giorgia lupichristopher goransonDepicting Perceived Cityscapesmultiple images of the city throughUser Generated Content-Oct 2, 2012
Phd candidate at:Milan Politecnico,Design FacultyDensity Design Labfounder and designer at:Accuratinformation design company in Milanvisiting researcher at:PiimParsons Institute for Information Mapping,Sept 2012 > Feb 2013
research general aim:How emerging large-scaletemporal and geographic socialmedia data can inform the structureand social temperature of a city?
Twitter over 500 million active users as of 2012, generating over 340 million tweets daily
TwitterDistribution ofGeographicallyReferenced Data(clusters and concentration)of the people that wantsto share their position.
Twitterhow aggregationsis changingthorugh time,and to compareprecise placeswith area overallcontributions++to be comparedwith popoulation(residents + city users)per area
Twittergroups /differencesbetween spokenlanguages use the cityin terms of temporalityand spatial distribution.
Foursquare As of April 2012, the company reported it had 20 million registered users.
Instagram currently, 100 million registered users
how to make thosedata worth?how to extract some urbanknowledge out of social mediadata?
understandingdata-nature:why do people share?spontaneity?”you’re not dealing with a100% of life-logging; theterriﬁc thing with thosecontents it’s an interestingmapping of somethinghalf-way between reality andpeople’s aspirations“
social media metadata social mediaurban questions characterization and behaviors crossing and enlightening potentialities
how to make thosedata worth?selection some interesting ﬁelds ofapplication according to the natureof 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
places perceptionand placesidentity:is it possible to build indicatorsof urban perception and healththrough social mediacontributions?
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?
open questions, so far:(2) areas / neighborhoodidentity: 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?
Instagramhow 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 zoomseveral buildings (entire block or more) residential skyscraper done manually - aerial 2 or 3 blocksresidential 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 levelold / historical aquas and greens - from the window out to the blockchurchs Earlybird / blurred colors, with an emphasis on - from the bottom to the skyshops yellow and beige - through fences and netsgarages 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 andlocal / bars / restaurants browns- street crossing Toaster / high exposure, with corner vignetting Brannan / Low-key, with an emphasis on grays andsidewalk 3) timestamp info greensstreet 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 10rivers - zoo less than 5 singular portrait- empty areas / otherspublic squares / plaza skateparks Inkwell / Black-and-white, high-contrastbasketball ﬁelds Walden / Washed-out color with bluish overtonesothers 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-purpleparkings stadium tint, framed by a distinctive ﬁlm-strip-esque border self portaitingmarket abandoned yard 1977 / Gloria Gaynor-level 70s ﬂair ... - no Lord Kelvin / Super-saturated, supremely retro- infrastructures bridges photos with a distinctive scratchy borderhighwaysunderground tracks / station
PleensPleens is a tool todiscover stories, journeysand products told startingfrom the place you, oryour friends, are in whenyou launch an app: whatreally matters is notgeography or proximitybut narration.Geolocalized stories mayinclude suggestions fortryouts and purchases,provided they are relatedto the narration and tothe emotional context.
giorgia lupichristopher goransonDepicting Perceived Cityscapesmultiple images of the city throughUser Generated Contentglupi161@firstname.lastname@example.org://piim.newschool.edu/www.giorgialupi.net-Oct 2, 2012