06 October 2008

Twitter motifs



these are themes i see repeatedly in twitter jokes

it's not meant as a criticism
but as a step towards semanticweb-ai-tagset

they're arranged as a storysequence as far as possible


stayed up all night
insomnia
noisy neighbors
woke late
dream
morning wood
hungover
morning mouth
woke in strange place
woke with strange bedmate
woken by kids/pets

need coffee
hair of dog
strange breakfast
high-calorie breakfast
leftovers for breakfast

strange dress for work
late to work
skip work
unemployed
self-employed
to-do list

internet addictions
videogame addictions
teevee addictions
wasting time
ocd

exercise/gym
music soundtrack

commute
weird co-workers
stupid bosses
stupid software
poor social skills
asperger's

boring life
no friends
clumsy flirting

getting favrd
getting followers
losing followers

if life were like tv/games/movies

better software ideas






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One-bit nanoblogs




flickr and twitter
support near-identical
onebit 'nanoblogs' of faves

subscribeable via rss

hackable via api

hacking sequence:

download own faves' ids (count them)
save in a database
sort by author
rank by authorcount

for each author
download itemcount (save in db)
re-rank by fave frequency

detect densest faved authors
not already subscribed-to

download ids of faves of densest author
(save in db)
compare to own faves

calculate degree of taste-overlap
(twitter is different from flickr
because older tweets are rarely faved
so overlap won't extend back
past the more recent of 2 join-dates)

gradually extend database of others' faves

try to detect
still-unseen items
frequently faved by similar favers






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m&mworld




replace each human with an m&m




color each m&m
according to its philosophy




when their philosophy changes dramatically
their color changes as well




some never change, from birth




some share their parents philosophy

some don't







healthy whole personalities are represented
by whole m&ms

broken and wounded personalities
by broken m&ms




the tragedy of being broken
is normally blamed on another broken m&m







.

Machine-optimised 'explore'




each time we rate
any item of content
our software ought to adjust
its predictions about
other content's ratings

unseen content
by the same author
should be rated similarly

other raters
who rated that content similarly
should be rated similar
(ditto for un-similar)

unseen content
rated highly by
these similar raters
should be 'rated up'




every moment is a choicepoint
(which next?)
(which to queue for later?)

nextbestunseen by sameauthor

bestunseen by similarraters

bestunseen overall

newifany by knownfaveauthors

newifany by knownfaveraters

faves of newauthor/rater

subscribe to authorstream/raterfaves







.

Flickr motifs/cliches




i hope to collect here
various motifs
that recur in flickr pix

one purpose
is to formalise a tagset

another
to stimulate creativity




fog-steam-smoke

outoffocus-bokeh

jumping-midair

backlit-silhouette

litfrombelow

thrufence-thruscreen-thruveil-thrucloth

thruhole

inmirror

armslengthselfportrait

overhead-groundlevel-shootingup

offcenter-tophalf-bottomhalf

tilted

lyingdown

squatting

underwater-wet

intree

detritus

makeaface-fakesmile-showtongue

strikeapose

handgesture-thefinger-peacesign

shakinghead-wildhair-hairinface-veronicalake

eyecloseup

mask

paintedskin-writingonskin

props: cigarette




kooky cliches

colored wigs/hair

eyemakeup

striped kneesocks [20,000]

asymmetrical (face)




color cliches

sunset

flowers

feathers





shock cliches

nudity

weapons

suicidal

symbols: satanic-nazi-death

blood-wounds-deadanimals

bodyslime





from website photo cliches:

StatueGroping
SeeNoEvil
LynndieEngland
ImKingOfTheWorld
JawsAtUniversal
SnortingCocaCola
FalsePhallus
KarateKidPose

also: perspectivegiant






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