Computers can play several different roles in text analysis. We will examin
e one of these, computerized decision support systems; first giving a brief
introduction to the general features of this family of software and then f
ocusing on CETA (Computer Aided Evaluative Text Analysis) - developed by Va
n Cuilenburg et al. (1988) - a well known example of this type of computer
assisted text analysis tool. After outlining the principles and recommended
procedures for the use of CETA, we will formulate several hypotheses conce
rning its strengths and weaknesses. These will be tested by means of a case
study: an in-depth analysis of news coverage by the New York Times of the
air traffic controllers' strike against the Reagan administration in the ea
rly 1980s. We will focus primarily on one key NYT editorial to illustrate t
he potential and limitations of CETA.