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Visualizing Research Topics in Facebook Conversations

Conference Paper
Publication Date:
2017
abstract:
In the last few years, the growth of Social Media has changed significantly the way in which information and ideas of any kind are made, spent and reported. As a result, information has gradually shifted from "official" sources (online newspapers, institutional websites, etc.) to user-generated-content (UGG). This research arises from these premises: UGGs offer an interesting opportunity for a multidisciplinary analysis. The authors investigate Facebook conversations and status from the linguistic point of view, to know possible educational implications, starting from data visualization process. Our case study are seven years of conversations of the largest and longest running Italian Facebook group named "ROARS".
Iris type:
04.01 Contributo in Atti di convegno
Keywords:
natural language processing; interactive information visualization; knowledge building; social media mining; visual topic modeling
List of contributors:
Guarasci, Raffaele
Authors of the University:
GUARASCI RAFFAELE
Handle:
https://iris.cnr.it/handle/20.500.14243/420127
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URL

http://www.mdpi.com/2504-3900/1/9/895
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