TY - GEN
T1 - Diamonds in the rough
T2 - 1st IEEE Conference on Visual Analytics Science and Technology, VAST 10
AU - Diakopoulos, Nicholas
AU - Naaman, Mor
AU - Kivran-Swaine, Funda
PY - 2010
Y1 - 2010
N2 - Journalists increasingly turn to social media sources such as Facebook or Twitter to support their coverage of various news events. For large-scale events such as televised debates and speeches, the amount of content on social media can easily become overwhelming, yet still contain information that may aid and augment reporting via individual content items as well as via aggregate information from the crowd's response. In this work we present a visual analytic tool, Vox Civitas, designed to help journalists and media professionals extract news value from large-scale aggregations of social media content around broadcast events. We discuss the design of the tool, present the text analysis techniques used to enable the presentation, and provide details on the visual and interaction design. We provide an exploratory evaluation based on a user study in which journalists interacted with the system to explore and report on a dataset of over one hundred thousand twitter messages collected during the U.S. State of the Union presidential address in 2010.
AB - Journalists increasingly turn to social media sources such as Facebook or Twitter to support their coverage of various news events. For large-scale events such as televised debates and speeches, the amount of content on social media can easily become overwhelming, yet still contain information that may aid and augment reporting via individual content items as well as via aggregate information from the crowd's response. In this work we present a visual analytic tool, Vox Civitas, designed to help journalists and media professionals extract news value from large-scale aggregations of social media content around broadcast events. We discuss the design of the tool, present the text analysis techniques used to enable the presentation, and provide details on the visual and interaction design. We provide an exploratory evaluation based on a user study in which journalists interacted with the system to explore and report on a dataset of over one hundred thousand twitter messages collected during the U.S. State of the Union presidential address in 2010.
KW - Computational journalism
KW - Computer assisted reporting
KW - H.5.2 information interfaces and presentation: user interfaces
KW - Sensemaking
KW - Social media
UR - http://www.scopus.com/inward/record.url?scp=78650932059&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=78650932059&partnerID=8YFLogxK
U2 - 10.1109/VAST.2010.5652922
DO - 10.1109/VAST.2010.5652922
M3 - Conference contribution
AN - SCOPUS:78650932059
SN - 9781424494866
T3 - VAST 10 - IEEE Conference on Visual Analytics Science and Technology 2010, Proceedings
SP - 115
EP - 122
BT - VAST 10 - IEEE Conference on Visual Analytics Science and Technology 2010, Proceedings
Y2 - 24 October 2010 through 29 October 2010
ER -