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Do Birds Of A Feather Watch Each Other? Homophily and Social Surveillance in Location Based Social Networks Shion Guha Stephen Wicker Information Science Electrical & Computer Engineering
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Page 1: Homophily-SocialSurveillance-4sq-CSCW2015

Do Birds Of A Feather Watch Each

Other?Homophily and Social Surveillance in Location Based Social Networks

Shion Guha Stephen Wicker

Information Science Electrical & Computer Engineering

Page 2: Homophily-SocialSurveillance-4sq-CSCW2015

why do people share location?

- personal diary, discounts and social networking

(Lindqvist et al., CHI’11)

- performance and audience management (Cramer et

al.,MobileHCI’11)

- impression formation, management and evolving

strategies (Guha & Birnholtz, MobileHCI’11)

- privacy considerations, rewards and regrets (Patil et al.,

SOUPS’12)

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privacy

“My boss saw where I was when I told her I was sick and I

got fired.”

- Patil et al. (SOUPS, 2012)

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impressions

“My friends shouldn’t be allowed to think that I am not

working hard …”

- Guha and Birnholtz (MobileHCI,13)

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surveillance

“I generally,I always look at Ashley’s page, that’s the

person that my ex-boyfriend’s dating, I don’t know why, I

don’t know why I always do, I’m just interested.”

- Marwick (S&S,2013)

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social surveillance

“... the ongoing eavesdropping, investigation,

gossip and inquiry that constitutes information

gathering by people about their peers, made

salient by the social digitization normalized by

social media ...”

- Marwick (S&S, 2013)

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research questions

- do people look at the location disclosures of

other folks similar to them?

- do people interact with their peers around

their acts of location surveillance?

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the present study

- mixed methods- 65 participants (34 male, 31 female)

- May 2013 - January 2014 (9 months)

- social network analysis

- weighted homophily analysis (Opsahl, 2009)

- semi-structured interviews

- grounded theory (Glaser & Strauss, 1967)

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participant descriptionVariables Minimum Maximum Mean Std. Dev.

Views of Check-

ins

153 1012 443.8 194.13

Days on

foursquare

247 1406 443 156.2

Check-ins 137 19435 1556.4 2782.18

Friends 1 999 89.44 193.034

Mayorships 1 189 17.02 43.734

Badges 24 225 34.1 35.96

Tips 1 133 16.15 32.22

Photos 3 761 31.15 110.21

Age 20 61 33 3.3

Income 14400 156000 67000 19342.5

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group descriptions

Variables Category Labels and Descriptions

Gender Male Female

Age 18-25 26-34 35-44 45-54 55-64

Race White African or Black Asian (incl. Indian

subcont.)

Hispanic or Latino Mixed

Income 0-29999 30000-59999 60000-99999 100000-129999 130000+

Occupation Unemployed Student White Collar Blue Collar Self Employed

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homophily analysisFriendship Network

Surveillance Network

Variables Std.βEffect Size (ω2)

Std. β Effect Size (ω2)

Gender 0.310.14

0.41** 0.53

Age 0.050.05

0.01 0.02

Race 0.220.18

0.44** 0.64

Income 0.38*0.23

0.11 0.09

Occupation 0.040.02

0.03 0.01

Adjusted r2 0.41 0.56

* p < 0.05 ** p < 0.01

Page 13: Homophily-SocialSurveillance-4sq-CSCW2015

implications

- differential (public) participation in locations- gendered (McCorkel, 2003)

- racially divided (Lyon, 2007)

- location sharing as a digital manifestation of

physical self.

- location surveillance as a natural

continuation of this manifestation.

Page 14: Homophily-SocialSurveillance-4sq-CSCW2015

location surveillance: strategies

“I don’t accept random friend requests on foursquare like I

do on Facebook. My foursquare friends ... I know all of

them in real life pretty well ... I don’t want random stalking

from people I don’t know but people, I know, that’s fine.”

Page 15: Homophily-SocialSurveillance-4sq-CSCW2015

location surveillance: strategies

“Yo ! I just saw you check-in to Teagle Wassup?”

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location surveillance: strategies

“Normally, I glance at all my friend’s check-ins when I go to

check-in myself but if I see them at some cool new venue

or somewhere I wouldn’t expect them to be or go to then I’ll

go to that check- in and at many times I’ll either like it or

write a comment on it as well.”

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location surveillance: interactions

Frank: “John went to more bars than you last night! :P”

Tim: “Yep ! 6 bars?”

Frank: “Mans having fun in NYC !”

Tim: “I checked out the places ... pretty expensive

-I can’t afford that without help. :D :D”

Frank: “Rich gf [girlfriend]. :P””

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location Surveillance: interactions

C1: “Ice cream ! I want some right now !”

C2: “I hate that I am working now and seeing everyone

having fun. [online on foursquare]”

C3: “BTW, I am so totally stalking you right now. :P :P ”

Page 19: Homophily-SocialSurveillance-4sq-CSCW2015

location surveillance: interactions

Tony:“heh. when this popped up i couldn’t believe it ...

looks like someone’s getting inked !”

Jill:“And now you have witnesses to back this up !”

Tony:“Yeah ! give us monies or we will tell your boss !”

Page 20: Homophily-SocialSurveillance-4sq-CSCW2015

what does it all mean?

- surveillance as an alternative lens to study

interactions in social networks.

- location surveillance and homophilous

tendencies.

- location surveillance as a strategy to

manage boundaries and maintain or

updating existing ties.

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