The Bechdel Test and the Social Form of Character Networks

This essay describes the popular Bechdel Test—a measure of women’s dialogue in films—in terms of social network analysis within fictional narrative. It argues that this form of vernacular criticism arrives at a productive convergence with contemporary academic critical methodologies in surface and postcritical reading practices, on the one hand, and digital humanities, on the other. The data-oriented character of the Bechdel Test, which a text rigidly passes or fails, stands in sharp contrast to identification- or recognition-based evaluations of a text’s feminist orientation, particularly because the former does not prescribe the content, but merely the social form, of women’s agency. This essay connects the Bechdel Test and a lineage of feminist and early queer theory to current work on social network analysis within literary texts, and it argues that the Bechdel Test offers the beginnings of a measured approach to understanding agency within actor networks

Evaluating named entity recognition tools for extracting social networks from novels

The analysis of literary works has experienced a surge in computer-assisted processing. To obtain insights into the community structures and social interactions portrayed in novels, the creation of social networks from novels has gained popularity. Many methods rely on identifying named entities and relations for the construction of these networks, but many of these tools are not specifically created for the literary domain. Furthermore, many of the studies on information extraction from literature typically focus on 19th and early 20th century source material. Because of this, it is unclear if these techniques are as suitable to modern-day literature as they are to those older novels. We present a study in which we evaluate natural language processing tools for the automatic extraction of social networks from novels as well as their network structure. We find that there are no significant differences between old and modern novels but that both are subject to a large amount of variance. Furthermore, we identify several issues that complicate named entity recognition in our set of novels and we present methods to remedy these. We see this work as a step in creating more culturally-aware AI systems

Spectators’ aesthetic experiences of sound and movement in dance performance

In this paper we present a study of spectators’ aesthetic experiences of sound and movement in live dance performance. A multidisciplinary team comprising a choreographer, neuroscientists and qualitative researchers investigated the effects of different sound scores on dance spectators. What would be the impact of auditory stimulation on kinesthetic experience and/or aesthetic appreciation of the dance? What would be the effect of removing music altogether, so that spectators watched dance while hearing only the performers’ breathing and footfalls? We investigated audience experience through qualitative research, using post-performance focus groups, while a separately conducted functional brain imaging (fMRI) study measured the synchrony in brain activity across spectators when they watched dance with sound or breathing only. When audiences watched dance accompanied by music the fMRI data revealed evidence of greater intersubject synchronisation in a brain region consistent with complex auditory processing. The audience research found that some spectators derived pleasure from finding convergences between two complex stimuli (dance and music). The removal of music and the resulting audibility of the performers’ breathing had a significant impact on spectators’ aesthetic experience. The fMRI analysis showed increased synchronisation among observers, suggesting greater influence of the body when interpreting the dance stimuli. The audience research found evidence of similar corporeally focused experience. The paper discusses possible connections between the findings of our different approaches, and considers the implications of this study for interdisciplinary research collaborations between arts and sciences

Quantitative approaches for evaluating the influence of films using the IMDb database

[EN] Why do films certain remain influential throughout film history? The purpose of this paper is to attempt to answer this question. To do so, we adopt some quantitative approaches that facilitate an objective interpretation of the data. The data source we have chosen for this study is the Internet Online Movie Database (IMDb), and in particular, one of its sections called "Connections", which lists references made to a film in subsequent movies and references made in the film itself to previous ones. The extraction and analysis of these networks of citations allows us to draw some conclusions about the most influential movies in film history, identifying their distinguishing features, and considering how their popularity has evolved over time.This work is part of the Project "Active Audiences and Journalism. Interactivity, Web Integration and Findability of Journalistic Information". CSO2012-39518-C04-02. National Plan for R+D+i, Spanish Ministry of Economy and CompetitivenessCanet Centellas, FJ.; Valero Navarro, MA.; Codina Bonilla, L. (2016). Quantitative approaches for evaluating the influence of films using the IMDb database. Communication & Society. 29(2):151-172. https://doi.org/10.15581/003.29.2.151-172S15117229

