Movies, Mind and Meaning : Studying Audience and Favourite Films

Construction of identity and meaning is becoming increasingly important in both media studies and religion scholarship. (Lövheim, 2004) Meaning construction outside traditional religion has become more interesting for religious studies and what individuals in the audience do with all messages circulated through media in everyday life has attended increasing interest within media studies (Stout and Buddenbaum, 2001). Motion pictures, soap operas and advertising are all examples of media contents which generate ideas among its audience which to a various degree are used as resources within the construction of identity (Jansson, 2001). The investigation of what modern humankind’s world views look like and what components they are composed of, in this context seems to be an important topic of investigation (Holm and Björkqvist, 1996). The ways in which the development of media has effected the daily lives of individuals is interest as is the nature of the self and the ways in which the process of self-formation is affected by the profusion of mediated materials (Thompson, 1995). Film and religion are my interest within this larger frame. The topic is not exactly new but the combination of film and religion has during the last ten years resulted in a rapidly growing number of books by scholars interested in this field (Lyden, 2003). One growing focus is on the role that films can and do play within the emerging and developing valuesystem of people in the West today (Marsh, 2004). The British theologian Clive Marsh’s point of departure is very similar to my own. Viewers bring to a film life-experience, immediate concerns and worldviews and the exploration of this interplay between movies and the interpreting process of meaning making is the very focus in this paper. Theoretically, the semeiological model of Alf Linderman is combined with cultural cognitive approaches used by a number of Scandinavian media scholars developing perspectives in audience theory (Linderman, 1996, Höijer and Werner, 1998). 13 individuals, their favourite movie and what it means to them in their life My aim is to examine how individuals comprehend film and what the meaning process look like. In this paper I present the outcome of 13 interviews with young people about their favourite film. I suggest how it is possible to interpret how they interrelate film comprehension with their personal beliefs and their culturally constructed worldview from a sociocognitive point of view. Examples of films chosen range from Disneys Lion King (1994), sciencefiction and fantasy successes like The Matrix (1999) and Lord of the Rings (2001) or the next best movie ever according to www.IMdb.com The Shawshank Redemption (1994) as well as the Swedish blockbuster Så som i himmelen (2004), aka “As in Heaven”.

Topic- and mode-sensitive interaction strategies : Functions of ellipsis in oral communication

In this article, we discuss ellipsis as an interactive strategy by analysing the author’s textchat corpus and the VOICE corpus of English as a Lingua Franca. It is found that there were fewer repetitions in the textchat data, and this is explained as a consequence of the textchat mode. Textchat contributions are preserved as long as the chat is active or has been saved, and therefore users can scroll through and review the discussion, compared to the more fleeting nature of oral conversation. As a result, repetition is less necessary. The frequency of other functions identified could be attributed to the topic of discourse. Discussions involve much ellipsis used to develop discourse, although some were self-presentations with repetition used to confirm details. Back-channel support and comments were often low because speakers instead used forms like yeah as supportive utterances.

LDA-TM : A two-step approach to twitter topic data clustering

The Twitter System is the biggest social network in the world, and everyday millions of tweets are posted and talked about, expressing various views and opinions. A large variety of research activities have been conducted to study how the opinions can be clustered and analyzed, so that some tendencies can be uncovered. Due to the inherent weaknesses of the tweets - very short texts and very informal styles of writing - it is rather hard to make an investigation of tweet data analysis giving results with good performance and accuracy. In this paper, we intend to attack the problem from another aspect - using a two-layer structure to analyze the twitter data: LDA with topic map modelling. The experimental results demonstrate that this approach shows a progress in twitter data analysis. However, more experiments with this method are expected in order to ensure that the accurate analytic results can be maintained.