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"Bliss, Catherine"
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Temporal Patterns of Happiness and Information in a Global Social Network: Hedonometrics and Twitter
Individual happiness is a fundamental societal metric. Normally measured through self-report, happiness has often been indirectly characterized and overshadowed by more readily quantifiable economic indicators such as gross domestic product. Here, we examine expressions made on the online, global microblog and social networking service Twitter, uncovering and explaining temporal variations in happiness and information levels over timescales ranging from hours to years. Our data set comprises over 46 billion words contained in nearly 4.6 billion expressions posted over a 33 month span by over 63 million unique users. In measuring happiness, we construct a tunable, real-time, remote-sensing, and non-invasive, text-based hedonometer. In building our metric, made available with this paper, we conducted a survey to obtain happiness evaluations of over 10,000 individual words, representing a tenfold size improvement over similar existing word sets. Rather than being ad hoc, our word list is chosen solely by frequency of usage, and we show how a highly robust and tunable metric can be constructed and defended.
Journal Article
The Marketization of Identity Politics
Sociology has begun to question how new genetic sciences affect older ways of constructing and contesting social identity, including forms of identity politics that have brought women and minorities significant gains. This article presents US debates on genetics, identity politics, and race in order to theorize emergent transformations in light of the genomic revolution. Examining recent developments in the realms of pharmaceuticals and ancestry estimation, I argue that traditional forms of identity politics are still actively at work, though they are being marketized in novel ways. This article combines theories of racialization and medicalization to detail how genomics ushers in a subtle new version of identity politics: a pharmaceuticalized citizenship wherein health rights and political participation are co-envisioned in individualistic molecular terms.
Journal Article
Estimation of Global Network Statistics from Incomplete Data
Complex networks underlie an enormous variety of social, biological, physical, and virtual systems. A profound complication for the science of complex networks is that in most cases, observing all nodes and all network interactions is impossible. Previous work addressing the impacts of partial network data is surprisingly limited, focuses primarily on missing nodes, and suggests that network statistics derived from subsampled data are not suitable estimators for the same network statistics describing the overall network topology. We generate scaling methods to predict true network statistics, including the degree distribution, from only partial knowledge of nodes, links, or weights. Our methods are transparent and do not assume a known generating process for the network, thus enabling prediction of network statistics for a wide variety of applications. We validate analytical results on four simulated network classes and empirical data sets of various sizes. We perform subsampling experiments by varying proportions of sampled data and demonstrate that our scaling methods can provide very good estimates of true network statistics while acknowledging limits. Lastly, we apply our techniques to a set of rich and evolving large-scale social networks, Twitter reply networks. Based on 100 million tweets, we use our scaling techniques to propose a statistical characterization of the Twitter Interactome from September 2008 to November 2008. Our treatment allows us to find support for Dunbar's hypothesis in detecting an upper threshold for the number of active social contacts that individuals maintain over the course of one week.
Journal Article
Positivity of the English Language
Over the last million years, human language has emerged and evolved as a fundamental instrument of social communication and semiotic representation. People use language in part to convey emotional information, leading to the central and contingent questions: (1) What is the emotional spectrum of natural language? and (2) Are natural languages neutrally, positively, or negatively biased? Here, we report that the human-perceived positivity of over 10,000 of the most frequently used English words exhibits a clear positive bias. More deeply, we characterize and quantify distributions of word positivity for four large and distinct corpora, demonstrating that their form is broadly invariant with respect to frequency of word use.
Journal Article
Conceptualizing Race in the Genomic Age
My fundamental argument is that a collective concept of race that presumes that there are, or were at some point in the past, discreet genetic groups that have tracked along continental lines and that those differences are the fundamental basis for our folk and political groupings of white, black, Asian, Native American, and Pacific Islander is a fallacy that will always lead to social inequality. Such an understanding of race currently reverberates through genetic science, but for social and political reasons, and with good intentions. But if we want to move toward a social order that promotes social justice, all of us across the sciences, throughout health policy, and in the wider public will need to reconceptualize race in terms of legacies of discrimination. We will need to shift our focus from molecular differences to social and political differences, especially when we conduct gene‐environment analyses.
Journal Article
Ambiguity and Scientific Authority: Population Classification in Genomic Science
The molecularization of race thesis suggests geneticists are gaining greater authority to define human populations and differences, and they are doing so by increasingly defining them in terms of U.S. racial categories. Using a mixed methodology of a content analysis of articles published in Nature Genetics (in 1993, 2001, and 2009) and interviews, we explore geneticists' population labeling practices. Geneticists use eight classification systems that follow racial, geographic, and ethnic logics of definition. We find limited support for racialization of classification. Use of quasi-racial \"continental\" terms has grown over time, but more surprising is the persistent and indiscriminate blending of classification schemes at the field level, the article level, and within-population labels. This blending has led the practical definition of \"population\" to become more ambiguous rather than standardized over time. Classificatory ambiguity serves several functions: it helps geneticists negotiate collaborations among researchers with competing demands, resist bureaucratic oversight, and build accountability with study populations. Far from being dysfunctional, we show the ambiguity of population definition is linked to geneticists' efforts to build scientific authority. Our findings revise the long-standing theoretical link between scientific authority and standardization and social order. We find that scientific ambiguity can function to produce scientific authority.
Journal Article
