Go to Matthias's content analysis page
Date: Mon, 03 Jan 2000 12:46:26 -0500 (EST)
From: Bill Evans <jouwee@panther.Gsu.EDU>
To: content@sphinx.Gsu.EDU
Lewis, R. Barry. "SIMSTAT with WORDSTAT: A Comprehensive
Statistical Package with a Content Analysis Module." Field
Methods 11, no. 2 (1999): 166-179.
The author praises SIMSTAT with WORDSTAT, claiming that they
"offer features usually found only in statistical packages
costing several hundreds of dollars more" (SIMSTAT for Windows
sells for $129; the WORDSTAT 2.0 module sells for $89). The author
says relatively little about WORDSTAT per se except to note that
he finds it powerful and easy to use. He writes: "If quantitative
analysis of relatively small chunks of text is what you do, then
WORDSTAT may be hard to beat, especially given its price."
The WORDSTAT web site can be found at
http://www.simstat.com/wordstat.htm or by pursuing the "Software"
links at the Content Analysis Resources web site
(http://www.gsu.edu/~wwwcom/content.html).
Date: Tue, 25 Jan 2000 18:37:06 -0500 (EST)
From: William Evans <jouwee@panther.Gsu.EDU>
To: content@sphinx.Gsu.EDU
Pennebaker, James W., and Laura A. King. "Linguistic Styles:
Language Use as an Individual Difference." Journal of
Personality and Social Psychology 77, no. 6 (1999):
1296-1312.
The authors collected student essays, diary entries from
substance abuse patients, and journal abstracts written by social
psychologists. These texts were analyzed using the Linguistic
Inquiry and Word Count (LIWC) software developed by the first
author. The authors found that most individuals manifested a
distinctive linguistic style. The use of emotional language,
positive and negative emotion words, large words, and choice of
verb tense were stable across individuals. Moreover, these
content analysis data were significantly correlated with
self-report and behavioral assessments of personality.
Note: the LIWC software is available through Lawrence Erlbaum
Publishers. See http://www.erlbaum.com/html/3007.htm. Or, access
the LIWC site via the Software links at the Content Analysis
Resources web site, at http://www.gsu.edu/~wwwcom/content.html.
Date: Fri, 04 Feb 2000 14:29:43 -0500 (EST)
From: William Evans <jouwee@panther.Gsu.EDU>
To: content@sphinx.Gsu.EDU
Haas, Stephanie W., and Erika S. Grams. "Readers, Authors, and
Page Structure: A Discussion of Four Questions Arising from
a Content Analysis of Web Pages." Journal of the American
Society for Information Science 51, no. 2 (2000): 181-192.
The authors review the need for, and difficulties inherent in,
content analysis of web page hyperlinks and the pages to which
these links are connected. The authors offer typologies of web
pages and links, and apply these typologies in a content analysis
of web pages.
Date: Mon, 21 Feb 2000 13:37:15 -0500 (EST)
From: William Evans <jouwee@panther.Gsu.EDU>
To: content@sphinx.Gsu.EDU
The current issue of Communications of the ACM includes six
articles on "news on demand" systems that exploit text, speech,
and video information retrieval techniques to automatically
transcribe, index, annotate, and categorize television newscasts:
Appelt, Douglas, Robert C. Bolles, Adam Cheyer, and others.
"MAESTRO: Conductor of Multimedia Analysis Technologies."
Communications of the ACM 43, no. 2 (2000): 57-63.
Boykin, Stanley, and Anderw Merlino. "Machine Learning of Event
Segmentation for News on Demand. Communications of the ACM
43, no. 2 (2000): 35-41.
Furui, Sadaoki, Katsutoshi Ohtsuki, and Zhi-Peng Zhang. "Japanese
Broadcast News Transcription and Information Extraction."
Communications of the ACM 43, no. 2 (2000): 71-73.
Gauvain, Jean-Luc, Lori Lamel, and Adda Gilles. "Transcribing
Broadcast News for Audio and Video Indexing." Communications
of the ACM 43, no. 2 (2000): 64-70.
Kubala, Francis, Sean Colbath, Daben Liu, Amit Srivastava, and
John Makhoul. "Integrated Technologies for Indexing Spoken
Language." Communications of the ACM 43, no. 2 (2000): 48-56.
Wactlar, Howard D., Alexander G. Hauptmann, Michael G. Christel,
Ricky A. Houghton, and Andreas M. Olligschlaeger.
"Complementary Video and Audio Analysis for Broadcast News
Archives." Communications of the ACM 43, no. 2 (2000):
42-47.
Date: Fri, 10 Mar 2000 12:11:48 -0500 (EST)
From: William Evans <jouwee@panther.Gsu.EDU>
To: content@sphinx.Gsu.EDU
Popping, Roel. Computer-assisted Text Analysis. Thousand Oaks,
CA: Sage, 2000.
