ACM Home Page
Please provide us with feedback. Feedback
Videolyzer: quality analysis of online informational video for bloggers and journalists
Full text PdfPdf (966 KB)
Source
Conference on Human Factors in Computing Systems archive
Proceedings of the 27th international conference on Human factors in computing systems table of contents
Boston, MA, USA
SESSION: Looking at videos table of contents
Pages 799-808  
Year of Publication: 2009
ISBN:978-1-60558-246-7
Authors
Nicholas Diakopoulos  Georgia Institute of Technology, Atlanta, GA, USA
Sergio Goldenberg  Georgia Institute of Technology, Atlanta, GA, USA
Irfan Essa  Georgia Institute of Technology, Atlanta, GA, USA
Sponsors
SIGCHI: ACM Special Interest Group on Computer-Human Interaction
ACM: Association for Computing Machinery
Publisher
ACM  New York, NY, USA
Bibliometrics
Downloads (6 Weeks): 13,   Downloads (12 Months): 155,   Citation Count: 0
Additional Information:

abstract   references   index terms   collaborative colleagues  

Tools and Actions: Request Permissions Request Permissions    Review this Article  
DOI Bookmark: Use this link to bookmark this Article: http://doi.acm.org/10.1145/1518701.1518824
What is a DOI?

ABSTRACT

Tools to aid people in making sense of the information quality of online informational video are essential for media consumers seeking to be well informed. Our application, Videolyzer, addresses the information quality problem in video by allowing politically motivated bloggers or journalists to analyze, collect, and share criticisms of the information quality of online political videos. Our interface innovates by providing a fine-grained and tightly coupled interaction paradigm between the timeline, the time-synced transcript, and annotations. We also incorporate automatic textual and video content analysis to suggest areas of interest for further assessment by a person. We present an evaluation of Videolyzer looking at the user experience, usefulness, and behavior around the novel features of the UI as well as report on the collaborative dynamic of the discourse generated with the tool.


REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

 
1
Compendium. http://compendium.open.ac.uk/
 
2
Open Calais. http://www.opencalais.com
3
 
4
5
6
7
8
 
9
Dieberger, A., Dourish, P., Höök, K., Resnick, P. and Wexelblat, A. Social Navigation: Techniques for Building More Usable Systems interactions, 2000.
 
10
Franklin, B., Hamer, M., Hanna, M., Kinsey, M. and Richardson, J.E. Key Concepts in Journalism Studies. Sage Publications, 2005.
 
11
12
 
13
Jackson, B. and Jamieson, K.H. unSpun: finding facts in a world of disinformation. Random House Trade Paperbacks, 2007.
 
14
Keelan, J., Pavri-Garcia, V., Tomlinson, G. and Wilson, K. YouTube as a source of Information on Immunization: A Content Analysis. Journal of the American Medical Association, 298 (21). 2482--2284.
 
15
 
16
Kovach, B. and Rosenstiel, T. The Elements of Journalism: What Newspeople Should Know and the Public Should Expect. Three Rivers Press, 2007.
 
17
Leech, G. Meaning and The English Verb. Pearson Education Limited, 2004.
18
19
20
21
 
22
 
23
Simon Buckingham Shum, R.S., Michael Daw, Ben Juby, Andrew Rowley, Michelle Bachler, Clara Mancini, Danius Michaelides, Rob Procter, David De Roure, Tim Chown, Terry Hewitt. Memetic: An Infrastructure for Meeting Memory, 2006.

Collaborative Colleagues:
Nicholas Diakopoulos: colleagues
Sergio Goldenberg: colleagues
Irfan Essa: colleagues