Tag Archives: Workshop Event

CaSMa/CASS workshop: Corpus approaches to Social Media Analysis


On December 12th,the CaSMa/CASS workshop on Corpus approaches to Social Medial Analysis took place at the University of Nottingham. The excellend workshop was delivered by Prof. Tony McEnery, Prof. Paul Baker, Dr. Claire Hardaker and Mark McGlashan from the ESRC Centre for Corpus Approaches to Social Science (CASS) at University of Lancaster.

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Corpous Approaches to Social Science

The CaSMa/CASS workshop on Corpus approaches to Social Medial Analysis will be delivered by Prof. Tony McEnery, Prof. Paul Baker, Dr. Claire Hardaker and Mark McGlashan from the ESRC Centre for Corpus Approaches to Social Science (CASS) at University of Lancaster.

The workshop  will look at the use of corpus linguistics to explore social media, specifically Twitter. It is comprised of three talks covering recent research projects in the CASS centre, looking at Twitter reactions to the Channel 4 program Benefits Street (Paul Baker), the murder of Lee Rigby (Tony McEnery) and misogynistic abuse (Claire Hardaker and Mark McGlashan), followed by a session of hand-on experience in doing some basic corpus linguistics using the Antconc 3.4.3 software package and a small database of tweets.

Workshop programme:


Coffee in Cloisters


Welcome and brief introduction to CaSMa


Introduction: Paul Baker and Tony McEnery: Corpus Linguistics and some issues when working with Twitter corpora

11:00 – 12:00

Claire Hardaker & Mark McGlashan: Misogynistic tweets and social networks


Tea and coffee


Paul Baker: Identifying discourse communities in tweets about Benefits Street




Tony McEnery: Comparing Press and Twitter reports on the Lee Rigby Attack

Coffee and cake to be available from 14:30


Paul Baker: Workshop – analysing the “heforshe” Twitter corpus
Please bring laptops for this part of the session (not Macs unless Antconc 3.4.3 installed)


Discussion chaired by Svenja Adolphs (and networking)


CaSMa event at Web We Want festival (29 & 30 November 2014)

WebWeWantOn November 29th and 30th CaSMa will participate in the 2nd Web We Want festival at London’s Southbank Centre. CaSMa will have a stand at the Interactive Market where we will present the work we are doing to develop and promote ethical social media research.

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Workshop event: Computational Models of Social Interaction workshop

   CaSMa_talk_title_page                                            Workshop_title_page

On October 9th 2014, CaSMa presented a talk on “Citizen centric approaches to Social Media analysis” at the “Computaional Models of Social Interaction” workshop. The workshop was organized by Dr. Ansgar Koene, in collaboration with Dr. Mirco Musolesi, Prof. Indrajit Ray, Dr. Ulrik Beierholm and Dr. Colin Rowat and was hosted by the Institute of Advanced Studies at the University of Birmingham.

Computational Models of Social Interaction

CaSMa_talk_title_pageComputational Social Science (CSS) lies at the intersection of applied mathematics, statistics, computer science, and the social sciences, combining ideas from each of these to discover and understand patterns of individual and group behaviours.

The rapid growth of internet services like Wikipedia, Google, Facebook, YouTube, Twitter, and the growing ubiquity of Smartphones, Wi-Fi and other ‘smart’ technologies that (can) collect data about human behaviour are fundamentally changing the way in which we can learn about the social world. In the age of “big data” information about human behaviour is being collected on a scale and never before possible and with tremendous granularity and precision. The ability to collect and process such data will enable researchers to address core questions in the social sciences in new ways and opens up new areas of inquiry.

As Internet and computer usage expands, so does the availability of large-scale, digitized information on social phenomena. The capacity to manage and analyze this information is increasingly important to multiple social domains and institutions in society. Computational sciences afford a variety of techniques to collect, manage and analyze this vast array of information, while the social sciences afford a variety of theories and understandings that can guide computational analysis. On their own, computer science can create new and useful technologies and social scientists can address important social problems and issues, but together they can apply computational techniques to analyze and explain incredibly vast and detailed information on social phenomena – in a theoretically informed way – which we could not imagine possible in the prior decade.

Against this considerable promise stands the equally pressing concern of protecting individual privacy. Privacy is already an important issue for all industries that collect digital information about their consumers. As CSS starts to combine the multitude of data with new insights, analytical and modelling methods, it raises increasingly serious questions about individual privacy, even more than are posed by existing commercial platforms. Precisely these questions, in fact, have already been raised by recent revelations of the NSAs Prism project, which also appears to be an attempt to combine data from multiple sources. The responsible development of CSS therefore requires that ethical issues must be considered at all stages.

09:30 – 10:00    Tea/coffee
10:00 – 10:15    Dr. Ansgar Koene (University of Nottingham/University of Birmingham)  – Welcome/Introduction
10:15 – 11:15    Prof. Steven Bishop (UCL) – ‘Models for social systems: What are they good for?’
11:15 – 11:45    Prof. Chris Baber (University of Birmingham) – ‘Building dark Networks: analysis modelling of network structures in covert groups’
11:45 – 12:00    Coffee
12:00 – 12:30    Dr. Ansgar Koene (UoN/UoB) – ‘Citizen centric approaches to Social Media analysis (CaSMa)’
12:30 – 13:00    Dr. Mirco Musolesi (University of Birmingham) – ‘Understanding Cities using Social Media Data’
13:00 – 13:30    Dr. Emmanouil Tranos (University of Birmingham) – ‘Mobile Phone Usage in Complex Urban Systems: a space-time, aggregated human activity study’
13:30 – 14:30    Lunch
14:30 – 15:30    Dr. Suzy Moat (Warwick) – ‘Predicting human behaviour with Internet data’
15:30 – 16:00    Dr. Colin Rowat (University of Birmingham) – ‘Applying mechanised reasoning to economics’
16:00 – 16:15    Coffee
16:15 – 17:15    Discussion/Grant application preparation