We start the first paper session at WebSci 2016 with a paper by Guanliang Chen that examines learner engagement with Massively Open Online Courses (MOOCs). These generate a great deal of data about learner engagement during the MOOC itself, but there's very little information about learners before and after this experience. Can we use external social Web data to identify and profile these learners, in order to better customise the learning experience for them?

The biggest challenge in this is to identify the learners across diverse social media platforms. There are some possible approaches: explicit matching based on public email …

It's a cool morning in Germany, and I'm in Hannover for the opening of the 2016 Web Science conference, where later today my colleague Katrin Weller and I will present our paper calling for more efforts to preserve social media content as a first draft of the present. But we start with an opening keynote by Yahoo!'s Ricardo Baeza-Yates, on Data and Algorithmic Bias in the Web.

Ricardo begins by pointing out that all data have a built-in bias; additional bias is added in the data processing and interpretation. For instance, some researchers working with Twitter data then extrapolate …

One more post before I head home from the AoIR 2015 conference in Phoenix: during the conference, I also received my author’s copy of Hashtag Publics, an excellent new collection edited by Nathan Rambukkana. In this collection, Jean Burgess and I published an updated version of our paper from the ECPR conference in Reykjavík, which conceptualises (some) hashtag communities as ad hoc publics – and Theresa Sauter and I also have a chapter in the book that explores the #auspol hashtag for Australian politics.

Axel Bruns and Jean Burgess. “Twitter Hashtags from Ad Hoc to Calculated Publics.” …

Finally in this AoIR 2015 session, we move on to Greg Elmer, one of the editors of Compromised Data: From Social Media to Big Data. His contribution is focussed on the practice of collecting data from social media sites, some of which is done using some very simple Web scraping tools (as Edward Snowden did at the NSA, apparently).

Scraping is now a common practice in a number of contexts; some sites scrape from mainstream news sites in order to gain better search rankings, for example. Google briefly introduced a tool to identify where site content had been scraped …

The next speaker in the Compromised Data session at AoIR 2015 is Robert Gehl, whose focus is on the effects of corporate social media. There is a conflict between the critiques of proprietary social media spaces and the obvious pleasures of using social media; what do we do about this?

Robert suggests that we make our own, by building alternatives to the standard commercial social media platforms. This proceeds by critical reverse engineering: taking apart existing artefacts to produce new and alternative artefacts that bear a relation to the old while striving towards justice.

There are four points of contact …