2. Phd candidate at:
Milan Politecnico,
Design Faculty
Density Design Lab
founder and designer at:
Accurat
information design company in Milan
visiting researcher at:
Piim
Parsons Institute for Information Mapping,
Sept 2012 > Feb 2013
3. research general aim:
How emerging large-scale
temporal and geographic social
media data can inform the structure
and social temperature of a city?
4. Twitter over 500 million active users as of 2012,
generating over 340 million tweets daily
6. Twitter
how aggregations
is changing
thorugh time,
and to compare
precise places
with area overall
contributions
++
to be compared
with popoulation
(residents + city users)
per area
8. Foursquare As of April 2012, the company reported it
had 20 million registered users.
9. Instagram
currently, 100 million registered users
10. how to make those
data worth?
how to extract some urban
knowledge out of social media
data?
11. understanding
data-nature:
why do people share?
spontaneity?
”you’re not dealing with a
100% of life-logging; the
terrific thing with those
contents it’s an interesting
mapping of somethinghalf-
way between reality and
people’s aspirations“
12. social media
metadata
social media
urban questions characterization
and behaviors
crossing
and enlightening
potentialities
13. how to make those
data worth?
selection some interesting fields of
application according to the nature
of data
environmental
perception
patterns of activities
in different places
areas tematizations
identity of places
environmental
perception
discovering city users
the temporary city
dynamicity
patterns evolving through time
popoulaton during special events
15. open questions, so far:
(1) topology
1. Can we use social media to understand contribution patterns based on
location, time and topic? Can we build a picture of overall emotional content
and / or meaning from this information?
2. Where to people contribute data from the most? Where are they most likely
to comment on topics of policy or broad social impact to the city?
3. Can we “map” emotions? Does the built environment impact these emotions
and how?
4. Are there communication “dead zones”?
5. How does seasonality and commuter patterns or tourism impact the social
information being reported?
16. open questions, so far:
(2) areas / neighborhood
identity:
1. Can we use social media to understand how neighborhoods are
perceived?
2. How flexible / overlapping are neighborhood boundaries?
3. What typifies social media involvement at a neighborhood scale? Why
area certain neighborhoods similar or different in their useage patterns?
4. How does seasonality influence these patterns?
24. Instagram
how to read it?
1) place typology
2) places view 5) use of filters
- outside of buildings (5) use of filters *info available from API / not to be
- aerial wide zoom
several buildings (entire block or more) residential skyscraper done manually
- aerial 2 or 3 blocks
residential low density houses archistar / famous buildings normal / no filters
- street perspective (45°)
offices / work XproII / warm saturated tones with an emphasis on
- frontal at street level
old / historical aquas and greens
- from the window out to the block
churchs Earlybird / blurred colors, with an emphasis on
- from the bottom to the sky
shops yellow and beige
- through fences and nets
garages Lomo-fi / Dreamy, ever-so-slightly blurry, with
- terrace views
saturated yellows and greens
- inside of buildings residential / apartments shop
Sutro / Sepia-like, with an emphasis on purples and
local / bars / restaurants
browns
- street crossing Toaster / high exposure, with corner vignetting
Brannan / Low-key, with an emphasis on grays and
sidewalk 3) timestamp info greens
street signals street art / graffici street with cars Valencia / True-to-life contrast, with slightly gray and
- sunset brown overtones
- natural landscapes parks - nightime
lots of (crowd) / event 5 to 10
rivers - zoo less than 5
singular portrait
- empty areas / others
public squares / plaza skateparks Inkwell / Black-and-white, high-contrast
basketball fields Walden / Washed-out color with bluish overtones
others to be listed for each one
4) presence of people Hefe / Fuzziness, with an emphasis on yellow and
- yes golden tones
groups Effect / harp images with a magenta-meets-purple
parkings stadium tint, framed by a distinctive film-strip-esque border
self portaiting
market abandoned yard 1977 / Gloria Gaynor-level '70s flair
...
- no Lord Kelvin / Super-saturated, supremely retro
- infrastructures bridges photos with a distinctive scratchy border
highways
underground tracks / station
25. Pleens
Pleens is a tool to
discover stories, journeys
and products told starting
from the place you, or
your friends, are in when
you launch an app: what
really matters is not
geography or proximity
but narration.
Geolocalized stories may
include suggestions for
tryouts and purchases,
provided they are related
to the narration and to
the emotional context.
28. giorgia lupi
christopher goranson
Depicting Perceived Cityscapes
multiple images of the city through
User Generated Content
glupi161@newschool.edu
gornasoc@newschool.edu
http://piim.newschool.edu/
www.giorgialupi.net
-
Oct 2, 2012
