Performance and Scene

PerformanceandScene
USER CLASSIFICATION PART 1/8

+ Humans have a hard time classifying information.

Contest
Love interest
Good vs. Evil
Action scenes

SCI-FI or WAR?

Brandon Webb, © 2012

PerformanceandScene
USER CLASSIFICATION PART 1/8

+ Humans have a hard time classifying information.

Advanced Naval/Air/
Technology Land battle
Space Travel Evil “Other”
Aliens Focus on
Focus on military life /
utopia / the effects of
apocalypse war

SCI-FI WAR

SCI-FI or WAR?

*Can we
sort
people?


*USER CLASSIFICATION
the task of sorting people based on the language
those people deploy in natural language texts.


+ Example Natural Language Texts

+ product reviews (amazon)
+ status updates (facebook, twitter)
+blogs (tumblr)
+user profiles (OkCupid, A4A)


+Language about
politics< concrete
than language about
products(Malouf& Mullen, 2008; Pang
& Lee, 2007).

+Hard to classify users
on political forums.
(Malouf& Mullen, 2008; Pang
& Lee, 2007).

WHAT ABOUT ON
ADAM4ADAM?


is a public gaydating site.
Users create and edit
profiles,uploadpics,viewonline
members,and send one
another messages.

*A user’s profile…

performance

scene


+What is SCENE?


+ What is SCENE?
+ A4A allows 1-9 scene choices.


+ What is SCENE?
+ A4A allows 1-9 scene choices.
+ Individual identities are social
products (Jenkins, 2008).


+ What is SCENE?
+ A4A allows 1-9 scenes choices.
+ Individual identities are social
products (Jenkins, 2008).
+ Although two users share the
same nominal identity, their
lived experience may be
entirely different.


PerformanceandScene
SCENE PART 3/8

Gay jock in downtown
Gay jock in rural
LA.
Nebraska


PerformanceandScene
SCENEPART 3/8

Gay jock in downtown
Gay jock in rural
LA.
Nebraska

By laying claim to a scene, users communicate that they are more alikethan dislike.


CASUAL

“I’d like to think that I’m a fairly unique person, but I guess everyone thinks
that about themselves, huh?”


TRENDY

“Chill guy here…love photogrphy, art galleries, read a good book in a coffee
chop, indie films, fashion magz and clubs.”


ALTERNATIVE

“I like to chill with people who are conscious with their world and other people’s
worlds. I like people who can carry good conversations and be open minded.”


MILITARY

“GL laid back military dude. Into other built guys but not lookin for random
hookups.”


JOCK

“Looking for sexy athletic hot bodied men for pleasurable times. If you are not
athletic we are probably not a good match.”


DRAG

“Skater dude by day rock Princess by night. yes I am a drag queen, but don’t let
that scare you off it pays the bills goes to show how fun I can be…”


LEATHER

“Doctor seeking a young dominant guy to own me. Make me wait on you
hand and foot…”


PUNK

“Laid back sort of guy. Like other men with similar interests. Not into fem
guys at all. Like music and have a soft spot for punk style guys…”


CONSERVATIVE

“Regular guy into sports, gym a couple times a week. neg/std free, no drugs,
play safe only, looking for similar guys for discreet times or hanging out…”


PERFORMANCE
Intentionalself-
construction during job
interviews, web
chatrooms, or dating
profiles.
(Goffman, 1959; Sunderland, 1994).


PERFORM
PERFORMANCE For whom?
Intentionalself-
construction during job
interviews, web
chatrooms, or dating
profiles.
(Goffman, 1959; Sunderland, 1994).


PerformanceandScene
PERFORMANCEPART 4/8

+ Users performtheir identity for other users.

UNKNOWN

TROLL

MATCH/FRIEND

USER


PerformanceandScene
PERFORMANCEPART 4/8 Down for
420, hit me
Hey guys, into PNP here
up, no ltr

If your looking for a one night
thing, or into drugs…..no!

TROLL

USER Brandon Webb, © 2012

PerformanceandScene
PERFORMANCEPART 4/8 Navy guy here,
be discreet Athletic guy looking for
other dl dudes

GI bi discreet milguy here Really
into other military or jock guys

MATCH

USER Brandon Webb, © 2012

PerformanceandScene
PERFORMANCEPART 4/8

Anybody down for coffee or a
PUBLIC movie? Regular guy here love
the outdoors!

Hey boys, I love hiking and Hey guys the names Rick I’m a
basketball music and dance double major…

Hey just looking to make
some friends Sup!


PerformanceandScene
PERFORMANCEPART 4/8

I wanna have sex with someone
Love to create fantasy play for watching thru the window
boys from 18 to 40 PRIVATE


PerformanceandScene
CORPUSPART 5/8

+ 2,437 user profiles were taken from A4A (IRB APPROVAL: 777080).


PerformanceandScene
CORPUSPART 5/8

+ 2,437 user profiles were taken from A4A (IRB APPROVAL: 777080).
+ Each user profile stored in XML file tagged for performance and
scene = this became the training corpus.

