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<h1 style="text-align: center;"><strong>Computational Fake News Analysis: </strong><strong><br /></strong><strong>A Practical Workshop</strong></h1>
<p style="text-align: center;"><span style="font-weight: 400;">King’s College London</span></p>
<p style="text-align: center;"><span style="font-weight: 400;">Strand campus</span></p>
<p style="text-align: center;"><span style="font-weight: 400;">King’s Building</span></p>
<p style="text-align: center;"><span style="font-weight: 400;">K0.50</span></p>
<p style="text-align: center;"><span style="font-weight: 400;">WC2R 2LS</span></p>
<h2 style="text-align: center;"><strong>London</strong></h2>
<h2 style="text-align: center;"><strong>15-16 June 2017</strong></h2>
<p style="text-align: center;"><strong>http://www.sobigdata.eu/computational-fake-news-analysis-practical-workshop</strong></p>
<p><br /></p>
<p><span style="font-weight: 400;">The recent past has highlighted the influential role of social networks and other digital media in shaping public debate on current affairs and political issues. Disinformation and the alternative media ecosystem distort societal debates, increase polarisation, and threaten participatory democracy. For instance, the surprising success of Brexit and Trump’s election has been, at least partially, attributed to the unprecedented weave of false information that in both cases have polluted online debate before the vote.</span></p>
<p><br /></p>
<p><span style="font-weight: 400;">Not only do fake news get significant attention and shares, but also alternative narratives often try to gain credibility through reusing content from mainstream media, often framed so as to undermine reader confidence in the latter. </span></p>
<p><br /></p>
<p><span style="font-weight: 400;">The aim of this workshop is, firstly, to set out the state-of-the-art and challenges in fake news analysis, followed by hands-on practical sessions on relevant computational tools, including hyperlink crawling, network analysis, and rumour analysis.</span></p>
<h2><strong>Programme</strong></h2>
<h4><strong> 15 June 2017</strong></h4>
<h3><span style="font-weight: 400;">10:00 - 10:30 Workshop introduction and aims (K. Bontcheva & M. Cote)</span></h3>
<h3><span style="font-weight: 400;">10:30 - 12:30 Panel Discussion on Fake News Analysis: State-of-the-art and Challenges </span></h3>
<h3><strong>Chair</strong><span style="font-weight: 400;">: Tobias Blanke (King’s College London)</span></h3>
<ul>
<li style="font-weight: 400;">
<h3><span style="font-weight: 400;">Martin Moore (Centre for the Study of Media, Communication and Power, KCL)</span></h3>
</li>
<li style="font-weight: 400;">
<h3><span style="font-weight: 400;">First Draft News representative (TBC)</span></h3>
</li>
<li style="font-weight: 400;">
<h3><span style="font-weight: 400;">Kalina Bontcheva (University of Sheffield)</span></h3>
</li>
<ul>
<li style="font-weight: 400;"><span style="font-weight: 400;">Rumour analysis in the PHEME project</span></li>
</ul>
<li style="font-weight: 400;">
<h3><span style="font-weight: 400;">Mark Cote (King's College London)</span></h3>
</li>
<li style="font-weight: 400;">
<h3><span style="font-weight: 400;">Mathieu Jacomy (Sciences Po, Paris)</span></h3>
</li>
<ul>
<li style="font-weight: 400;"><span style="font-weight: 400;">Field guide to fake news</span></li>
</ul>
</ul>
<h3><span style="font-weight: 400;"> 12:30 - 13:30 Lunch and Networking</span></h3>
<h3><span style="font-weight: 400;">13:30 - 17:30 Investigating Fake News Site Networks</span></h3>
<h3><span style="font-weight: 400;">Learn how to use open-source hyperlink crawling and network analysis in order to investigate the connectivity profile of fake news websites. During the workshop, we will crawl the ‘fake news ecosystem’ as a multipartite domain inhabited by different types of websites (that may or may not be actually labelled as fake news) such as:</span></h3>
<ul>
<li style="font-weight: 400;">
<h3><span style="font-weight: 400;">political satire</span></h3>
</li>
<li style="font-weight: 400;">
<h3><span style="font-weight: 400;">conspiracy theory websites</span></h3>
</li>
<li style="font-weight: 400;">
<h3><span style="font-weight: 400;">traditional news</span></h3>
</li>
<li style="font-weight: 400;">
<h3><span style="font-weight: 400;">extreme political websites</span></h3>
</li>
<li style="font-weight: 400;">
<h3><span style="font-weight: 400;">websites farming ad revenues</span></h3>
</li>
<li style="font-weight: 400;">
<h3><span style="font-weight: 400;">fake news trackers</span></h3>
</li>
<li style="font-weight: 400;">
<h3><span style="font-weight: 400;">actors who produce discuss about the fake news phenomenon</span></h3>
</li>
</ul>
<h3><span style="font-weight: 400;">Participants will learn how harvest the network of hyperlinks connecting these websites and how to visualise and analyse such network.</span></h3>
<p><br /></p>
<h4><strong>16 June 2017</strong></h4>
<h3><span style="font-weight: 400;">09:30 - 12:30 Analysing Online Rumours </span></h3>
<h3><span style="font-weight: 400;">Learn how to use open-source text and social media analysis tools, in order to detect automatically online rumours, analyse opinion polarisation around these, and determine their likely overall veracity. This session will present the latest tools developed in the </span><a href="http://www.pheme.eu"><span style="font-weight: 400;">PHEME project</span></a><span style="font-weight: 400;"> on computational rumour analysis. </span></h3>
<h3><span style="font-weight: 400;"> 12:30 - 13:00 Closing remarks</span></h3>
<p><br /></p>
<h2><strong>Registration</strong></h2>
<p><span style="font-weight: 400;">Attendance is free, but please register at (password: FKNEWS1506): </span></p>
<p><a href="https://www.eventbrite.co.uk/e/computational-fake-news-analysis-a-practical-workshop-tickets-34776359026"><span style="font-weight: 400;">https://www.eventbrite.co.uk/e/computational-fake-news-analysis-a-practical-workshop-tickets-34776359026</span></a></p>
<h3><strong><em>Tools </em></strong><strong>(Please install in advance, if possible)</strong></h3>
<h3><span style="font-weight: 400;">Gephi (network analysis)</span></h3>
<h3><a href="https://emea01.safelinks.protection.outlook.com/?url=http%3A%2F%2Fhyphe.medialab.sciences-po.fr&data=01%7C01%7Cmark.cote%40kcl.ac.uk%7Cbfcccc275f3d453058f608d46f6d3069%7C8370cf1416f34c16b83c724071654356%7C0&sdata=oHS9Upfa%2BuAN9GCQq1qxQsZJtAMuVpFz82P8q8TkguY%3D&reserved=0"><span style="font-weight: 400;">http://hyphe.medialab.sciences-po.fr</span></a></h3>
<h3><span style="font-weight: 400;">GATE (rumour analysis; text and social media analytics)</span></h3>
<a href="https://gate.ac.uk/download/#latest"><span style="font-weight: 400;">https://gate.ac.uk/download/#latest</span></a><span style="font-weight: 400;"> </span><br /> <br /> <span class="sig">-- <br /> Beatrice Rapisarda<br /> Web Applications for the Future Internet Lab, IIT- CNR<br /> Via G.Moruzzi 1, 56124 Pisa, Italy<br /> Tel.: +39 050 315 3438</span></div>
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