Analysing User Generated Content for social science

media&generationPRIN - National Research Project

4th International Conference on e-Social ScienceManchester, 18th-20th June 2008

Analysing User Generated Content for social science Generational “we sense” in the Italian blogosphere

Luca Rossi - Giovani Boccia ArtieriLaRiCA / University of Urbino “Carlo Bo”



persistence/easy to search/addressed to an unknowable audience/ easy to replicate/(boyd 2007)

Growing availability of User Generated Content:

wesearch/scenario



wesearch/methodology

Keywords Identification

Through 5 focus groups we’ve identified 45 media products to be used as keywords to investigate online discourses




Query strings definition

a) Avoid unwanted responses (spam)b) Obtain the full text of every blog entry (yahoo pipes)c) choose between chronological or “by relevance” output



Storage of blog entries and retrieval of authors’ information

a) Incremental storage of RSS entriesb) Scraping of authors’ information


supported platforms:

Blogger ITA / ENGFlickr ENGIl Cannocchiale ENGLibero ITASplinder ITAWindows Live Space ENGYouTube ENG



Summary of collected data

starting set of keyword: 45retrieved blogs entries: 3000cases with authors’ data: 928




media&generation/research

Is it possible to use ugc to observe the emergence of the generational discourse?

[ world-wide, media based, generational wesense (Edmunds, Turner 2005) ]

May specific media products get user generated generational discourses started?



media&generation/conclusions

Media products are anchors for personal memories which can be used in an individual or a generational way.




“I chose to start the nursery class. My nursery-syndrome and the fact that Iwatched Candy Candy when I was a child,made me choose this university degree ”(F. female 25 years old)




“And we who are in the age of 30’s, we belong to the Tiger Mask generation, we can’t change it […] We had good times, watching cartoons and TV series that left their mark. ”(A. male 32 years old)



media&generation/limits&possibilities

- average age of online content producers- accuracy of published data- automatically updated online profiles- need of a more accurate filter technology



media&generation/limits&possibilities

- users share their personal data online- qualitative analysis of large quantity of data- high qualitative value of ugc



http://mediageneration.wordpress.comluca.rossi@[email protected]://www.soc.uniurb.it/larica

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Analysing User Generated Content for social science

Technology