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Information Analysis and Repackaging



                   Notes         Live coding

                                 If your purpose in the content analysis is very clear and simple, an alternative to transcription is
                                 live coding. For this, the coders play back the tape of the radio or TV program or interview, listen
                                 for perhaps a minute at a time, then stop the tape and code the minute they just heard. This works
                                 best when several coders are working together. It is too difficult for beginners at coding, but for
                                 experienced coders it avoids the bother of transcription. Sometimes, content analysis has a subtle
                                 purpose, and a transcript doesn’t give the information you need. That’s when live coding is most
                                 useful: for example, a study of the tone of voice that actors in a drama use when speaking to people
                                 of different ages and sexes.

                                 Analysing secondary data
                                 Sometimes the corpus for a content analysis is produced specifically for the study—or at least, the
                                 transcription is made for that purpose. That’s primary data. But in other instances, the content has
                                 already been transcribed (or even coded) for another purpose. That’s secondary data. Though
                                 secondary data can save you a lot of work, it may not be entirely suitable for your purpose.
                                 This section applies to content that was produced for some other purpose, and is now being analysed.
                                 Content created for different purposes, or different audiences, is likely to have different emphases.
                                 In different circumstances, and in different roles, people are likely to give very different responses.
                                 The expectations produced by a different role, or a different situation, are known as demand
                                 characteristics.
                                 When you find a corpus that might be reusable, you need to ask it some questions, like:
                                 Who produced this, for what audience, in what context?
                                 It’s often misleading to look only at the content itself - the content makes full sense only in its
                                 original context. The context is an unspoken part of the content, but is often more important than
                                 the text of the content.

                                 Why was it produced?

                                 Content that was prepared to support a specific cause is going to be more biased than content that
                                 was prepared for general information.
                                 It’s safe to assume that all content is biased in some way. For example, content that is produced by
                                 or for a trade union is likely to be very different in some ways) from content produced by an employer
                                 group. But in other ways the two sets of content will share many similarities - because they are
                                 likely to discuss the same kinds of issues. Content produced by an advertiser or consumer group,
                                 ostensibly on that same topic, is likely to have a very different emphasis. That emphasis is very
                                 much part of the content - even if this is not stated explicitly.

                                 How old is this corpus?

                                 Is it still valid for your current purpose? It’s tempting to use a corpus that’s already prepared, but it
                                 may no longer be relevant.

                                 Coding content

                                 Coding in content analysis is the same as coding answers in a survey: summarizing responses into
                                 groups, reducing the number of different responses to make comparisons easier. Thus you need to
                                 be able to sort concepts into groups, so that in each group the concepts are both as similar as possible
                                 to each other, and as different as possible from concepts in every other group.





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