IEEEVAST 2010 - PDF Preprint Papers

IEEEVAST 2010

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IEEEVAST
2010

191views Emerging Technology» more IEEEVAST 2010»

Diamonds in the rough: Social media visual analytics for journalistic inquiry

13 years 6 months ago

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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 debate...

Nicholas Diakopoulos, Mor Naaman, Funda Kivran-Swa...

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Id	Views	Title	Status

1	191	Diamonds in the rough: Social media visual analytics for journalistic inquiry	claim
2	178	Anomaly detection in GPS data based on visual analytics	claim
3	171	Finding and visualizing relevant subspaces for clustering high-dimensional astronomical data using connected morphological operators	claim
4	168	ALIDA: Using machine learning for intent discernment in visual analytics interfaces	claim
5	162	Click2Annotate: Automated Insight Externalization with rich semantics	claim
6	162	An exploratory study of co-located collaborative visual analytics around a tabletop display	claim
7	162	Geo-historical context support for information foraging and sensemaking: Conceptual model, implementation, and assessment	claim
8	156	GeneTracer: Gene sequence analysis of disease mutations VAST 2010 mini challenge 3 award: Excellent process explanation	claim
9	151	Helping users recall their reasoning process	claim
10	143	NetClinic: Interactive visualization to enhance automated fault diagnosis in enterprise networks	claim
11	142	A continuous analysis process between desktop and collaborative visual analytics environments	claim
12	141	Improving the visual analysis of high-dimensional datasets using quality measures	claim
13	137	Interactive querying of temporal data using a comic strip metaphor	claim
14	136	DimStiller: Workflows for dimensional analysis and reduction	claim
15	135	Flow-based scatterplots for sensitivity analysis	claim
16	132	Visually representing geo-temporal differences	claim
17	124	Interactive visual analysis of multiobjective optimizations	claim
18	117	Comparing different levels of interaction constraints for deriving visual problem isomorphs	claim
19	103	Understanding text corpora with multiple facets	claim
20	102	A visual analytics approach to model learning	claim

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