14,009 research outputs found

    Validation of Twitter opinion trends with national polling aggregates: Hillary Clinton vs Donald Trump

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    Measuring and forecasting opinion trends from real-time social media is a long-standing goal of big-data analytics. Despite its importance, there has been no conclusive scientific evidence so far that social media activity can capture the opinion of the general population. Here we develop a method to infer the opinion of Twitter users regarding the candidates of the 2016 US Presidential Election by using a combination of statistical physics of complex networks and machine learning based on hashtags co-occurrence to develop an in-domain training set approaching 1 million tweets. We investigate the social networks formed by the interactions among millions of Twitter users and infer the support of each user to the presidential candidates. The resulting Twitter trends follow the New York Times National Polling Average, which represents an aggregate of hundreds of independent traditional polls, with remarkable accuracy. Moreover, the Twitter opinion trend precedes the aggregated NYT polls by 10 days, showing that Twitter can be an early signal of global opinion trends. Our analytics unleash the power of Twitter to uncover social trends from elections, brands to political movements, and at a fraction of the cost of national polls

    Satirical Politics and Late-Night Television Ratings

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    Since the 2016 Presidential election, it has become increasingly difficult to turn on the television or log onto social media without being informed of everything happening at The White House. This includes late-night television. What once was meant for humorous jokes and celebrity interviews suitable for any pop culture follower has not gotten less funny, but nowadays, the jokes are not always jokes. Satirical news has been around for a long time with The Daily Show and The Colbert Report, but as of 2016, the line between fact and fiction cannot be as easily differentiated between as it used to. Now that late-night programs such as Jimmy Kimmel Live, The Late Show, Late Night and even Jimmy Fallon’s version of The Tonight Show have begun making political statements and producing politically motivated skits, my research is asking the question: How do people like this mix of business and pleasure, and what impact is this shift in content having on the shows’ ratings? Are people switching off their favorite late-night programs because where they once went for a break from reality became a reminder of it, instead

    User Generated Revolution and Censorship: Is There A Right To Revolution?

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    User Generated Revolution and Censorship: Is There A Right To Revolution?

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    Final report of work-with-IT: the JISC study into evolution of working practices

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    Technology is increasingly being used to underpin business processes across teaching and learning, research, knowledge exchange and business support activities in both HE and FE. The introduction of technology has a significant impact on the working practices of staff, often requiring them to work in a radically different way. Change in any situation can be unsettling and problematic and, where not effectively managed, can lead to poor service or functionality and disenfranchised staff. These issues can have a direct impact on institutional effectiveness, reputation and the resulting student experience. The Work-with-IT project, based at the University of Strathclyde, sought to examine changes to working practices across HE and FE, the impact on staff roles and relationships and the new skills sets that are required to meet these changes

    Mental health discourse and social media: Which mechanisms of cultural power drive discourse on Twitter

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    The global burden of mental health disorders has increased steadily during the past decade. Today, mental illness is the leading cause of total years lived with disability. At the same time, global mental health policies and budgets fall short of addressing the societal burden as mental health discourse languishes in the shadows due to stigma. As social media have become an increasingly popular source of i

    Philanthropy and Social Media

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    We define social media as online or digital technologies that serve to connect people, information and organisations through networks. The term evolved as a way to -distinguish the emerging online -information platforms from traditional "broadcast media" -- TV, radio, film, newspapers -- by highlighting that these new tools -were "socialised" and allowed the audiences to contribute to their content. Social media have therefore become defined in relation to these existing media channels, but in fact they have their ancestry in existing social technologies, like the telephone and the letter. If traditional media connect people to information, social media connect people to people
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