Summer School on Computational Misinformation Analysis 2019

Summer School on Computational Misinformation Analysis

Organised by the SoBigData project, with support from the WeVerify project

June 25-28 2019, King’s College London

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 hyper-partisan media 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.

Not only does misinformation 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.

The aim of this summer school is, firstly, to set out the state-of-the-art and challenges in computational misinformation analysis, followed by lectures and hands-on practical sessions on relevant  methods, tools, and datasets.

The summer school programme provides further details. Participant numbers are limited to 40, so early registration is advised.


Confirmed lecturers include leading experts on misinformation analysis, drawn from the WeVerify, InVID, PHEME, and SoBigData projects.

Lecturer names, schedule and details are provided in the summer school programme.

The summer school is organised by Prof. Kalina Bontcheva, University of Sheffield.


There is some student accommodation available – the deadline to book is 31 May. King’s Venues have availability for the rooms at Stamford Street Residence (127 Stamford Street, London SE1 9NQ SSA), which is located in Waterloo (10 min from Strand Campus where the summer school takes place ). The cost for each room is £ 54.00 per night.

To book rooms at the agreed rate you can now do so via our booking page here: by using promotion code: sheffield2019


Please fill in and sign this registration form and email it to You will then be sent details about payment.

Registration deadline: 31 May 2019

Registration fees

Software Tools

Please install in advance, if possible:



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