Character Constellations

Fiction has a major social impact, not least because it co-shapes the image that society has of various social groups. Drawing on a collection of 170 contemporary Dutch-language novels, Character Constellations presents a range of data-driven, statistical models to study depictions of characters in terms of gender, race, ethnicity, class, age, sexuality, and other identity categories. Incorporating the tools of network analysis, each chapter highlights an aspect of fictional social networks that affects the representation of social groups: their centrality, their communities, and their conflicts. While reading individual novels in light of emerging statistical patterns, combining the formal methods of social network analysis with the interpretive tools of narratology, this study shows how central societal themes such as (in)equality and emancipation, integration and segregation, and social mobility and class struggle are foregrounded, replicated, or distorted in the Dutch novel. Showcasing what character-based critiques of literary representation gain by integrating data-driven methods into the practice of critical close reading, Character Constellations contributes to societal debates on cultural representation and identity and the role fiction and art have in those debates

Working definitions in literature and tourism: a research guide

Working definitions in literature and tourism: A research guide is a volume that assembles a large set of working definitions aimed at all researchers in the field of literature and tourism. The entries are written by around 50 scholars and experts from all over the world, covering a wide range of concepts that go through the areas of literature and tourism and also, among others, culture, geography, anthropology, and methodologies.info:eu-repo/semantics/publishedVersio

Neoliberalism and Contemporary American Literature

How has American literature responded to the dominance of neoliberalism? Does it make sense to speak of an American literature in neoliberal times? Can literature function as either a neutral category or a privileged narrative of national imagination in a time when paradigms of the nation-state and of liberal capitalism are undergoing a prolonged shift? In the United States, as elsewhere, the association between the nation-state, liberal capitalism, and literary form has a long history, reflecting determinate relations between writer and reader within imagined national community. As this community loses its symbolic efficiency in the age of neoliberal capital, the boundaries and possibilities of literary production and representation shift. This collection of essays examines how American literature both models and interrogates the neoliberal present. Has literary realism been exhausted as a narrative form? Can contemporary literature still imagine either the end of capitalism or an alternative to it?https://digitalcommons.dartmouth.edu/dartmouth_press/1001/thumbnail.jp

Privacy as a Social Good

Privacy is typically conceived, in both scholarly and popular circles, as an individual good. This weakens the potential for understanding the social implications of changes in privacy and may contribute to the topic s marginal position within sociology. While not explicitly known for their conclusions about privacy, some of the discipline s classic figures have addressed, in a variety of ways, the relevance of privacy for social life. I highlight their work, neglected in privacy discourse and not well known within sociology, to demonstrate the sociological relevance of privacy for individual development, group solidarity, stratification, and social control

Blogs as Infrastructure for Scholarly Communication.

This project systematically analyzes digital humanities blogs as an infrastructure for scholarly communication. This exploratory research maps the discourses of a scholarly community to understand the infrastructural dynamics of blogs and the Open Web. The text contents of 106,804 individual blog posts from a corpus of 396 blogs were analyzed using a mix of computational and qualitative methods. Analysis uses an experimental methodology (trace ethnography) combined with unsupervised machine learning (topic modeling), to perform an interpretive analysis at scale. Methodological findings show topic modeling can be integrated with qualitative and interpretive analysis. Special attention must be paid to data fitness, or the shape and re-shaping practices involved with preparing data for machine learning algorithms. Quantitative analysis of computationally generated topics indicates that while the community writes about diverse subject matter, individual scholars focus their attention on only a couple of topics. Four categories of informal scholarly communication emerged from the qualitative analysis: quasi-academic, para-academic, meta-academic, and extra-academic. The quasi and para-academic categories represent discourse with scholarly value within the digital humanities community, but do not necessarily have an obvious path into formal publication and preservation. A conceptual model, the (in)visible college, is introduced for situating scholarly communication on blogs and the Open Web. An (in)visible college is a kind of scholarly communication that is informal, yet visible at scale. This combination of factors opens up a new space for the study of scholarly communities and communication. While (in)invisible colleges are programmatically observable, care must be taken with any effort to count and measure knowledge work in these spaces. This is the first systematic, data driven analysis of the digital humanities and lays the groundwork for subsequent social studies of digital humanities.PhDInformationUniversity of Michigan, Horace H. Rackham School of Graduate Studieshttp://deepblue.lib.umich.edu/bitstream/2027.42/111592/1/mcburton_1.pd