AoIR2011 Self-injury on Flickr presentation

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Picturesque wounds: Narrative performance of self- injurers on Flickr October 12, 2011 Yukari Seko (York/Ryerson Universities) Photo by Sebastian R

description

Preliminary findings of my dissertation research on photographs of self-injury on Flickr, presented at Association of Internet Researchers conference in Seattle, Oct 12 2011

Transcript of AoIR2011 Self-injury on Flickr presentation

Page 1: AoIR2011 Self-injury on Flickr presentation

Picturesque wounds:

Narrative

performance of self-

injurers on Flickr

October 12, 2011Yukari Seko (York/Ryerson

Universities)

Photo by Sebastian R

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Internet and self-injury (SI)

Internet as a low-risk venue to search info, express themselves, find peers with similar interest, and formulate SI subculture

Rapid increase of user-generated multimedia SI content

Existing studies: predominantly text-oriented Tend to to rely on medical

interpretation Focus mainly on “communities”

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Social media “Ego-centered,” relatively centralized

“I” network

Constant identity performance: “write themselves into being” (boyd, 2007)

Variety of social network besides cocooned “community,” through metadata and indexing activity (tagging, friending, linking, commenting etc)

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Photo-sharing social media (6 billions photos by Aug 2011)

Folksonomy: user-generated indexing, collective knowledge building

Relative tolerance for content (user-led regulation, flagging)

Multi-layered social space (personal space, p2p network through “contact,” loose interaction via tag, comments, and group)

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Flickr’s Multi-layered social

network1. peer-to-peer

contact

2. Via photo (comment/favorite)

Like it!

Thanx

4. Flickr group

Shared

topic

Join

3. Via Tag

boat boat

Modified the figure from Hansen, Shneiderman & Smith (2010)

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Method Flickr as symbiotic assemblage of

technocultural entities

1. Identify Semantic Landscape through quantitative tag analysis

2. Interrogate social interactions between photo-uploaders and viewers (discourse analysis)

3. Visual content analysis of individual photographs

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Research Subjects photos retrieved through text (keyword)

and tag 1051 photos retrieved via keyword “self-

injury” 864 photos via tag search

All photos are publicly accessible without Flickr account, marked as “Safe”

Textual info & metadata attached to each photo were retrieved via Flickr API

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Image generated by www.taggalaxy.de

Flickr photos tagged “selfinjury”

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Search style Keyword Tag

Mean # of photo 1051 864

#of unique tags 2161 1971

total# of tags 7949 8234

Average# of tags

8.7 9.5

Photos with no tag

137 N/A

Keyword vs. Tag

* Overlap btw 2 datasets = 508

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inju

ry

self-

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depre

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cuttin

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twlo

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scar

s

(no

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rite

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e on

her

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ry

Suicid

e

write her

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self-

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cuts

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t

Addiction 36

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50

100

150

200

250

300

350

Top 25 tags for photos found via keyword search

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g

blood

scar

s

depre

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n

self

harm cu

t

Self-har

m

selfh

arm

cuts

girl

self-

muti

lation

scar

skin

anxi

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suicid

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50

100

150

200

250

300

350

Top 25 tags for photos found via tag search

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Tag appearance frequency

59%14%

7%

4%

3%

2%4%

Tag Group

1 2 34 5 6

66%12%

6%

3%

2%

2%

4%Keyword Group

_x0001_1_x0001_2

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Tag network for “selfinjury” tag generated by Nodexl

Medical interpretation

SI-specific term

Photography

Body Parts

SI-awareness

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Photo by inju

Photo by SarahWynne

Photo by Cherry C.

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Discussion SI photographs as potential modality for

self-disclosure that facilitates performative social communication

SI as an act to deal with emotional pain in a visible manner may provoke aesthetic impulse of self-injurers to visually narrativize their life

Flickr, as a social site of display, seems to encourage SI photo uploaders to label and share their life freely, not necessarily bound to medical diagnosis

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Works cited boyd, d. (2007). Why Youth Social Network

Sites: The Role of Networked Publics in Teenage Social Life. In D. Buckingham (Ed.). MacArthur Foundation Series on Digital Learning – Youth, Identity, and Digital Media Volume. Pp. 119-142.

Hansen, D., Shneiderman, B. & Smith, M. (2010)Analyzing Social Media Networks with NodeXLMorgan Kaufmann

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Thank you!!

Yukari Seko

[email protected]

@doggyjelly

Photo by DesolationSmile