Analysing User Generated Content for social science
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The document discusses the analysis of user-generated content in the Italian blogosphere to explore generational discourse, highlighting a study that identified 45 keywords through focus groups and gathered data from 3,000 blog entries. The findings suggest that media products can trigger personal and generational memories, reinforcing the idea that user-generated content significantly reflects and influences generational identities. Limitations include challenges in data accuracy and the need for improved filtering technology for online profiles.
![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?](https://image.slidesharecdn.com/presentazionemanchester-1213724145299847-8/85/Analysing-User-Generated-Content-for-social-science-7-320.jpg)
![media&generation/ conclusions “ 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)](https://image.slidesharecdn.com/presentazionemanchester-1213724145299847-8/85/Analysing-User-Generated-Content-for-social-science-10-320.jpg)
![http://mediageneration.wordpress.com [email_address] [email_address] http://www.soc.uniurb.it/larica](https://image.slidesharecdn.com/presentazionemanchester-1213724145299847-8/85/Analysing-User-Generated-Content-for-social-science-13-320.jpg)
Analysing User Generated Content for social science
- 1. Analysing User Generated Content for social science Generational “we sense” in the Italian blogosphere Luca Rossi - Giovani Boccia Artieri LaRiCA / University of Urbino “Carlo Bo”
- 2. persistence/ easy to search/ addressed to an unknowable audience/ easy to replicate/ (boyd 2007) Growing availability of User Generated Content: wesearch/ scenario
- 3. wesearch/ methodology Keywords Identification Through 5 focus groups we’ve identified 45 media products to be used as keywords to investigate online discourses
- 4. wesearch/ methodology 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
- 5. Storage of blog entries and retrieval of authors’ information a) Incremental storage of RSS entries b) Scraping of authors’ information wesearch/ methodology supported platforms: Blogger ITA / ENG Flickr ENG Il Cannocchiale ENG Libero ITA Splinder ITA Windows Live Space ENG YouTube ENG
- 6. Summary of collected data starting set of keyword: 45 retrieved blogs entries: 3000 cases with authors’ data: 928 wesearch/ methodology
- 7. 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?
- 8. media&generation/ conclusions Media products are anchors for personal memories which can be used in an individual or a generational way.
- 9. media&generation/ conclusions “ I chose to start the nursery class. My nursery-syndrome and the fact that I watched Candy Candy when I was a child, made me choose this university degree ” (F. female 25 years old)
- 10. media&generation/ conclusions “ 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)
- 11. 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
- 12. media&generation/ limits& possibilities users share their personal data online qualitative analysis of large quantity of data high qualitative value of ugc
- 13. http://mediageneration.wordpress.com [email_address] [email_address] http://www.soc.uniurb.it/larica