A new volume in Sage's New Technologies for Social Research
series. Table of contents:
Chapter 1: Text analysis: What and why?
Chapter 2: Further conceptual foundations
Chapter 3: Recent approaches to quantitative text analysis
Chapter 4: Thematic text analysis
Chapter 5: Semantic text analysis
Chapter 6: Network text analysis
Chapter 7: Sampling, reliability and validity
Chapter 8: Relation to qualitative research
Chapter 9: Relation to linguistics and information retrieval
Chapter 10: Conclusion
Appendix: Computer programs
Date: Fri, 10 Mar 2000 12:29:56 -0500 (EST)
From: William Evans <jouwee@panther.Gsu.EDU>
To: content@sphinx.Gsu.EDU
Bauer, Christian, and Arno Scharl. "Quantitative Evaluation of
Web Site Content and Structure." Internet Research 10, no.
1 (2000): 31-41.
The authors review various manual and computerized procedures for
assessing web site content and interactivity. They discuss
content analysis procedures for coding HTML source code to
identify web sites' interactive and navigation features.
Date: Tue, 28 Mar 2000 11:09:39 -0500 (EST)
From: William Evans <jouwee@panther.Gsu.EDU>
To: content@sphinx.Gsu.EDU
Van den Berg, Harry, and Kees Van der Veer. "Computerized
Decision Support Systems and Text Analysis: Evaluating
CETA." Quality & Quantity 34, no. 1 (2000): 65-86.
The authors walk readers through an application of CETA content
analysis software, detailing how one might use CETA to code
newspaper editorials for evaluative language and the affective
relationships between entities mentioned in the editorials. The
authors discuss the positive and negative aspects of CETA and of
computer-supported content analysis in general. The authors
conclude that CETA and similar tools can play a valuable role in
discourse analysis, but that such tools are currently inadequate
on their own.
Information regarding CETA is available at the ProGAMMA web site,
at http://www.gamma.rug.nl. This web site can also be accessed
via the "Software" section of the Content Analysis Resources web
site, at http://www.gsu.edu/~wwwcom/content.html.
Date: Fri, 12 May 2000 19:39:21 -0400 (EDT)
From: William Evans <jouwee@panther.Gsu.EDU>
To: content@sphinx.Gsu.EDU
Noldus, Lucas P. J. J., Rudie J. H. Trienes, Andre H. M.
Hendriksen, Han Jansen, and Roland G. Jansen. "The Observer
Video-Pro: New Software for the Collection, Management, and
Presentation of Time-Structured Data From Videotapes and
Digital Media Files." Behavior Research Methods,
Instruments, & Computers 32, no. 1 (2000): 197-206.
The authors describe the features of their software product
Observer Video-Pro, a system that allows users to mark (in real
time, if desired) the onset and offset of videotaped events and
to annotate videotapes. The authors discuss how users can link
various analog and digital video sources to the Observer
Video-Pro.
Additional information regarding Observer Video-Pro can be found
at the Noldus web site or by pursuing
the "Software" links at the Content Analysis Resources web site.
Date: Mon, 29 May 2000 11:09:31 -0400 (EDT)
From: William Evans <jouwee@panther.Gsu.EDU>
To: content@sphinx.Gsu.EDU
MacWhinney, Brian. The CHILDES Project: Tools for Analyzing
Talk. 3rd ed. 2 vols. Mahwah, NJ: Lawrence Erlbaum, 2000.
MacWhinney and his colleagues have developed a suite of computer
programs for collecting, preprocessing, coding, and analyzing
transcripts of talk and conversation. This third edition of the
Child Language Data Exchange System (CHILDES) details the entire
range of CHILDES tools. Accompanying this two-volume set is a
CD-ROM that provides the CHILDES programs and several corpora of
discourse examples.
Information regarding this publication is available via the
publisher's web site (http://www.erlbaum.com). Information
regarding the CHILDES project is available at the CHILDES web
site or by pursuing the "Software" links at the
Content Analysis Resources site.
Date: Fri, 07 Jul 2000 15:37:28 -0400 (EDT)
From: William Evans <jouwee@panther.Gsu.EDU>
To: content@sphinx.Gsu.EDU
Bauer, Martin W. "Classical Content Analysis: A Review." In
Qualitative Researching with Text, Image and Sound: A
Practical Handbook, edited by Martin W. Bauer and George
Gaskell, 131-151. Thousand Oaks, CA: Sage, 2000.
The author provides an overview of traditional content analysis
procedures and concerns, including units of analysis, coding
protocols, and reliability assessment. Also included is a brief
discussion of computer-supported content analysis.
Kronberger, Nicole, and Wolfgang Wagner. "Keywords in Context:
Statistical Analysis of Text Features." In Qualitative
Researching with Text, Image and Sound: A Practical Handbook,
edited by Martin W. Bauer and George Gaskell, 299-317.
