'Big Data'

The next presentation in this ICA 2018 session is by Drew Margolin, who highlights the growing use of computational methods in communication, and therefore the need to further scrutinise the methods that are popular here. Truth is revealed and reviewed through a succession of studies.

Success therefore depends on collective efficiency at testing and corroborating ideas, and replacing discarded ideas with new work. Existing theory must be tested for its relevance, by applying it to explain observable patterns in the available data; observations must also be used to generate hitherto unimaginable hypotheses. This should also encourage multi-causal explanations through causal …

The next speaker at ICA 2018 is Theo Araujo, whose focus is especially on analysing image content from social media. There are a number of API solutions now becoming available for the analysis of such images, including from Google and Microsoft. The project tested such image analysis tools in the context of the visual self-representation of companies discussing their corporate social responsibility.

Such image recognition platforms may not necessarily produce intuitive or meaningful results. The project automatically extracted the most salient labels these tools had provided for the images, and then computationally grouped these into a number of overarching topics …

The next speaker in this ICA 2018 session is Fabian Pfaffenberger, who also highlights the unreliability of Twitter data. The API’s 1% sample is extremely biased, and the search API is also unreliable in what it delivers; historical data is especially incomplete as the search API delivers only tweets posted in the past 6-7 days and will not include deleted tweets or tweets from subsequently deleted or suspended accounts.

User information is also incomplete, and geodata is largely unreliable and limited to some 1% of all tweets. Further, genuine users are mixed with bots in the datasets – better bot …

I’ve now moved on to an ICA 2018 high-density session on computational methods, which starts with Rebekah Tromble. She begins by noting the uncertainty about what Twitter data actually represent, and her project was to explore these questions.

Keyword query data collected via the Twitter API are not representative of the underlying population: it returns representative, but not necessarily complete data. When the rate limits are hit, the data are truncated, though not on the basis of specific features. The biases that result from such selection are likely to be substantial.

What factors drive such search API sampling, then? Content …

The first ICA 2018 session I’m seeing this Monday morning is on echo chambers, and starts with Kelley Cotter and Mel Medeiros, who outlines the processes by which social media platforms generate algorithmic identities for their users. These identities determine what kind of content users encounter in their (algorithmically curated) newsfeed.

The project then examined how this works in practice: it conducted a survey of Facebook users and asked participants to provide their downloaded Facebook data for comparison. The Facebook data include aspects such as the pages they’ve liked, and the interests inferred (correctly or incorrectly) from these pages. From …

The final speaker in this ICA 2018 session is Lukasz Szulc, who shifts our attention to our digital profiles. Profile making is now ubiquitous in digital culture, especially of course in social networking sites and with the continuing move towards a platformisation of the Internet. Through our increased use of mobile devices they have also become more pervasive.

Profiles are how we write ourselves into digital being: they enable and suggest different ways of presenting ourselves, and foreclose others; and they are deeply enmeshed with the architectures, design, and governance of social media. Through this, social media platforms build certain …

The next speaker in this ICA 2018 session is Zane Cooper, whose interest is in the material constitution of big data. Big data make use of earth and labour that do not easily track with its digital manifestations: they generate a long supply chain of physical hardware that supports the big data cloud. There is therefore a need to distinguish between what big data infrastructures are (their constitutional logic) and what they do (their operational logic).

The metaphor of contamination might be valuable here. Contamination is collaboration in the service of ‘precarious survival’; it is a building and a working …

Together with some of my colleagues from the QUT Digital Media Research Centre, I’ve just released a new, detailed analysis of the structure of the Australian Twittersphere. Covering some 3.72 million Australian Twitter accounts, the 167 million follower/followee connections between them, and the 118 million tweets posted by these accounts during the first quarter of 2017, the new article with Brenda Moon, Felix Münch, and Troy Sadkowsky, published in December 2017 in the open-access journal Social Media + Society, maps the structure of the best-connected core of the Australian Twittersphere network:

The Australian Twittersphere in 2016: Mapping the …

The second keynote at AoIR 2017 is by Marju Lauristin, who is both a professor at the University of Tartu and the rapporteur on e-privacy at the European Parliament, where she also represents Estonia as an MEP; indeed she has been named one of the most influential Estonian women in the world. This week the Parliament voted on new EU privacy regulations which Marju has been instrumental in developing.

Her focus here is on the impact of algorithms on deliberative democracy, and the short summary of the situation is that algorithms will severely affect democracy if the companies that utilise …

The next speaker at AoIR 2017 is Olga Boichàk, who begins by highlighting the role of social media platforms in structuring specific forms of human sociality. But this also means that automated accounts – specifically, bots – can imitate and affect genuine human interactions in these spaces. What does this mean for online discussions in the context of the 2016 U.S. election campaign, then?

This project draws on the Illuminating 2016 research project that gathered some one billion social media messages, and focussed especially on major retweet events (where a candidate's message is widely retweeted by a substantial number of …