I’m chairing the next AoIR 2022 session, which starts with Márton Bene and a focus on populist political communication, which is highly people-centred, anti-elitist, and targetting dangerous ‘others’. Social media have become a key space for such populist communication, and populist elements are often strategically combined with other content elements, and conditioned by actors’ political positions and goals. This project explores this for the 2019 European Parliamentary election, which may be a particularly easy target for anti-elitist populist communication, and less so for people-centred communication.

The question here is how this plays out at the page and post level on …

The final paper in this AoIR 2022 session is presented by my colleague Dan Angus, who shifts our focus to patterns of advertising in the 2022 Australian federal election. The slides are below, too. There are a number of tools for the analysis of online political advertising that have started to emerge in recent times, exploring for instance ad spending, audience targetting, and political messaging. But we need more data from the platforms and develop further tools to do this kind of work at scale and discover dodgy activities. This is also critical for journalists, and academic collaborations with journalists …

Our papers on the Australian election in this AoIR 2022 session start with my presentation on the patterns of social media engagement during the election. Here are the slides:

The next speaker in our AoIR 2022 session on elections is Fabio Giglietto, and focusses on political advertising and coordinated behaviour in the lead-up to the 2021 German election. Sponsored by the Media Agency of North-Rhine-Westphalia, it was interested in micro-targetting of ads on social media as well as coordinated behaviour, and proceeded by identifying the social media accounts of a large number of candidates in the German election. It also worked with a list of relevant political terms compiled by GESIS.

This enabled the project to gather relevant content from Facebook, Facebook ads, Twitter, Instagram, and the researchers then …