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The authors in this study examined the function and public reception of critical tweeting in online campaigns of four nationalist populist politicians during major national election campaigns. Using a mix of qualitative coding and case study inductive methods, we analyzed the tweets of Narendra Modi, Nigel Farage, Donald Trump, and Geert Wilders before the 2014 Indian general elections, the 2016 UK Brexit referendum, the 2016 US presidential election, and the 2017 Dutch general election, respectively. Our data show that Trump is a consistent outlier in terms of using critical language on Twitter when compared to Wilders, Farage, and Modi, but that all four leaders show significant investment in various forms of antagonistic messaging including personal insults, sarcasm, and labeling, and that these are rewarded online by higher retweet rates. Building on the work of Murray Edelman and his notion of a political spectacle, we examined Twitter as a performative space for critical rhetoric within the frame of nationalist politics. We found that cultural and political differences among the four settings also impact how each politician employs these tactics. Our work proposes that studies of social media spaces need to bring normative questions into traditional notions of collaboration. As we show here, political actors may benefit from in-group coalescence around antagonistic messaging, which while serving as a call to arms for online collaboration for those ideologically aligned, may on a societal level lead to greater polarization. [ABSTRACT FROM AUTHOR]

Objectives This study measures the prevalence of risk factors among pregnant women and young children aged 12-24 months in a rural community in West Bengal, India. Methods Community health workers (CHWs) enrolled women and children into this 2015 cross-sectional study. Pregnant women were evaluated for underweight, anemia, and abnormal blood pressure. Children were evaluated for underweight, abnormal head and upper arm circumferences, and low scores from the Ages and Stages Questionnaire (ASQ). Data were collected on smartphones and tablets or by paper. Results More than half of the 279 women (59.9%) had a risk factor during pregnancy: 48.7% were anemic, 35.1% had low blood pressure, and 7.5% were underweight. Among the 366 children, 59.3% had a risk factor, including 24.0% with low ASQ scores and 49.7% who had abnormal anthropometric measures. Conclusions for Practice Vulnerable populations, such as pregnant women and young children, needed a greater connection to doctors in this rural community. This study demonstrated the feasibility of CHWs to listen to health concerns and connect underserved populations with health care services. [ABSTRACT FROM AUTHOR]