A computational model of transmedia ecosystem for story-based contents

Jung, Jai E.; Lee, O-Joun; You, Eun-Soon; Nam, Myoung-Hee

doi:10.1007/s11042-016-3626-5

Cited by 13 publications

(4 citation statements)

References 16 publications

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“…Jung et al [42] attempted to analyze relationships among narrative works that share a common narrative world. They classified connections between narrative works according to how the works extend the narrative world, based on characters and events that commonly appeared in the works.…”

Section: Related Workmentioning

confidence: 99%

Discovering Social Desires and Conflicts from Subculture Narrative Multimedia

et al. 2020

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This study aims at discovering social desires and conflicts from subculture narrative multimedia. Since one of the primary purposes in the subculture consumption is vicarious satisfaction, the subculture works straightforwardly describe what their readers want to achieve and break down. The latent desires and conflicts are useful for understanding our society and realizing smart governance. To discover the social issues, we concentrate on that each subculture genre has a unique imaginary world that consists of inventive subjects. We suppose that the subjects correspond to individual social issues. For example, game fiction, one of the popular genres, describes a world like video games. Under game systems, everyone gets the same results for the same efforts, and it can be interpreted as critics for the social inequality issue. Therefore, we first extract subjects of genres and measure the membership degrees of subculture works for each genre. Using the subjects and membership degrees, we build a genealogy tree of subculture genres by tracing their evolution and differentiation. Then, we extract social issues by searching for the subjects that come from the real world, not imaginary. If a subculture work criticizes authoritarianism, it might include subjects such as government officials and bureaucrats. A combination of the social issues and genre genealogy tree will show diachronic changes in our society. We have evaluated the proposed methods by extracting social issues reflected in Korean web novels.

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Section: Related Workmentioning

confidence: 99%

Discovering Social Desires and Conflicts from Subculture Narrative Multimedia

et al. 2020

Self Cite

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“…Prior existing models in multimedia research such as Drammar [32], the recent work on transmedia by Jung [23], the video mash-up domain models by Kaiser [24], or the broad narrative ontology presented in OntoMedia [21] have all shown the advantages of machine readable models of narrative in search, media aggregation, annotation, navigation, and generation. However, prior models have nearly entirely focused on the literal content and plot of narrative and not its subtext -as ours does.…”

Section: Thematic Modelmentioning

confidence: 99%

The thematic modelling of subtext

Hargood

Millard

Weal

2018

Multimed Tools Appl

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Narratives form a key component of multimedia knowledge representation on the Web. However, many existing multimedia narrative systems either ignore the narrative qualities of any media, or focus on the literal depicted content ignoring any subtext. Ignoring narrative subtext can lead to erroneous search results, or automatically remixed content that lacks cohesion. We suggest that subtext can be computationally modeled in terms of Tomashevsky's hierarchy of themes and motifs. These elements can then be used in a semiotic term expansion algorithm, incorporating knowledge of subtext into search and subsequent narrative generation. We present two experimental applications of this technique. In the first, we use our thematic model in the automatic construction of photo montages from Flickr, comparing it to more traditional term expansion based on co-occurrence, and showing that this improves the perceived relevance of images within the montage. In the second, we use the thematic model in order to automatically identify Flickr images to illustrate short stories, where it dampened the perception of unwanted themes (an effect we describe as reducing thematic noise). Our work is among the first in this space, and shows that thematic subtext can be tackled computationally.

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“…As the affinity of media technology for visual objects amplifies in everyday life, intermixing visualisation and storytelling has become an increasingly intuitive way of communication [35,41,47]. With the parallel growth of transmedia storytelling [32], distinguishing effects of different sensory inputs will be necessary to advance the development of serious storytelling in theory and practice. The delineation of a sensory landscape is an important step towards theorising narratives interventions.…”

Section: Introductionmentioning

confidence: 99%

Seeing is relieving: effects of serious storytelling with images on interview performance anxiety

Lin-Stephens

Manuguerra

Bulbert

2022

Multimed Tools Appl

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Serious storytelling as a media genre has the potential to accentuate the benefits of narrative interventions in health and education. To inform its application, it is necessary to identify effects of sensory inputs. Here, we focus on visual stimuli and observe their effects on an anxiety condition. We examine whether serious storytelling incorporating images, a type of basic visual stimuli, may reduce interview performance anxiety. In a double-blind randomised control trial, 69 participants with matched levels of anxiety received serious storytelling interview training and were allocated to exposure (image-based preparation) and control (standard preparation) groups. A week later, participants attended individual interviews with two independent interviewers and reported their interview anxiety. Analyses revealed a positive relationship between generalised anxiety and some dimensions of interview anxiety, but serious storytelling with images predicted a reduction in interview performance anxiety (effect size at the median value of covariates on a visual analogue scale with the range 0–100: -36.7, 95% CI [−54.7, −2.5]). Low participation burden in the brief intervention was confirmed through a deductive thematic analysis. The images were analysed based on format type and origin to inform further inquiries. This study yielded empirical findings with implications of media and technology development for serious storytelling. Seeing images of experiences during interview preparation was associated with a relief of interviewees’ anxiety towards interview performance, but further studies are necessary to consolidate the evidence for visual narrative applications in health and education.

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A computational model of transmedia ecosystem for story-based contents

Cited by 13 publications

References 16 publications

Discovering Social Desires and Conflicts from Subculture Narrative Multimedia

Discovering Social Desires and Conflicts from Subculture Narrative Multimedia

The thematic modelling of subtext

Seeing is relieving: effects of serious storytelling with images on interview performance anxiety

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