38 research outputs found

    Social media in public health: an analysis of national health authorities and leading causes of death in Spanish-speaking Latin American and Caribbean countries

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    BACKGROUND: Information and communications technologies, like social media, have the potential to reduce some barriers in disease prevention and control in the Americas. National health authorities can use these technologies to provide access to reliable and quality health information. A study was conducted to analyze availability of information about the leading causes of death on social media channels of national health authorities in 18 Spanish-speaking Latin American and Caribbean countries. METHODS: We gathered data of national health authorities’s institutional presence in social media. Exploratory-descriptive research was useful for analysis and interpretation of the data collected. An analysis was carried out for 6 months, from April 1 to September 30, 2015. RESULTS: Sixteen of the 18 countries studied have institutional presences on social media. National health authorities have a presence in an average of almost three platforms (2.8%). An average of 1% of the populations with Internet access across the 18 countries in this study follows national health authorities on social media (approximately, an average of 0.3% of the total population of the countries under study). On average, information on 3.2 of the 10 leading causes of death was posted on the national health authorities’ Facebook pages, and information on 2.9 of the 10 leading causes of death was posted on their Twitter profiles. Additionally, regarding public health expenditures and the possibility of retrieving information on the leading causes of death, an apparent negative correlation exists in the case of Facebook, r(13) = −.54, P = .03 and a weak negative correlation in the case of Twitter, r(14) = −.26, P = .31, for the countries with presences in those networks. CONCLUSIONS: National health authorities can improve their role in participating in conversations on social media regarding the leading causes of death affecting their countries. Taking into account Internet accessibility levels in the countries under study and the high rates of people using social networks in even the poorest countries, further research is needed to provide evidence that more dedication to health promotion interventions through social media could significantly improve the impact and reach of public health messages and initiatives. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s12911-017-0411-y) contains supplementary material, which is available to authorized users

    Judgment of the Humanness of an Interlocutor Is in the Eye of the Beholder

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    Despite tremendous advances in artificial language synthesis, no machine has so far succeeded in deceiving a human. Most research focused on analyzing the behavior of “good” machine. We here choose an opposite strategy, by analyzing the behavior of “bad” humans, i.e., humans perceived as machine. The Loebner Prize in Artificial Intelligence features humans and artificial agents trying to convince judges on their humanness via computer-mediated communication. Using this setting as a model, we investigated here whether the linguistic behavior of human subjects perceived as non-human would enable us to identify some of the core parameters involved in the judgment of an agents' humanness. We analyzed descriptive and semantic aspects of dialogues in which subjects succeeded or failed to convince judges of their humanness. Using cognitive and emotional dimensions in a global behavioral characterization, we demonstrate important differences in the patterns of behavioral expressiveness of the judges whether they perceived their interlocutor as being human or machine. Furthermore, the indicators of interest displayed by the judges were predictive of the final judgment of humanness. Thus, we show that the judgment of an interlocutor's humanness during a social interaction depends not only on his behavior, but also on the judge himself. Our results thus demonstrate that the judgment of humanness is in the eye of the beholder

    Medical Discourse and Subjectivity

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    International audienceActors and users of the medical field (doctors, nurses, patients, medical students, pharmacists, etc.) are neither from the same social and professional category nor they have the same expertise level of the field. Their writings testify about this fact through the terminology used, for instance. Besides, the writings also show difference in the use of subjectivity markers. The automatic study of the subjectivity in the medical discourse in texts written in French is addressed in this paper. We compare the documents written by medical doctors and biomedical researchers (scientific literature, clinical reports) with the patient discourse (discussions from health fora) through a contrastive analysis of differences observed in the use of descriptors like uncertainty and polarity markers, non-lexical (smileys, repeated punctuations, etc.) and lexical emotional markers, and medical terms related to disorders, medications and procedures. We perform automatic annotation and categorization of documents in order to better observe the specificities of the studied medical discourses
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