Thousand Oaks, CA: Sage, 2000.
The authors discuss how open-ended survey responses can be
analyzed with keyword-in-context techniques. More specifically,
the authors discuss how open-ended responses can be analyzed using
SPSS, a general statistical package, and ALCESTE, a computer
program for identifying word classes in texts.
Date: Sat, 08 Jul 2000 10:43:07 -0400 (EDT)
From: William Evans <jouwee@panther.Gsu.EDU>
To: content@sphinx.Gsu.EDU
A double issue of Computers and the Humanities (volume 34, nos.
1/2, April, 2000) focuses on word sense disambiguation, a knotty
problem for those who would develop or use software for content
analysis. Here is the complete table of contents for this issue:
"Introduction to the Special Issue on SENSEVAL."
A. Kilgarriff, M. Palmer
pp. 1-13
"Framework and Results for English SENSEVAL."
A. Kilgarriff, J. Rosenzweig
pp. 15-48
"Framework and Results for French."
Frederique Segond
pp. 49-60
"Senseval/Romanseval: The Framework for Italian."
Nicoletta Calzolari, Ornella Corazzari
pp. 61-78
"Tagger Evaluation Given Hierarchical Tag Sets."
I. Dan Melamed, Philip Resnik
pp. 79-84
"Peeling an Onion: The Lexicographer's Experience of Manual
Sense-Tagging."
Ramesh Krishnamurthy, Diane Nicholls
pp. 85-97
"Lexicography and Disambiguation: The Size of the Problem."
Rosamund Moon
pp. 99-102
"Combining Supervised and Unsupervised Lexical Knowledge
Methods for Word Sense Disambiguation."
E. Agirre, G. Rigau, L. Padro, J. Atserias
pp. 103-108
"Word Sense Disambiguation Using Automatically Acquired Verbal
Preferences."
John Carroll, Diana McCarthy
pp. 109-114
"A Topical/Local Classifier for Word Sense Identification."
Martin Chodorow, Claudia Leacock, George A. Miller
pp. 115-120
"GINGER II: An Example-Driven Word Sense Disambiguator."
Luca Dini, Vittorio Di Tomaso, Frederique Segond
pp. 121-126
"Word Sense Disambiguation by Information Filtering and
Extraction."
Jeremy Ellman, Ian Klincke, John Tait
pp. 127-134
"Large Scale WSD Using Learning Applied to SENSEVAL."
Paul Hawkins, David Nettleton
pp. 135-140
"Word Sense Disambiguation Using the Classification
Information Model."
Ho Lee, Hae-Chang Rim, Hungyun Seo
pp. 141-146
"Word Sense Disambiguation with a Similarity-Smoothed Case
Library."
Dekang Lin
pp. 147-152
"Senseval: The CL Research Experience."
Kenneth C. Litkowski
pp. 153-158
"Selecting Decomposable Models for Word-Sense Disambiguation:
The Grling-Sdm System."
Tom O'Hara, Janyce Wiebe, Rebecca Bruce
pp. 159-164
"Simple Word Sense Discrimination."
Keith Suderman
pp. 165-170
"Memory-Based Word Sense Disambiguation."
Jorn Veenstra, Antal van den Bosch, Sabine Buchholz, Walter
Daelemans, Akub Zavrel
pp. 171-177
"Hierarchical Decision Lists for Word Sense Disambiguation."
David Yarowsky
pp. 179-186
"Using Semantic Classification Trees for WSD."
C. de Loupy, M. El-Beze, P.-F. Marteau
pp. 187-192
"Dictionary-Driven Semantic Look-up."
Frederique Segond, Elisabeth Aimelet, Veronika Lux, Corinne
Jean
pp. 193-197
"ROMANSEVAL: Results for Italian by SENSE."
Stefano Federici, Simonetta Montemagni, Vito Pirrelli
pp. 199-204
"Do Word Meanings Exist?"
Patrick Hanks
pp. 205-215
"Consistent Criteria for Sense Distinctions."
Martha Palmer
pp. 217-222
"Cross-Lingual Sense Determination: Can It Work?"
Nancy Ide
pp. 223-234
"Is Word Sense Disambiguation Just One More NLP Task?
Yorick Wilks
pp. 235-243
Date: Wed, 12 Jul 2000 17:51:08 -0400 (EDT)
From: William Evans <jouwee@panther.Gsu.EDU>
To: content@sphinx.Gsu.EDU
Tinsley, Howard E. A., and David J. Weiss. "Interrater
Reliability and Agreement." In Handbook of Applied
Multivariate Statistics and Mathematical Modeling, edited by
Howard E. A. Tinsley and Steven D. Brown, pp. 95-124. San
Diego, CA: Academic Press, 2000.
