Overview : The Design, Adoption, and Analysis of a Visual Document Mining Tool for Investigative Journalists

For an investigative journalist, a large collection of documents obtained from a Freedom of Information Act request or a leak is both a blessing and a curse: such material may contain multiple newsworthy stories, but it can be difficult and time consuming to find relevant documents. Standard text se...

Ausführliche Beschreibung

Bibliographische Detailangaben
Veröffentlicht in:IEEE transactions on visualization and computer graphics. - 1996. - 20(2014), 12 vom: 26. Dez., Seite 2271-80
1. Verfasser: Brehmer, Matthew (VerfasserIn)
Weitere Verfasser: Ingram, Stephen, Stray, Jonathan, Munzner, Tamara
Format: Online-Aufsatz
Sprache:English
Veröffentlicht: 2014
Zugriff auf das übergeordnete Werk:IEEE transactions on visualization and computer graphics
Schlagworte:Journal Article Research Support, Non-U.S. Gov't
LEADER 01000naa a22002652 4500
001 NLM252626850
003 DE-627
005 20231224164518.0
007 cr uuu---uuuuu
008 231224s2014 xx |||||o 00| ||eng c
024 7 |a 10.1109/TVCG.2014.2346431  |2 doi 
028 5 2 |a pubmed24n0842.xml 
035 |a (DE-627)NLM252626850 
035 |a (NLM)26356941 
040 |a DE-627  |b ger  |c DE-627  |e rakwb 
041 |a eng 
100 1 |a Brehmer, Matthew  |e verfasserin  |4 aut 
245 1 0 |a Overview  |b The Design, Adoption, and Analysis of a Visual Document Mining Tool for Investigative Journalists 
264 1 |c 2014 
336 |a Text  |b txt  |2 rdacontent 
337 |a ƒaComputermedien  |b c  |2 rdamedia 
338 |a ƒa Online-Ressource  |b cr  |2 rdacarrier 
500 |a Date Completed 20.05.2016 
500 |a Date Revised 11.09.2015 
500 |a published: Print 
500 |a Citation Status MEDLINE 
520 |a For an investigative journalist, a large collection of documents obtained from a Freedom of Information Act request or a leak is both a blessing and a curse: such material may contain multiple newsworthy stories, but it can be difficult and time consuming to find relevant documents. Standard text search is useful, but even if the search target is known it may not be possible to formulate an effective query. In addition, summarization is an important non-search task. We present Overview, an application for the systematic analysis of large document collections based on document clustering, visualization, and tagging. This work contributes to the small set of design studies which evaluate a visualization system "in the wild", and we report on six case studies where Overview was voluntarily used by self-initiated journalists to produce published stories. We find that the frequently-used language of "exploring" a document collection is both too vague and too narrow to capture how journalists actually used our application. Our iterative process, including multiple rounds of deployment and observations of real world usage, led to a much more specific characterization of tasks. We analyze and justify the visual encoding and interaction techniques used in Overview's design with respect to our final task abstractions, and propose generalizable lessons for visualization design methodology 
650 4 |a Journal Article 
650 4 |a Research Support, Non-U.S. Gov't 
700 1 |a Ingram, Stephen  |e verfasserin  |4 aut 
700 1 |a Stray, Jonathan  |e verfasserin  |4 aut 
700 1 |a Munzner, Tamara  |e verfasserin  |4 aut 
773 0 8 |i Enthalten in  |t IEEE transactions on visualization and computer graphics  |d 1996  |g 20(2014), 12 vom: 26. Dez., Seite 2271-80  |w (DE-627)NLM098269445  |x 1941-0506  |7 nnns 
773 1 8 |g volume:20  |g year:2014  |g number:12  |g day:26  |g month:12  |g pages:2271-80 
856 4 0 |u http://dx.doi.org/10.1109/TVCG.2014.2346431  |3 Volltext 
912 |a GBV_USEFLAG_A 
912 |a SYSFLAG_A 
912 |a GBV_NLM 
912 |a GBV_ILN_350 
951 |a AR 
952 |d 20  |j 2014  |e 12  |b 26  |c 12  |h 2271-80