자연주의적 탐구조사(Naturalistic Inquiry)

The Structural Transformation of the Public Sphere: An Inquiry into a Category of Bourgeois Society

Social Network Analysis

語用論(Pragmatics)を考える

Nos últimos trinta trinta anos, houve profundas mudanças na forma como compreendemos o crime e a justiça criminal. O crime tornou-se um evento simbólico, um verdadeiro teste para a ordem social e para as políticas governamentais, um desafio para a sociedade civil, para a democracia e para os direitos humanos. Segundo David Garland, professor da Faculdade de Direito da New York University, um dos principais autores no campo da Sociologia da Punição e com artigo publicado na Revista de Sociologia e Política , número 13, na modernidade tardia houve uma verdadeira obsessão securitária, direcionando as políticas criminais para um maior rigor em relação às penas e maior intolerância com o criminoso. Há trinta anos, nos EUA e na Inglaterra essa tendência era insuspeita. O livro mostra que os dois países compartilham intrigantes similaridades em suas práticas criminais, a despeito da divisão racial, das desigualdades econômicas e da letalidade violenta que marcam fortemente o cenário americano. Segundo David Garland, encontram-se nos dois países os “mesmos tipos de riscos e inseguranças, a mesma percepção a respeito dos problemas de um controle social não-efetivo, as mesmas críticas da justiça criminal tradicional, e as mesmas ansiedades recorrentes sobre mudança e ordem sociais”1 (GARLAND, 2001, p. 2). O argumento principal da obra é o seguinte: a modernidade tardia, esse distintivo padrão de relações sociais, econômicas e culturais, trouxe consigo um conjunto de riscos, inseguranças e problemas de controle social que deram uma configuração específica às nossas respostas ao crime, ao garantir os altos custos das políticas criminais, o grau máximo de duração das penas e a excessivas taxas de encarceramento.

http://www.scielo.br/pdf/rsocp/n20/n20a15.pdf

The culture of control: crime and social order in contemporary, society

Little is currently known about the factors that promote the propagation of information in online social networks following terrorist events. In this paper we took the case of the terrorist event in Woolwich, London in 2013 and built models to predict information flow size and survival using data derived from the popular social networking site Twitter. We define information flows as the propagation over time of information posted to Twitter via the action of retweeting. Following a comparison with different predictive methods, and due to the distribution exhibited by our dependent size measure, we used the zero-truncated negative binomial (ZTNB) regression method. To model survival, the Cox regression technique was used because it estimates proportional hazard rates for independent measures. Following a principal component analysis to reduce the dimensionality of the data, social, temporal and content factors of the tweet were used as predictors in both models. Given the likely emotive reaction caused by the event, we emphasize the influence of emotive content on propagation in the discussion section. From a sample of Twitter data collected following the event (N=427,330) we report novel findings that identify that the sentiment expressed in the tweet is statistically significantly predictive of both size and survival of information flows of this nature. Furthermore, the number of offline press reports relating to the event published on the day the tweet was made was a significant predictor of size, as was the tension expressed in a tweet in relation to survival. Finally, time lags between retweets and the co-occurrence of URLS and Hashtags also emerged as significant.

/pdf/tweeting-the-terror-modelling-the-social-media-reaction-to-49bn53q0nm.pdf

Tweeting the terror: modelling the social media reaction to the Woolwich terrorist attack

This article briefly investigates the role that ethnomethodology
has played in sociological analyses of language and
interaction. The work of Harvey Sacks is investigated in relation to
membership categorization and the analysis of talk-in-interaction.
More specifically, the authors focus on how this strand of work has
been developed in recent years and now represents a powerful
apparatus for conducting sociological analyses of interaction in a
diverse range of settings in a way that is sensitive to issues related to
social organization, normativity, identity, macroâ€“micro
synthesis, knowledge and developments in social theory.

The Reconsidered Model of Membership Categorisation Analysis

A perennial criticism regarding the use of social media in social science research is the lack of demographic information associated with naturally occurring mediated data such as that produced by Twitter. However the fact that demographics information is not explicit does not mean that it is not implicitly present. Utilising the Cardiff Online Social Media ObServatory (COSMOS) this paper suggests various techniques for establishing or estimating demographic data from a sample of more than 113 million Twitter users collected during July 2012. We discuss in detail the methods that can be used for identifying gender and language and illustrate that the proportion of males and females using Twitter in the UK reflects the gender balance observed in the 2011 Census. We also expand on the three types of geographical information that can be derived from Tweets either directly or by proxy and how spatial information can be used to link social media with official curated data. Whilst we make no grand claims about the representative nature of Twitter users in relation to the wider UK population, the derivation of demographic data demonstrates the potential of new social media (NSM) for the social sciences. We consider this paper a clarion call and hope that other researchers test the methods we suggest and develop them further.

/pdf/knowing-the-tweeters-deriving-sociologically-relevant-3uyre3li1p.pdf

Knowing the Tweeters: Deriving Sociologically Relevant Demographics from Twitter:

Detecting tension in online communities with computational Twitter analysis

In this article, we examine the extent to which membership categorization analysis (MCA) can inform an understanding of reasoning within the public domain where morality, policy and cultural politics are visible (Smith and Tatalovich, 2003). Through the examination of three examples, we demonstrate how specific types of category device(s) are a ubiquitous feature of accountable practice in the public domain where morality matters and public policy intersect. Furthermore, we argue that MCA provides a method for analysing the mundane mechanics associated with everyday cultural politics and democratic accountability assembled and presented within news media and broadcast settings.

William Housley

Papers

Tweeting the terror: modelling the social media reaction to the Woolwich terrorist attack

The Reconsidered Model of Membership Categorisation Analysis

Knowing the Tweeters: Deriving Sociologically Relevant Demographics from Twitter:

Detecting tension in online communities with computational Twitter analysis

Membership categorization, culture and norms in action: