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Information Analysis and Repackaging



                   Notes         12.1 Process of Content Analysis


                                 In 1931, Alfred R Lindesmith developed a methodology to refute existing hypotheses, which became
                                 known as a content analysis technique, and it gained popularity in the 1960s by Glaser and is referred
                                 to as “The Constant Comparative Method of Qualitative Analysis” in an article published in 1964-65.
                                 Glaser and Strauss (1967) referred to their adaptation of it as “Grounded Theory.” The method of
                                 content analysis enables the researcher to include large amounts of textual information and system-
                                 atically identify its properties, e.g. the frequencies of most used keywords (KWIC meaning “Key
                                 Word in Context”) by locating the more important structures of its communication content.
                                 Yet such amounts of textual information must be categorised analysis, providing at the end a
                                 meaningful reading of content under scrutiny. David Robertson (1976:73-75) for example created a
                                 coding frame for a comparison of modes of party competition between British and American parties.
                                 It was developed further in 1979 by the Manifesto Research Group aiming at a comparative content-
                                 analytic approach on the policy positions of political parties.
                                 Since the 1980s, content analysis has become an increasingly important tool in the measurement of
                                 success in public relations (notably media relations) programs and the assessment of media profiles.
                                 In these circumstances, content analysis is an element of media evaluation or media analysis. In
                                 analyses of this type, data from content analysis is usually combined with media data (circulation,
                                 readership, number of viewers and listeners, frequency of publication). It has also been used by
                                 futurists to identify trends. In 1982, John Naisbitt published his popular Megatrends, based on
                                 content analysis in the US media.

                                 Bernard Berelson defined Content Analysis as “a research technique for the objective, systematic,
                                 and quantitative description of manifest content of communications” .
                                 Content analysis is a research tool focused on the actual content and internal features of media. It is
                                 used to determine the presence of certain words, concepts, themes, phrases, characters, or sentences
                                 within texts or sets of texts and to quantify this presence in an objective manner. Texts can be defined
                                 broadly as books, book chapters, essays, interviews, discussions, newspaper headlines and articles,
                                 historical documents, speeches, conversations, advertising, theatre, informal conversation, or really
                                 any occurrence of communicative language.
                                 To conduct a content analysis on a text, the text is coded, or broken down, into manageable categories
                                 on a variety of levels—word, word sense, phrase, sentence, or theme—and then examined using
                                 one of content analysis’ basic methods: conceptual analysis or relational analysis. The results are
                                 then used to make inferences about the messages within the text(s), the writer(s), the audience, and
                                 even the culture and time of which these are a part. For example, Content Analysis can indicate
                                 pertinent features such as comprehensiveness of coverage or the intentions, biases, prejudices, and
                                 oversights of authors, publishers, as well as all other persons responsible for the content of materials.
                                 Content analysis is a product of the electronic age. Though content analysis was regularly performed
                                 in the 1940s, it became a more credible and frequently used research method since the mid-1950’s,
                                 as researchers started to focus on concepts rather than simply words, and on semantic relationships
                                 rather than just presence.


                                 12.2 Application of Content Analysis

                                 Due to the fact that it can be applied to examine any piece of writing or occurrence of recorded
                                 communication, content analysis is used in large number of fields, ranging from marketing and media
                                 studies, to literature and rhetoric, ethnography and cultural studies, gender and age issues, sociology
                                 and political science, psychology and cognitive science, as well as other fields of inquiry. Additionally,
                                 content analysis reflects a close relationship with socio—and psycholinguistics, and is playing an





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