The authors review the most common procedures for assessing
reliability at different levels of measurement and across
various numbers of coders. The authors also develop a
distinction between reliability and agreement, arguing that these
are essentially different concepts that require different
assessment techniques.
Date: Mon, 17 Jul 2000 17:11:27 -0400 (EDT)
From: William Evans <jouwee@panther.Gsu.EDU>
To: content@sphinx.Gsu.EDU
McMillan, Sally J. "The Microscope and the Moving Target: The
Challenge of Applying Content Analysis to the World Wide Web."
Journalism & Mass Communication Quarterly 77, no. 1 (2000):
80-98.
The author reviews 19 studies that apply content analysis to the
World Wide Web, assessing the sampling and coding procedures
used. The author reports that there were few flaws in these
studies, but there was also little consensus regarding how best
to sample and code web pages.
Date: Tue, 08 Aug 2000 16:03:50 -0400 (EDT)
From: William Evans <jouwee@panther.Gsu.EDU>
To: content@sphinx.Gsu.EDU
The Fall 2000 issue of Social Science Computer Review (volume
18, no. 3) features several articles on computer-supported
content analysis and analysis of web content. In addition, the
issue includes several reviews of software for content analysis
and qualitative data analysis.
ARTICLES
Evans, William. "Teaching Computers to Watch Television:
Content-Based Image Retrieval for Content Analysis." Pp.
246-257.
Ford, John M., Thomas A. Stetz, Marilyn M. Bott, and Brian S.
O'Leary. "Automated Content Analysis of Multiple-Choice
Test Item Banks." Pp. 258-271.
Gibson, Rachel, and Stephen Ward. "A Proposed Methodology for
Studying the Function and Effectiveness of Party and
Candidate Web Sites." Pp. 301-319.
Hesse-Biber, Sharlene, and Paul Dupuis. "Testing Hypotheses on
Qualitative Data: The Use of HyperResearch
Computer-Assisted Software." Pp. 320-328.
Platt, Rowen R. "Authenticity and Prevalence of Third Camps in
the Abortion Debate: A Web Content Analysis." Pp. 293-300.
Weare, Christopher, and Wan-Ying Lin. "Content Analysis of the
World Wide Web: Opportunities and Challenges." Pp. 272-292.
SOFTWARE REVIEWS
Craven, Paul. " WinMAX." Pp. 362-364.
Evans, William. "WordStat." Pp. 365-369.
Permaloff, Anne. "SphinxSurvey." Pp. 357-361.
Tooley, William F. "Code-A-Text." Pp. 341-343.
Wazlenski, Robert J. "The Ethnograph." Pp. 351-356.
Date: Fri, 18 Aug 2000 12:25:37 -0400 (EDT)
From: William Evans <jouwee@panther.Gsu.EDU>
To: content@sphinx.Gsu.EDU
Fan, Xitao, and Michael Chen. "Published Studies of Interrater
Reliability Often Overestimate Reliability: Computing the
Correct Coefficient." Educational and Psychological
Measurement 60, no. 4 (2000): 523-542.
From the abstract: "It is erroneous to generalize the interrater
reliability coefficient estimated from two or more raters rating
only a (small) portion of the sample to the rest of the sample
data for which only one rater is used for scoring, although such
generalization is often made implicitly in practice... The
authors provide a sample of published studies in different
disciplines that inappropriately generalized reliability
coefficients involving several raters to scores generated by a
single rater."
Date: Thu, 14 Dec 2000 14:01:14 -0500 (EST)
From: William Evans <jouwee@panther.Gsu.EDU>
To: content@sphinx.Gsu.EDU
Titscher, Stefan, Michael Meyer, Ruth Wodak, and Eva Vetter.
Methods of Text and Discourse Analysis. Thousand Oaks, CA:
Sage, 2000.
A comparative survey of text and discourse analysis methods
across the disciplines. The authors cover content analysis,
bibliometric analysis, conversation analysis, narrative analysis,
critical discourse analysis, and various linguistic approaches
to assessing text and discourse.
Date: Tue, 19 Dec 2000 18:05:25 -0500 (EST)
From: William Evans <jouwee@panther.Gsu.EDU>
To: content@sphinx.Gsu.EDU
D'Alessio, Dave, and Mike Allen. "Media Bias in Presidential
Elections: A Meta-Analysis." Journal of Communication 50,
no. 4 (2000): 133-156.
A meta-analysis of 59 studies that measured bias in newspaper,
newsmagazine, and television coverage of presidential campaigns.
The authors report that there is evidence to suggest that
television news devotes slightly more airtime to stories
regarding Democratic candidates than to stories regarding
Republican candidates. However, across all media, there is no
evidence that news stories are biased in favor of either
Democratic or Republican candidates.
Go to Content Publication Alerts Index
Go to Matthias's content analysis page