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Giovanni [.] Boccia Artieri [@uniurb.it]
Laura [.] Gemini [@uniurb.it]
Manolo [.] Farci [@uniurb.it]
Elisabetta [.] Zurovac [@uniurb.it]
Così vicini, così lontani: la via italiana ai social network
Milano, 26-27 settembre 2013
Il contesto teorico dell’analisi
• Studi visuali
• Immaginario catastrofico
• Uso delle tecnologie di
connessione durante gli eventi
catastrofici (Twitter)
Il campione
Twitter nel primo giorno del #terremoto 20 maggio 2012:
31318 tweet
4256 tweet contententi immagini
700 immagini caricate e condivise
L’oggetto
Produzione soggettiva grassroot di immagini
Il dispositivo di raccolta
YourTwapperKeeper
IMMAGINI TIPO
Categorie di immagini su Twitter durante il #terremoto
1. La notizia fornita da un influencer
(Huges and Palen 2009; Bruns and Burges 2012)
A. Sharing information/organization
2. I danni causati dal terremoto
3. Dati geo-localizzati
(Mendoza and Poblete 2010; Sutton et al. 2008) 1. Critica nei confronti dei media
B. Community-based “quality check” of spreading information
2. L’auto-referenza di Twitter
1. Immagini confortanti
C. User-generated crisis narration
(Robinson 2009; Liu 2009)
2. Immagini di vita quotidiana
3. Emozioni connesse
Analisi quantitativa: verso le immagini-icona
-100
0
100
200
300
400
500
600
700
800
900
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24
User-generated crisis narration
Sharing information/organization
Community-based “quality check” of spreading
information
Categorie delle immagini nel flusso temporale delle prime 24h
83%
17%
Frequenza dell’immagine con il maggior numero di RT
0%
2%
4%
6%
8%
10%
12%
14%
16%
18%
20%
%
Tipologia Immagini
Confronto delle frequenze delle immagini
Le IMMAGINI-ICONA: le immagini più RT #terremoto
Immagini Icona
A. Foto shock di tipo mediale (il crollo dei
monumenti e degli edifici storici)
Immagini Icona
B. Foto shock dell’esperienza individuale
Immagini Icona
C. La mappa #hashtag terremoto
PRIME OSSERVAZIONI
1. Nella prima giornata del terremoto le immagini icona hanno svolto
due funzioni:
a. Funzione informativa (re-fero) attraverso la ripetizione (dispositivo
tipico dei media mainstream – C. Chéroux) e lo sharing (modello
grassroots);
b. Funzione relazionale (re-ligo), le immagini e le parole che le
accompagnano diventano dei quasi-oggetti (M. Serres)
2. Le immagini icona:
a. Rimandano all’immaginario mediale della catastrofe
b. Sono unite all’esperienza condivisa, individuale e privata
c. Mostrano l’auto-referenza dell’ambiente Twitter
#domande?

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Verso una metodologia dell’analisi visuale su Twitter. Il caso del terremoto in Emilia Romagna