The (net)work of mourning

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Emotional contagion, viral performativity, and the death of David Bowie The (net)work of mourning Peta Mitchell: [email protected] l Axel Bruns: [email protected] Felix Victor Münch: [email protected]

Transcript of The (net)work of mourning

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Emotional contagion, viral performativity, and the death of David Bowie

The (net)work of mourning

Peta Mitchell: [email protected] l Axel Bruns: [email protected] Victor Münch: [email protected]

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Twitter: tracking emotional content

• Mourning• Celebrity• Social media• Performativity

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The Bowie dataset: overview• All tweets containing keyword ‘Bowie’• Total tweets: over 6.3 million• Tracking period: 15 days following the confirmation

of Bowie’s death (from 7.12 am GMT on 11 January to 5.48 am GMT on 26 January)

• Rate limited in early stages of tracking

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The Bowie dataset: hashtags

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The Bowie dataset: tweet types

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The Bowie dataset: top retweets

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Our focus: ‘meso-level analytics’• What’s shared: urls/images (65% of original tweets contained

URLs), words/text• Who’s talking, to whom, about whom, and how: @mention

network• And when?Network analysis and analysis over time as a ‘meso-level’ approach not only to look at the most shared/mentioned

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@flxvctr

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@flxvctr

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@flxvctr

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@flxvctr

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Bruns, A., Moon, B., Paul, A., & Münch, F. (2016). Towards a Typology of Hashtag Publics: A Large-Scale Comparative Study of User Engagement across Trending Topics. Communication Research and Practice, 2(1), 20–46. http://doi.org/10.1080/22041451.2016.1155328

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Same story after Munich shooting

@flxvctr

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Not the same story after Munich shooting

@flxvctr

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From macro to micro: URL sharing

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https://twitter.com/celesteasaurus/status/686443194024722432/photo/1

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http://dollychops.tumblr.com/post/107517113745/happy-birthday-david-bowie

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Full @-mention network (3-core)

@flxvctr

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Let Bowie ‘die’

@flxvctr

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@flxvctr

Full @-mention network without @davidbowiereal (3-core)

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@flxvctr

Full @-mention network without @davidbowiereal

@flxvctr

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@flxvctr

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Bruns, A. (2008). Life beyond the public sphere: towards a networked model for political deliberation. Information Polity, 13, 71–85.

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Mutual @-mention network

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Conclusion• Explorative analysis of case of mass public mourning on

Twitter• Meso-level, temporal network analysis seems promising in

assisting qualitative research needed to understand phenomenon of mass public mourning

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Outlook• Refine methods to map, measure, and analyse spread of mourning

practices and mourning artifacts• Test hypotheses (e.g., regarding network centrality)• Extend analysis to other cases to identify common characteristics of

networked mourning practices in relation to mediated celebrity death.

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Conclusion Damian Dempsey https://www.flickr.com/people/63906808@N0

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Sharing of song lyrics

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Sharing of song titles