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Analysis of ‘Contents’ and ‘Forms’ in TV Audience Opinions

Kitai Kim 1

1호남대학교

Accredited

ABSTRACT

This study used an empirical approach to analyze the “contents” and “forms” of TV audience opinions, incorporating the existing methods of the audience opinion analysis. The underlying motivation of the study was not only to observe the status quo and problems of audience opinions in Korea, but also to search for ways in which audience opinions can be actively presented and be heard. A total of 268 cases of TV audience opinions, which were found on Internet bulletin boards of ombudsman programs from three channels, KBS, MBS, and SBS, were collected during a span of 60 days in 2011 and then analyzed. For the analysis criteria, “contents” of audience opinions included genre, targets of opinion, evaluation directions and suggestion of alternatives; “forms” included suggestion levels and suggestion methods. The results indicated that the genre distribution of audience opinions was: entertainment (53%), instructional programs (16.4%) and news programs (14.2%). The targets of the audience opinions consisted of: program substance (53.5%), production and programming (43.1%) and broadcast systems and environments (3.5%). Evaluation directions were highly unbalanced between negative opinions (89%) and positive opinions (4.6%), with some neutral opinions (6.5%). The distribution according to the suggestions of the alternatives was: opinions that do not suggest alternatives (77.9%) and opinions that suggest alternatives (22.1%). As for the forms of audience opinions, suggestion levels were split between opinions with moderate suggestions (68.4%) and opinions with strong arguments (31.6%). Finally, in the case of suggestion methods, subjective suggestions (85.6%) were more abundant than objective suggestions (14.4%). The analyses of the contents and forms of Korean audience opinions done in this study revealed various problems and tasks that required further investigation. This study will also serve as preliminary research for studies on audience feedback systems.

Citation status

* References for papers published after 2023 are currently being built.