<USER ID=001>
<PERFORMANCE>
”Looking for NSA fun. NOT looking for a
relationship, already have that”
</PERFORMANCE>
<SCENE>
Casual
</SCENE>
</USER>

…

<USER ID=2437>
…


PerformanceandScene
CORPUSPART 5/8

+ Composition of training corpus

499jock
109military
238alternative

577casual
399trendy

41punk

462conservative
92leather

20drag

PerformanceandScene
NAÏVE-BAYESPART 6/8

+ How do we classify users?


PerformanceandScene

+ How do we classify users?
+ Each performance is transformed into a list of features so that it
can be read by the classifier

“Looking for NSA fun. NOT looking for a relationship, already have that.
Versatile, but prefer bottom. NO tweekers or PNP losers, been there,
was one.”

becomes a list of features with functional language deleted…

*‘looking’, ‘nsa’, ‘fun’, ‘looking’, ‘relationship’, ‘already’, ‘have’, ‘versatile’,
‘prefer’, ‘bottom’, ‘tweekers’, ‘pnp’, ‘losers’, ‘been’, ‘there’, ‘was’, ‘one’+


PerformanceandScene

+ We do this for all 2,437 profiles so that we end up with a huge list
of features.


PerformanceandScene

+ We do this for all 2,437 profiles so that we end up with a huge list
of features.
+ Then, for each performance, what features do we witness in that
performance that we also witness in the list of features? If a
performance has a feature, we mark it with 1. If not, 0.

(,contains(‘gear’): 1, contains(‘workout’): 0, contains(‘sup’): 1, …, -, jock)

(,contains(‘leather’): 1, contains(‘workout’): 0, contains(‘sup’): 0, …, -, leather)

+ In this way, each performance becomes a vectorthat we feed
to the Naïve-Bayes classifier for training.


PerformanceandScene

NAÏVE-BAYES TRAINING PHASE PSEUDOCODE

TRAIN_NBCLASSIFIER (PERFORMANCE, SCENE):
1 F← EXTRACT_ALL_FEATURES(PERFORMANCE, SCENE)
2 V ← TRANSFORM_INTO_VECTOR(PERFORMANCE)
3 For each scene:
4 DO NS← COUNT_SCENE_OCCURENCES(SCENE)
5 PRIOR[S] ← NS/N
6 For each vector in V:
7 For each feature in F:
8 Tscene+feature← COUNT_FEATURE_OCCURENCES(VECTOR)
9 DO CONDPROB[scene][feature]← Tscene+feature/ Σfeature’ * (Tscene+feature’)
10 RETURN (prior, condprob)


PerformanceandScene

NAÏVE-BAYES TESTING PHASE PSEUDOCODE

CLASSIFY_USER(PRIOR, CONDPROB, PERFORMANCE):
1 W←EXTRACT_FEATURES(PERFORMANCE)
2 For each scene:
3 DO SCORE[C] ← log(PRIOR[S])
4 For each feature in W:
5 DO SCORE[S]+= log(CONDPROB[feature][scene])
6 RETURN ARGMAX(SCORE[S])


leather
ltr dom hiv
handcuffs
pig
bondage

hiking
btmwstoys gear
masculine
daddy
wild
guy

dominant hairy

workout
fems
couples
sex regular

snowboarding
poz explore
dance
pnp

mild
holes
sub
bears
fats

workout

water


So how do users performsocial identity?

PerformanceandScene
RESULTSPART 7/8

Naïve-Bayes classifier results (scene vs. scene and multi-scene)

Scene CAS TRE ALT MIL JOC LTH PNK DRG CNS
CAS - .63 .55 .50 .63 .53 .50 .50 .75
TRE .63 - .60 .50 .73 .53 .50 .50 .78
ALT .55 .60 - .55 .63 .53 .50 .50 .63
MIL .50 .50 .50 - .50 .73 .50 .50 .50
JOC .63 .73 .63 .50 - .53 .50 .50 .73
LTH .53 .53 .53 .73 .53 - .50 .53 .53
PNK .50 .50 .50 .50 .50 .50 - .55 .50
DRG .50 .50 .50 .50 .50 .53 .55 - .50
CNS .75 .78 .63 .50 .73 .53 .50 .50 -
ALL .217


