I am delighted to report the culmination of a very intensive, highly collaborative project: our new book Twitter and Society, edited by Katrin Weller, Jean Burgess, Merja Mahrt, Cornelius Puschmann, and me, was launched at the Association of Internet Researchers conference in Denver a few days ago and is now available from Amazon and the Peter Lang Website. I’m very pleased that we managed to get the first copies of the book printed in time for the conference, to be able to hand them to the many of our contributors who were present at AoIR 2013.

The book is a 450-page anthology of the very best of current Twitter research, providing a comprehensive overview of research methods, concepts, challenges, and applications. It features some 31 chapters, a foreword by the University of Amsterdam’s Richard Rogers – and we’re particularly proud to have been able to use the painting Die Zwitschermaschine (The Twittering Machine) by Paul Klee as the book cover. Many, many thanks to our 45 contributors for their fabulous contributions. A full list of chapters is below – and here’s a group photo from the launch at AoIR 2013. You can also follow further updates about the book at @twitsocbook!

After the “Compromised Data” symposium in Toronto I’ve made my way over to Europe, where my first stop is a PhD symposium in Copenhagen where I’ve been invited to present an update on my work on produsage. Here, I’ve revisited the fundamental concept of produsage and made the link to my current work on the uses of social media, especially in a journalistic context. Slides and audio below:

The next "Compromised Data" is Mariluz Sánchez, who is taking a socio-semiotic approach to the intersection between television and the Internet. This transforms the concept of interactivity, revolutionising reception and enabling the development of transmedia storytelling where viewers develop relationships with the content through various platforms.

Various resources are available to viewers online, promoting consumption and building loyalty towards the programming. Industry is now providing direct access to audiences, and viewers' ability to provide direct feedback can be seen as a form so social empowerment. Mariluz analysed these resources by examining the resources listed on the first five pages of Google search results for specific TV shows, excluding BitTorrent and other download resources.

The next speaker at "Compromised Data" is Robert Gehl, whose interest is in critically reverse-engineering social media as a form of critiquing and producing alternatives to current social media platforms. This builds on reverse-engineering approaches in engineering, economics and law, on science and technology as well as software studies, and on critical humanism.

Reverse-engineering is a method of producing knowledge by dissociating human-made artefacts. Such knowledge is then used to produce new associated artefacts that bear some relation to the old. Some reverse-engineering has merely functional and pragmatic reasons, but in other cases reverse-engineering takes a more critical perspective, using for example in actor-network theory or conducting an ethnography of the infrastructure by following the actors.

The final speaker on this first day of "Compromised Data" is Sidneyeve Matrix, who shifts our focus towards geosocial information as generated by smartphones and other mobile devices. Only 12% of US users as surveyed by the Pew Centre posted Foursquare check-ins in 2013, for example, down from 18% in 2011 - but this may mask a greater take-up of other location-based services, not least the Frequent Locations functionality in iOS7.

There is a continuing trend towards the consumerisation of geodata. Geosocial cultural arrangements are explored through the use of mobile communication patterns, but such analysis is notoriously difficult - not because of a lack of data, but because of the difficulties in assigning meaning to the geolocated information which is available from a variety of platforms.

The next speaker at "Compromised Data" is Joanna Redden, whose interest is in government uses of 'big data', especially in Canada. There's a great deal of hype surrounding 'big data' in government at the moment, which needs to be explored from a critical perspective; the data rush has been compared to the gold rush, with similarly utopian claims - here especially around the ability for 'big data' to support decision-making and democratic engagement, and the contribution 'big data'-enabled industries can make to the GDP.

But how are 'big data' actually being used in government contexts? New tools and techniques for the analysis of 'big data' are of course being used in government, but how these affect policy decisions remains unclear. Social media analysis is similarly being used for public policy and service delivery; sentiment analysis is used for some decisions around law enforcement and service delivery, but adoption to date is slow.

The final presentation in this "Compromised Data" session is by Mary Francoli and Dan Paré, who focus on the question of engagement and mobilisation in a time of rapidly evolving social media use. One initial observation is that these terms lack definitional clarity - there are some very high-level definitions (e.g. building on UN definitions), but these remain vague; political and civic engagement are conflated, and specific forms of engagement are not necessarily defined in detail.

Simply voting is a form of engagement, for example, but is clearly different from other, more complex forms of political engagement. The literature increasingly links these types of activity with social media (and with the Net more broadly) - and the extent to such such forms of engagement occur, and how they interrelate with forms of offline political engagement, need to be studied in greater detail.

The next session at "Compromised Data" starts with Frauke Zeller, who begins by noting the multimodality of communication, including through social media: many texts are using more than one semiotic mode, combining text, images, audio and video. How can the existing methods for studying multimodality be transferred to online environments, and to research building on 'big data', however?

Some such work begins with exploring the networks between users, and between texts, but this is not enough - how do we move from the macro to the meso and micro levels of communication? How do we move to the manifest to more latent content, especially where non-textual content is involved?