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Introducing the ADM+S Australian Search Experience Project

I’ve not yet had the chance to write much about one of the major new projects I’m involved with: the ARC Centre of Excellence for Automated Decision-Making and Society (ADM+S), a large-scale, multi-institutional, seven-year research centre that investigates the impact of automated decision-making technologies (including algorithms, artificial intelligence, and other such technologies) on all aspects of our personal and professional lives. In particular, for the first year of the Centre I’ve led the News & Media Focus Area, which recently held its inaugural symposium to take stock of current research projects and plan for the future. (This was also the time for me to hand that leadership over to my colleagues Jean Burgess (QUT) and James Meese (RMIT), as I step back from that role to concentrate on another major project – more on this in a future update.)

Within News & Media, I’ve also led a major research project which we launched publicly in late July, and which is now producing first research outcomes: the Australian Search Experience. Inspired by an earlier project by our ADM+S partner organisation AlgorithmWatch in Germany, this project investigates the extent to which the search results Australian users encounter as they query search engines like Google are personalised and therefore differ from user to user; if they are, this would leave open the possibility of user being placed in so-called ‘filter bubbles’ – a concept which I’ve questioned in my recent book Are Filter Bubbles Real? We even have a promo video:

  

Investigating such personalisation is difficult: since every user is assumed to see a personalised set of search results, we need to compare these results across a large number of users in order to determine whether there is any significant personalisation, and what aspects of these users’ identities might drive such personalisation. While some studies approach this challenge by setting up a large number of ‘fake’ user accounts that are given a particular user persona by making them search repeatedly for specific topics that are expected to contribute to the search engine’s profile for the account, AlgorithmWatch’s earlier, German study took a different approach and invited a large number of real users to contribute as citizen scientists to the study. To do so, they were asked to install a browser plugin that regularly searched for a predefined set of keywords and reported the results back to AlgorithmWatch’s server.

Our ADM+S project uses this same data donation approach, but extends it further: we query four major search engines (Google Search, Google News, Google Video, and YouTube), and we are able to vary our search terms over the duration of the project. Like the earlier project, we also ask users to provide some basic demographic information (in order to link any systemic personalisation patterns we may encounter with those demographics), but never access any of our participants’ own search histories. Our browser plugin is available for the desktop versions of Google Chrome, Mozilla Firefox, and Microsoft Edge, and I’m pleased to say that more than 1,000 citizen scientists have now installed the plugin.

If you’re based in Australia, and you’d like to contribute to the project, please go to the project Website to install the browser plugin. We’d love to get to 1,500 citizen scientists before the end of 2021.

For more background, I spoke to QUT’s Real World News earlier this year to explain the approach we’ve taken in developing this project:

Different Perceptions of Algorithmic Recommender Systems

For the final (wow) session of AoIR 2019 I’m in a session on news automation, which starts with Marijn Martens. He begins by describing algorithms (for instance, news recommender algorithms) as a form of culture, as well as as a form of technical construct – and by highlighting as well how algorithms are being imagined, perceived, and experienced through the mental models that users construct for them.

Building Chatbots to Support University Students

The next speaker in this AoIR 2019 session is Indra Mckie, who shifts our focus to chatbots – which to date have often been found to be somewhat disappointing in their performance. One type of such chatbot are the dialogue systems that are used to complete bookings or make purchases, and speed up customer interaction; another are chat(ter)bots like the famous Eliza that are set to mimic unstructured human conversations.

Towards Social Journalism: Rediscovering the Conversation

The very final session at IAMCR 2019 features a keynote by Jeff Jarvis, who begins by describing him self as ‘not as real academic, but just a journalism professor’. His interest here is in looking past mass media, past media, indeed past text, past stories, and past explanations.

The Introduction of Robotic Journalism at the Danish News Agency Ritzau

The next speaker in this IAMCR 2019 is Marie Falk Eriksen, whose interest is in the introduction of robotic journalism at the Danish news agency Ritzau. Such technologies are now known under a number of terms, and describe an algorithmic process that converts data into news text with limited or no human intervention. What effects this will have on journalistic practices in the longer term remains to be seen.

Blockchain as a Technological Imaginary in the Arab World

The post-lunch session on this last day of IAMCR 2019 starts with Ibrahim Subeh, whose interest is in how Blockchain technologies are being framed in the Arabic Press (specifically Lebanon, Egypt, Saudi Arabia, and the UAE).

Introducing the Idea of Communicative Sustainability

The final speaker in this IAMCR 2019 session is Irene Neverla, who introduces the concept of communicative sustainability. This may be a research perspective as well as an analytical tool for the study of mediatised societies.

New Developments in Data Ontologies

The next speaker in this IAMCR 2019 session is Andrew Iliadis, whose focus is on the role of metadata. Metadata and related terms such as ontology have rocketed to broader attention in recent years; here, philosophical concepts related to ontology have come to be translated to computationally accessible relationship constructs between data entities.

Deep Ethnographic Research with Digital Detoxers

The next speaker at the 2019 AoIR Flashpoint Symposium is Theodora Sutton, who has studied a digital detox event in the San Francisco Bay area, Camp Grounded. This takes place in nature and bans digital technology, real names, work talk, watches, and drugs and alcohol.

Towards Data Justice in a Datafied Society

The second keynote speaker in this opening evening at ECREA 2018 is Lina Dencik, whose keynote at last weekend’s iCS Symposium I covered a few days ago; here, her focus is on resistance in the datafied society. Such resistance is important in the present moment, and scholars have an increasingly important and more and more politicised role in this context.

There has been an overall, ongoing shift towards data-driven governance in recent years, leading to the emergence of a genuinely – but far from universally beneficially – datafied society. We have already seen a long history of digital surveillance, exemplified not least in the Snowden leaks, and this is represented in policy, news coverage, and general public understanding. This complicates our positioning as digital citizens and colours our understanding of the datafied society; it has revealed big data and surveillance capitalism as a form of governance, and normalised data collection and surveillance culture in our everyday lives.

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