CRAZY
RETAIL ARTIST
FASHION
MOVING

MOVED
SHOPPING
THEATRE
BEFORE
FLOW
SHY HOLD
SWEET


CRAZY
NASTY ARTIST
SWEATYFUCKIN
CREATIVE

SINGER
TATTOOS
INTENSE
LATE
BLAH
BAR POZ
THIN


BROTHER
FREAKS NIGGAS
BROTHAS

LIFTING
DRUG
SINCERE


CRAZY
TRADE SECURE
DIVING MILITARY
NAVY

PARKS
FETISH
SNOWBOARDING
HOLE
YO
GOVT ARMY
PIX


SPORTS
TRADE SUP
BASKETBALL LIFTING
CURIOUS
JOCK

BUDS
GEAR
SUM STD PIX


DICKS
ANYWAY
LICKED VALUES
MAKEUP
FEM MOVING

MOVED
SHOPPING
FILLED
CLUBS
WEEKEND
CALI CD TX


HOLES
DOM
EXPLORE
WILD COUPLES
BONDAGE
PIG LEATHER

BEARS
MILD
TOYS
FILLED
LTR
SUB WATER POZ
BTM


TEND
FASHION
ODD PIERCED
SERIOUSLY
ARTLAIDBACK
LATINOS
MOMENTS
PIERCED
LTR
WHITES
WANNA
FOOL

HATE


PerformanceandScene
DISCUSSIONPART 8/8

+ So what do we know about how users perform social identity?
+ Users sculpt similarity by appealing to matches and dissimilarity
by dissociating from trolls.

I’m a well put together & I’m not into GROSS,
adjusted 40’s guy. Fun, GAMES, LIARS,
educated, Driven, Self CHEATERS/PARTNERED
Employed Professional, MEN, or ANONYMOUS
Private, Quiet, Focused & SEX.
Healthy.

MORE LIKE THESE LESS LIKE THESE
MATCHES TROLLS


PerformanceandScene
DISCUSSIONPART 8/8

+ So what do we know about how users perform social identity?
+ Users sculpt similarity by appealing to matches and dissimilarity
by dissociating from trolls.
+ Users sculpt identitythrough references to public and private
behavior.

MORE LIKE THESE LESS LIKE THESE
MATCHES TROLLS


PerformanceandScene
DISCUSSIONPART 8/8 MORE LIKE THESE
MATCHES

+ Jocks sculpt similarity through appeals to ACTIVE LIFESTYLES, SPORTS,
GYM, FITNESS, and VERNACULARin a public ceremony.

Me: 6’ tall, 180 lb, 6% body fat.
Loves working out anything
I work out 5x a week that challenges me mentally
an am a pretty in and physically.
shape guy

Wuz up . . . Lifting
&blading


PerformanceandScene
DISCUSSIONPART 8/8 MORE LIKE THESE
MATCHES

+ Leather users sculpt similarity through appeals to NONSTANDARD
LIFESTYLES, KINK SEX, andSUBCULTURAL PARAPHERNALIAin a private
ceremony.

Available to please a
guy, worship his body, Feel free to spit on me or
following orders. verbally insult me.
Bondage, hoods, gags, nipplepl
ay.
Looking for eager or
curious subs and
doms.


PerformanceandScene
DISCUSSIONPART 8/8

+ When a performance displays behavior that is contradictory of
the scene as a category, it is difficult to classify that user.

Normal guy, going to work Love gangbangs, anon
every day and enjoying life. (blindfolded cool), pump and
Love to travel and create dump style fucking. Can get
adventures. What’s up with wild also, like ws and light
people flipping off others as bondage
their primary pic?


PerformanceandScene
DISCUSSIONPART 8/8

+ Jocks use VERNACULAR to appeal to matches, whileleather users (if
at all) use VERNACULAR to dissociate from trolls.
“Don’t sup me, or you will be ignored.”

“Sup guys, chill dude here lookin to
chat.”


PerformanceandScene
DISCUSSIONPART 8/8


chat.”
+ Due to stereotypes which suggest leather-identified men are
unorthodox, some attempt to repair their image through appeals
to ACTIVE/STABLE LIFESTYLES and EMPLOYMENT.
“I am basically blue collar who works very hard.”

“Easy goin, outdoors camp kayak hike bike.”


PerformanceandScene
DISCUSSIONPART 8/8


chat.”
+ Due to stereotypes which suggest leather-identified men are
unorthodox, some attempt to repair their image through appeals
to ACTIVE/STABLE LIFESTYLES and EMPLOYMENT.
“I am basically blue collar who works very hard.”

“Easy goin, outdoors camp kayak hike bike.”

+ Jocks more often than other scenesdissociate from trolls
through references to BODY TYPE.
“ONLY into guys who r in good shape”
“Please be fit if not we probably wont work.”

PerformanceandScene
CONCLUSIONFINALE

+ Tried to classify users on A4A based on performance.


PerformanceandScene
CONCLUSIONFINALE

+ Naïve-Bayes classifier returned okay results, but failed to capture
the subtle complexities of discourse structure.


PerformanceandScene
CONCLUSIONFINALE

+ There are regularities and systematicities to performance that the
classifier missed.


PerformanceandScene
CONCLUSIONFINALE

classifier missed.
+ Training on a larger corpus may improve results.


PerformanceandScene
CONCLUSIONFINALE

classifier missed.
+ Tagging each performance for shifts in target audience may
improve results.


PerformanceandScene
CONCLUSIONFINALE

classifier missed.
improve results.
+ Tagging each performance for shifts in discussion of public or
private behavior may improve results.


PerformanceandScene
CONCLUSIONFINALE

classifier missed.
improve results.
+ Tagging each performance for shifts in discussion of public or
private behavior may improve results.
+ Or use other classifiers, like Support Vector Machines.


Performance and Scene

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