Social Media-Based Collaborative Information Access: Analysis of Online Crisis-Related Twitter Conversations
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10 juillet 2016
- handle: 10670/1.p31pcx
- hal: hal-03597237
- doi: 10.1145/2914586.2914589
- SCIENCESPO: 2441/6bei5rgsa195cb3uvde4954l2q
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info:eu-repo/semantics/altIdentifier/doi/10.1145/2914586.2914589
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info:eu-repo/semantics/altIdentifier/hdl/2441/6bei5rgsa195cb3uvde4954l2q
http://creativecommons.org/licenses/by-nc-sa/ , info:eu-repo/semantics/OpenAccess
Mots-clés
Collaboration Information Access Twitter Topic Mod-els Social Networks -Computer Interaction [cs.HC]Sujets proches
Natural science Sciences Science of scienceCiter ce document
Lynda Tamine et al., « Social Media-Based Collaborative Information Access: Analysis of Online Crisis-Related Twitter Conversations », Archive ouverte de Sciences Po (SPIRE), ID : 10.1145/2914586.2914589
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Résumé
The notion of implicit (or explicit) collaborative information access refers to systems and practices allowing a group of users to unintentionally (respectively intentionally) seek, share and retrieve information to achieve similar (respectively shared) information-related goals. Despite an increasing adoption in social environments, collaboration behavior in information seeking and retrieval is mainly limited to small-sized groups, generally restricted to working spaces. Much remains to be learned about collaborative information seeking within open web social spaces. This paper is an attempt to better understand either implicit or explicit collaboration by studying Twitter, one of the most popular and widely used social networks. We study in particular the complex intertwinement of human interactions induced by both collaboration and social networking. We empirically explore explicit collaborative interactions based on focused conversation streams during two crisis. We identify structural patterns of temporally representative conversation subgraphs and represent their topics using Latent Dirichlet Allocation (LDA) modeling. Our main findings suggest that: 1) the critical mass of collaboration is generally limited to small-sized flat networks, with or without an influential user, 2) users are active as members of weakly overlapping groups and engage in numerous collaborative search and sharing tasks dealing with different topics, and 3) collaborative group ties evolve within the time-span of conversations.