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Tweeting #Ferguson: Affective Publics, Boundary Maintenance, and Journo-Activism in a Mediatized Field

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Abstract

Combining digital ethnographic content analysis with social network analysis and link analysis, this chapter examines uses of Twitter by a small cohort of journalists and activists in the aftermath of the police shooting of Michael Brown in Ferguson, Missouri. After providing context about the case and reviewing literature on networked journalism and activism, the chapter compares tweets from each cohort. While the traditions of objective journalism and affective activism persisted, notable exceptions occurred, particularly following acts of police suppression. These findings demonstrate the adaptability of some journalistic norms in the era of mediatization. Furthermore, the networked communities of professional and activist Twitter users were overlapping and interactive, suggesting hybridity at the margins of the journalistic field.

A previous version of this chapter was published as: Barnard, S. R. Tweeting #Ferguson: Mediatized fields and the new activist journalist. New Media & Society, Advanced online publication, Copyright © 2017, SAGE Publications. Reprinted by permission of SAGE Publications. Available at: http://journals.sagepub.com/doi/abs/10.1177/1461444817712723.

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Notes

  1. 1.

    Thus, the hashtag “#Ferguson” is broadly used to describe the discursive exchanges occurring on Twitter and the wider web. By contrast, “Ferguson” is used only to describe the events taking place on the ground in Ferguson, Missouri and the surrounding area.

  2. 2.

    Numerous studies have demonstrated the implications of mediatization for social relations, including journalism (Backholm et al. 2012; Rees 2012), activism (Mattoni and Treré 2014), politics (Strömbäck 2008), culture (Chen 2015; Hepp 2013) conflict , and memorialization (Cottle 2006; Lindgren 2012), and beyond (Couldry and Hepp 2013).

  3. 3.

    While searching explicit mentions of #Ferguson or “Ferguson” by specific users allowed for a targeted sampling, it missed similar tweets from all other relevant users as well as those that did not include the search terms. Furthermore, the reliance on Twitter data rendered invisible professional journalists’ primary reporting on more mainstream media platforms , which likely differed in tone and tenor from their tweets.

  4. 4.

    All percentages are based on in-group comparisons, rather than the entire data set.

  5. 5.

    Node colors represent the Twitter users’ self-defined country of origin (Blue = US; Purple = UK; Green = Laos; Gray = Italy; Red = unknown).

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Barnard, S.R. (2018). Tweeting #Ferguson: Affective Publics, Boundary Maintenance, and Journo-Activism in a Mediatized Field. In: Citizens at the Gates. Palgrave Macmillan, Cham. https://doi.org/10.1007/978-3-319-90446-7_6

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  • DOI: https://doi.org/10.1007/978-3-319-90446-7_6

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