Feminism and Anti-Feminism in Harmony? : A Critical Discourse Analysis of Postfeminism in Women's Magazines

This essay investigates postfeminist discourses in women’s magazines with the use of Fairclough’s (2014) critical discourse analysis (CDA). Additionally, it presents consumers’ perceptions of women’s magazines in order to explore how women’s magazines might influence readers’ constructions of identity. Postfeminism is mainly defined by Gill (2007, 2009) and McRobbie (2004) as an idea of feminism and antifeminism combined with the use of neoliberal views. Previous research conducted between 1990 and 2009 has stated that women’s magazines follow a postfeminist discourse and therefore give a contradictory message to their readers, emphasising the importance of individuality and empowerment as well as promoting a traditional feminine image. The magazines analysed in this essay were the January 2016 issue of Elle Magazine US and the February 2016 issue of Elle Magazine UK. The magazines follow a postfeminist discourse, and it is constructed with the use of wording and modality. To complement the CDA, an interview with a target group of women’s magazine readers was conducted. Findings indicate that the magazines both largely follow a postfeminist discourse, constructed through the use of rhetorical features such as wording and modality, and readers believe magazines affect their identity construction negatively. The article is concluded with a discussion on what the aim of a postfeminist discourse is.

Nationen och hans hustru : Feminism och nationalism i Israel med fokus på Miriam Kainys dramatik

The aim of this thesis is to elucidate the tension between feminism and nationalism in Israel and to investigate the ways by which such discursive currents mark the identities of Israeli women. The specific field of investigation is Israeli theatre, and the identities examined are dramatic characters created by the Israeli playwright Miriam Kainy. Also examined is the character of the playwright herself. Theatre is being observed as a specific field of society in which the position of women can be clarified. What kind of women characters the Israeli theatre produces is therefore a leading question for this study. Feminist theories, focusing on gender aspects of power relations, together with the postcolonial perspective, which considers power relations by focusing on ethnicity and geopolitical aspects, provide the theoretical tools. The social constructionist viewpoint is used since it provides an appropriate understanding of important notions for the thesis, such as nation and identity, considering them as constructions created by discourse. The discourses focused upon are the national v. the feminist discourse and theatre is viewed as a discourse mediator, which is why the dramatic text is the object of the analysis. The specific method of analysis is inspired by Norman Fairclough’s critical discourse analysis. The main part of the thesis consists of a discursive analysis of five women characters, constructed within a period of about five decades, namely between the 1950s and 1990s. Each one of these characters consists of an articulation which is considered representative of a specific time-relevant discursive struggle between the two discourses in question. One of the central assumptions of the thesis is that the Israeli national identity is thoroughly masculine. The identity problems it has been causing Israeli women since the time of the pioneers until today are clearly illuminated throughout the analysis. The conclusion emphasises that the subjectpositions being introduced by Israeli national discourse, namely the ways of being a New Jew, an Israeli, collide with those introduced by feminist discourse, i.e. ways of being an independent woman subject. Nevertheless, each and every character demonstrates creative ways of transforming the discourses by aiming at a hybrid formation.

Essays on Bayesian Inference for Social Networks

This thesis presents Bayesian solutions to inference problems for three types of social network data structures: a single observation of a social network, repeated observations on the same social network, and repeated observations on a social network developing through time. A social network is conceived as being a structure consisting of actors and their social interaction with each other. A common conceptualisation of social networks is to let the actors be represented by nodes in a graph with edges between pairs of nodes that are relationally tied to each other according to some definition. Statistical analysis of social networks is to a large extent concerned with modelling of these relational ties, which lends itself to empirical evaluation. The first paper deals with a family of statistical models for social networks called exponential random graphs that takes various structural features of the network into account. In general, the likelihood functions of exponential random graphs are only known up to a constant of proportionality. A procedure for performing Bayesian inference using Markov chain Monte Carlo (MCMC) methods is presented. The algorithm consists of two basic steps, one in which an ordinary Metropolis-Hastings up-dating step is used, and another in which an importance sampling scheme is used to calculate the acceptance probability of the Metropolis-Hastings step. In paper number two a method for modelling reports given by actors (or other informants) on their social interaction with others is investigated in a Bayesian framework. The model contains two basic ingredients: the unknown network structure and functions that link this unknown network structure to the reports given by the actors. These functions take the form of probit link functions. An intrinsic problem is that the model is not identified, meaning that there are combinations of values on the unknown structure and the parameters in the probit link functions that are observationally equivalent. Instead of using restrictions for achieving identification, it is proposed that the different observationally equivalent combinations of parameters and unknown structure be investigated a posteriori. Estimation of parameters is carried out using Gibbs sampling with a switching devise that enables transitions between posterior modal regions. The main goal of the procedures is to provide tools for comparisons of different model specifications. Papers 3 and 4, propose Bayesian methods for longitudinal social networks. The premise of the models investigated is that overall change in social networks occurs as a consequence of sequences of incremental changes. Models for the evolution of social networks using continuos-time Markov chains are meant to capture these dynamics. Paper 3 presents an MCMC algorithm for exploring the posteriors of parameters for such Markov chains. More specifically, the unobserved evolution of the network in-between observations is explicitly modelled thereby avoiding the need to deal with explicit formulas for the transition probabilities. This enables likelihood based parameter inference in a wider class of network evolution models than has been available before. Paper 4 builds on the proposed inference procedure of Paper 3 and demonstrates how to perform model selection for a class of network evolution models.