Name: Measuring information exposure in the new media environment (EXPONet)
Start: 2019-07-22T10:00:00+01:00
End: 2019-07-22T16:00:00+01:00
Location: The Alan Turing Institute

Measuring information exposure in the new media environment (EXPONet) 

We are the UK’s national institute for data science and artificial intelligence.The Institute is named in honour of Alan Turing, whose pioneering work in theoretical and applied mathematics, engineering and computing is considered to have laid the foundations for modern-day data science and artificial intelligence. The Institute’s goals are to undertake world-class research in data science and artificial intelligence, apply its research to real-world problems, driving economic impact and societal good, lead the training of a new generation of scientists, and shape the public conversation around data.Click here to join our newsletter

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The Internet and social media have radically changed the media environment, the types of content the public is exposed to as well as the exposure process itself.  Individuals are faced with a wider range of options (from social and traditional media), new patterns of exposure (socially mediated and selective), and alternate modes of content production (e.g. user-generated content). One of the central questions about the effect of these technological changes is whether and how the developments have contributed to increased polarisation in society and incorrect beliefs through exposure to a narrow range of views and fake news.
Measuring Information Exposure in Dynamic and Dependent Networks (EXPONet) is an ESRC/NCRM funded project on the measurement of media exposure in the digital age. As part of this project we have developed a set of tools that allow researchers to trace news exposure using digital trace data, extract and analyse text and detect online communities of news audiences, and model how these exposure networks change over time. These tools are built on computational data science methods including dynamic network analysis, natural language processing and machine learning.
During the morning session (10am-12:45pm), we will present key research findings from EXPONet that have arisen from the implementation of the tools we have developed. Speakers will include Prof. Susan Banducci (Exeter), Dr. Travis Coan (Exeter), Dr. Iulia Cioroianu (Bath), Dr Hywel Williams (Exeter) and Dr Lorien Jasny (Exeter).
In the afternoon session (1:30pm - 4pm) Prof. David Lazer (Northeastern) will deliver a key-note talk on the spread of fake news during the 2016 Presidential Election. The day will culminate with a panel discussion on the topic "Improving exposure to quality information through Digital Engagement & Civic Technology" with panellists including Dr Rebecca Rumbul (Research Director at mySociety

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Measuring information exposure in the new media environment (EXPONet)

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