19,974 research outputs found

    Helping crisis responders find the informative needle in the tweet haystack

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    Crisis responders are increasingly using social media, data and other digital sources of information to build a situational understanding of a crisis situation in order to design an effective response. However with the increased availability of such data, the challenge of identifying relevant information from it also increases. This paper presents a successful automatic approach to handling this problem. Messages are filtered for informativeness based on a definition of the concept drawn from prior research and crisis response experts. Informative messages are tagged for actionable data -- for example, people in need, threats to rescue efforts, changes in environment, and so on. In all, eight categories of actionability are identified. The two components -- informativeness and actionability classification -- are packaged together as an openly-available tool called Emina (Emergent Informativeness and Actionability)

    Tracking Dengue Epidemics using Twitter Content Classification and Topic Modelling

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    Detecting and preventing outbreaks of mosquito-borne diseases such as Dengue and Zika in Brasil and other tropical regions has long been a priority for governments in affected areas. Streaming social media content, such as Twitter, is increasingly being used for health vigilance applications such as flu detection. However, previous work has not addressed the complexity of drastic seasonal changes on Twitter content across multiple epidemic outbreaks. In order to address this gap, this paper contrasts two complementary approaches to detecting Twitter content that is relevant for Dengue outbreak detection, namely supervised classification and unsupervised clustering using topic modelling. Each approach has benefits and shortcomings. Our classifier achieves a prediction accuracy of about 80\% based on a small training set of about 1,000 instances, but the need for manual annotation makes it hard to track seasonal changes in the nature of the epidemics, such as the emergence of new types of virus in certain geographical locations. In contrast, LDA-based topic modelling scales well, generating cohesive and well-separated clusters from larger samples. While clusters can be easily re-generated following changes in epidemics, however, this approach makes it hard to clearly segregate relevant tweets into well-defined clusters.Comment: Procs. SoWeMine - co-located with ICWE 2016. 2016, Lugano, Switzerlan

    The Future of Social Marketing

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    {Excerpt} Social marketing is the use of marketing principles and techniques to effect behavioral change. It is a concept, process, and application for understanding who people are, what they desire, and then organizing the creation, communication, and delivery of products and services to meet their desires as well as the needs of society, and solve serious social problems. Organizations have never had such powerful information and communication technologies with which to interact with clients, audiences, and partners; explore, find, capture, store, analyze, present, use, and exchange information dataand information about them; and tailor products and services accordingly. Along with that, never before have end users expected to interface so closely with organizations and with one another to define and shape what they need. In its highest form, marketing is now considered a social process, composed of human behavior patterns concerned with exchange of resources or values.It is no longer a mere function used to increase business profits

    Participatory agro-climate information services: A key component in climate resilient agriculture

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    The brief promotes participatory agro-climate information services as a key component in achieving climate-smart agriculture. The brief emphasizes that actionable agro-climate information starts with—and responds to—gender-based needs of farmers, integrated at all stages of the value chain. Timely forecasts and accurate agroclimate advisories have been proven to provide farmers with production, adaptation, and mitigation benefits

    Education, Employment, and Health Outcomes for Black Boys and Young Men: Opportunities for Research and Advocacy Collaboration

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    In May 2013, CLASP's Partnership Circle and the Scholars Network on Black Masculinity convened 32 nationally recognized researchers and policy advocates, who identified areas of potential influence in crafting policy solutions for black male adolescents and opportunities to act individually and collectively to advance work in these areas
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