The 'who' and 'what' of #diabetes on Twitter

Social media are being increasingly used for health promotion, yet the landscape of users, messages and interactions in such fora is poorly understood. Studies of social media and diabetes have focused mostly on patients, or public agencies addressing it, but have not looked broadly at all the participants or the diversity of content they contribute. We study Twitter conversations about diabetes through the systematic analysis of 2.5 million tweets collected over 8 months and the interactions between their authors. We address three questions: (1) what themes arise in these tweets?, (2) who are the most influential users?, (3) which type of users contribute to which themes? We answer these questions using a mixed-methods approach, integrating techniques from anthropology, network science and information retrieval such as thematic coding, temporal network analysis, and community and topic detection. Diabetes-related tweets fall within broad thematic groups: health information, news, social interaction, and commercial. At the same time, humorous messages and references to popular culture appear consistently, more than any other type of tweet. We classify authors according to their temporal 'hub' and 'authority' scores. Whereas the hub landscape is diffuse and fluid over time, top authorities are highly persistent across time and comprise bloggers, advocacy groups and NGOs related to diabetes, as well as for-profit entities without specific diabetes expertise. Top authorities fall into seven interest communities as derived from their Twitter follower network. Our findings have implications for public health professionals and policy makers who seek to use social media as an engagement tool and to inform policy design.Comment: 25 pages, 11 figures, 7 tables. Supplemental spreadsheet available from http://journals.sagepub.com/doi/suppl/10.1177/2055207616688841, Digital Health, Vol 3, 201

Trump-induced anxiety among Latina/os

During the 2016 election, Donald Trump castigated unauthorized immigrants as “murderers and rapists.” During his presidency, he continued the use of this rhetoric, explicitly linking unauthorized migrants to threatening narratives. Here, we consider three questions: Did Donald Trump and his immigration positions serve as an “anxiety trigger” for Latina/os? Are individuals with contextually stigmatized attributes especially sensitive to Trump and his policy proposals? Is Spanish language itself, an attribute negatively stigmatized in the context of the immigration issue, sufficient to increase deportation anxiety? Utilizing survey experiments of Latina/os, we demonstrate that exposure to a Trump immigration cue is sufficient to increase anxiety about deportation. We also demonstrate that stigmatized attributes predict anxiety, but do not moderate the effect of the Trump cue. Lastly, we provide evidence that survey language affects anxiety among Latina/os. In Studies 1 (n = 736) and 2 (n = 1,040), we show that exposure to information about Trump’s immigration agenda significantly increases reports about deportation anxiety. In Study 3 (n = 1,734), we show that the Trump exposure condition induces heightened anxiety but that Latina/o attributes (language proficiency and use, immigration status, assessed phenotype) and identity strength have an independent effect on deportation anxiety. In Study 4 (n = 775), we randomized bilingual respondents into Spanish or English language survey protocols and found that comparable bilinguals exposed to Spanish language report higher levels of anxiety compared to English-language survey takers

TiFi: Taxonomy Induction for Fictional Domains [Extended version]

Taxonomies are important building blocks of structured knowledge bases, and their construction from text sources and Wikipedia has received much attention. In this paper we focus on the construction of taxonomies for fictional domains, using noisy category systems from fan wikis or text extraction as input. Such fictional domains are archetypes of entity universes that are poorly covered by Wikipedia, such as also enterprise-specific knowledge bases or highly specialized verticals. Our fiction-targeted approach, called TiFi, consists of three phases: (i) category cleaning, by identifying candidate categories that truly represent classes in the domain of interest, (ii) edge cleaning, by selecting subcategory relationships that correspond to class subsumption, and (iii) top-level construction, by mapping classes onto a subset of high-level WordNet categories. A comprehensive evaluation shows that TiFi is able to construct taxonomies for a diverse range of fictional domains such as Lord of the Rings, The Simpsons or Greek Mythology with very high precision and that it outperforms state-of-the-art baselines for taxonomy induction by a substantial margin

Circling the Cross: Bridging Native America, Education, and Digital Media

Part of the Volume on Learning Race and Ethnicity: Youth and Digital MediaTo paraphrase a Native elder, any road will get you somewhere. The question for Native America is, where will the information highway take them? As Native Americans continue to face challenges from the legacy of colonialism, new media provide both an opportunity and crises in education. Standardized education policy such as No Child Left Behind and funding cuts in social services inadvertently impact Net access and Indian education, yet alternative programs and approaches exist. It is necessary that programs conceptualize new media learning strategies within a historical context by being sensitive to the political and cultural connotations of literacy and technology in Native American communities. By encouraging the use of new media as a tool for grassroots community media and locally relevant storytelling, this chapter asks educators to consider an alternative epistemology that incorporates non-Western approaches to ecology and knowledge

Portraits, Power, and Patronage in the Late Roman Republic

Recent work in ancient art history has sought to move beyond formalist interpretations of works of art to a concern to understand ancient images in terms of a broader cultural, political, and historical context. In the study of late Republican portraiture, traditional explanations of the origins of verism in terms of antecedent influences — Hellenistic realism, Egyptian realism, ancestral imagines — have been replaced by a concern to interpret portraits as signs functioning in a determinate historical and political context which serves to explain their particular visual patterning. In this paper I argue that, whilst these new perspectives have considerably enhanced our understanding of the forms and meanings of late Republican portraits, they are still flawed by a failure to establish a clear conception of the social functions of art. I develop an account of portraits which shifts the interpretative emphasis from art as object to art as a medium of socio-cultural action. Such a shift in analytic perspective places art firmly at the centre of our understanding of ancient societies, by snowing that art is not merely a social product or a symbol of power relationships, but also serves to construct relationships of power and solidarity in a way in which other cultural forms cannot, and thereby transforms those relationships with determinate consequence