism,” or “machine-written journalism” dominate the media and scientific discourse (Anderson 2012, 2013).”
- Seeing without knowing: Limitations of the transparency ideal and its application to algorithmic accountability (2018, background): “…(Mackenzie, 2015; Striphas, 2015), automated media circulation (Hallinan and Striphas, 2014; Napoli, 2014), optimized labor (Kushner, 2013) and financial markets (Arnoldi, 2015), bracketed research methods (Driscoll and Walker, 2014), and rationalized expertise (Anderson, 2013; Levy, 2015).”
- Automated Media: An Institutional Theory Perspective on Algorithmic Media Production and Consumption (2014, background): “…as is to be expected in these early stages of an emergent area of inquiry, there has been relatively little discussion at this point of useful theoretical frameworks for understanding algorithms and their role in contemporary media systems (for exceptions, see Anderson, 2013; Webster, 2010).”
- Dealing with digital intermediaries: A case study of the relations between publishers and platforms (2018, unknown): “The opacity of many of the opportunities offered by digital intermediaries is in stark contrast to the general impression in journalism studies that digital media provides detailed and accurate audience data (Anderson, 2012).”
- Algorithmic Accountability (2015, background): “A parallel track of research on computational journalism has looked at the sociology of computing in the newsroom and how work practices are adapting (Anderson 2012; Karlsen and Stavelin 2013).”