4,139 research outputs found

    Living analytics methods for the social web

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    The Australia we love: a report on key issues affecting nature and society in Australia

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    This report identifies the need to establish a clear and credible baseline of key trends and issues affecting nature and society in Australia and around the world, on the assumption that a healthy Australian society relies on healthy nature for our prosperity and our wellbeing. This credible baseline is one necessary element for galvanizing and growing a people’s movement for nature in Australia. Such a movement will be critical if Australians are to adopt and implement the systemic changes required of our society to achieve our true potential this century. The report is divided into 7 sections. Section 1 highlights the importance of healthy nature as the foundation for a healthy and prosperous society. Section 2 is a brief note of the long history of human influence on nature in Australia, and the complexity involved in decisions regarding land, water and sea. Section 3 provides a synthesis of some of the key indicators of the pressures on nature in Australia and the impact of these pressures on Australian nature and society. Many of the measures reported here are simply snapshots in time and space, highlighting the difficulty of measuring the complexity of nature and our interactions with it in any comprehensive way. Section 4 is a synthesis of similar indicators at a global scale. Section 5 looks at how progress is measured in Australia, and the importance of adopting broader definitions of sustainable wellbeing as a frame for effectively valuing and protecting nature. Section 6 tells the stories of ordinary Australians doing extraordinary things for nature, inspiring us all to better value and protect what we have. Section 7 is a call to action that looks ahead to an innovative and solutions-focused future in which Australia is effectively valuing and protecting nature as the foundation for the sustainable wellbeing of our society

    SIWeb: understanding the Interests of the Society through Web data Analysis

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    The high availability of user-generated contents in the Web scenario represents a tremendous asset for understanding various social phenomena. Methods and commercial products that exploit the widespread use of the Web as a way of conveying personal opinions have been proposed, but a critical thinking is that these approaches may produce a partial, or distorted, understanding of the society, because most of them focus on definite scenarios, use specific platforms, base their analysis on the sole magnitude of data, or treat the different Web resources with the same importance. In this paper, we present SIWeb (Social Interests through Web Analysis), a novel mechanism designed to measure the interest the society has on a topic (e.g., a real world phenomenon, an event, a person, a thing). SIWeb is general purpose (it can be applied to any decision making process), cross platforms (it uses the entire Webspace, from social media to websites, from tags to reviews), and time effective (it measures the time correlatio between the Web resources). It uses fractal analysis to detect the temporal relations behind all the Web resources (e.g., Web pages, RSS, newsgroups, etc.) that talk about a topic and combines this number with the temporal relations to give an insight of the the interest the society has about a topic. The evaluation of the proposal shows that SIWeb might be helpful in decision making processes as it reflects the interests the society has on a specific topic

    The Forum, Vol. 8, Issue 1

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    Discovering evolving political vocabulary in social media

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    Abstract—As a surrogate data source for many real-world phenomena, social media such as Twitter can yield key in-sight into people’s behavior and their group affiliations and memberships. As an event unfolds on Twitter, the language, hashtags, and vocabulary used to describe it evolves over time, so that it is difficult to a priori capture the composition of a social group of interest using static keywords. Capturing such dynamic compositions is crucial to both understanding the true membership of social groups and in providing high-quality data for downstream applications such as trend forecasting. We propose a novel unsupervised learning algorithm that builds dynamic vocabularies using probabilistic soft logic (PSL), a framework for probabilistic reasoning over relational domains. Using 10 presidential elections from eight countries of Lati

    For the Love of Robots: Posthumanism in Latin American Science Fiction Between 1960-1999

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    Posthumanism—understood as a symbiotic relationship between humans and technology—is quickly and surely becoming an inextricable part of daily life. In an era where technology can be worn as an extension of—and an enhancement to—our bodies, traditional science fiction tropes such as robots and cyborgs resurface and reformulate questions on critical aspects of human experience: who are we and what do our (imagined) technologies say about our world? Such questions are far more complex than they appear. Their answers should not come from one source alone, as humanness is experienced differently across time and cultural systems. In this sense, it is imperative to focus critical attention on works beyond the English-language canon in order to discover alternative readings of the posthuman, understand how varying historical, social, and economic contexts give new meanings to robots, cyborgs and hyper-technological imaginaries, and provide balancing perspectives to the ideas presented in canon posthuman science fiction from the developed world. To this end, this study centers on posthuman science fiction from Latin America. The primary works included here are limited only to Mexico, Chile, and Argentina—three of the countries with the greatest science fiction output in the region. This study explores the intersections of gender, sexualities, and posthumanism, as well as the underlying sociopolitical implications of such narratives. They exhibit an undeniable influence of canon Anglophone science fiction in terms of tropes (robots as mates for humans, cybernetic doppelgangers, technological utopias and dystopias) as well as problematic representations of gender, sex, and race. Yet, at the same time, posthuman elements in these Latin American narratives exhibit distinct local traits. Moreover, robot and cyborg figures enhance and renew discourses of political corruption, dictatorial trauma, surveillance, social and ecological decline. This study aims to outline the ways in which Latin American posthuman science fiction stands apart from the canon and proves itself as a legitimate genre. Simultaneously, this project seeks to supplement the nascent critical corpus on Latin American science fiction. It is my hope that this study’s insights will contribute to the field’s growth and success with scholars and readers alike

    Abstracts: HASTAC 2017: The Possible Worlds of Digital Humanities

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    The document contains abstracts for HASTAC 2017
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