TY - GEN
AU - Wagner, Claudia
AU - Singer, Philipp
AU - Posch, Lisa
AU - Strohmaier, Markus
AU - Cimiano, Philipp
AU - Corcho, Oscar
AU - Presutti, Valentina
AU - Hollink, Laura
AU - Rudolph, Sebastian
TI - The Wisdom of the Audience: An Empirical Study of Social Semantics in Twitter Streams
PB - Springer
KW - Twitter
KW - Fachwissen
KW - Semantik
KW - Internet
KW - soziales Netzwerk
KW - kollektives Wissen
KW - computervermittelte Kommunikation
KW - Bedeutung
KW - Methodenvergleich
KW - Netzgemeinschaft
KW - Background Knowledge
KW - Topic Model
KW - Latent Dirichlet Allocation
KW - Twitter Message
KW - Audience User
KW - Semantic Web
PY - 2013
N2 - Veröffentlichungsversion
N2 - begutachtet (peer reviewed)
N2 - In: Cimiano, Philipp (Hg.), Corcho, Oscar (Hg.), Presutti, Valentina (Hg.), Hollink, Laura (Hg.), Rudolph, Sebastian (Hg.): The Semantic Web: Semantics and Big Data; 10th International Conference, ESWC 2013, Montpellier, France, May 26-30, 2013: Proceedings. 2013. S. 502-516. ISBN 978-3-642-38288-8
N2 - Interpreting the meaning of a document represents a fundamental challenge for current semantic analysis methods. One interesting aspect mostly neglected by existing methods is that authors of a document usually assume certain background knowledge of their intended audience. Based on this knowledge, authors usually decide what to communicate and how to communicate it. Traditionally, this kind of knowledge has been elusive to semantic analysis methods. However, with the rise of social media such as Twitter, background knowledge of intended audiences (i.e., the community of potential readers) has become explicit to some extents, i.e., it can be modeled and estimated. In this paper, we (i) systematically compare different methods for estimating background knowledge of different audiences on Twitter and (ii) investigate to what extent the background knowledge of audiences is useful for interpreting the meaning of social media messages. We find that estimating the background knowledge of social media audiences may indeed be useful for interpreting the meaning of social media messages, but that its utility depends on manifested structural characteristics of message streams.
BT - The Semantic Web: Semantics and Big Data; 10th International Conference, ESWC 2013, Montpellier, France, May 26-30, 2013: Proceedings ; Bd. 7882
BT - Lecture Notes in Computer Science (LNCS) ; Bd. 7882
BT - Interaktive, elektronische Medien
CY - Berlin
UR - http://slubdd.de/katalog?TN_libero_mab2
ER -
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