The final speaker in this AoIR 2019 session is QUT DMRC PhD graduate Dr. Jing Zeng, whose focus is on the automated dissemination of conspiracy theories on Twitter – including suggestions that celebrities like Justin Bieber, industry leaders like Mark Zuckerberg, and royals are actually shape-shifting lizards; that planes spread mind-controlling chemtrails; that the Earth is flat; or that the California wildfires were started by a new energy weapon created by the U.S. government.
Such conspiracy theorists are experts at providing apparently simple explanations for complex phenomena. They also clusters together to support each other’s explanations with self-reinforcing theories that …
The final day at AoIR 2019 begins for me with a panel on social media bots, and the first speakers are Felix Münch and Ben Thies who present a paper that I have also contributed to; the slides are below. Social bots have become quite prominent in media coverage of social media in recent times, with particular focus on platforms like Twitter, but it is difficult to assess just how prevalent they are on such platforms, partly also because it is difficult to get a sense of the make-up of larger social media populations.
Filter bubbles and echo chambers have become very widely accepted concepts – so much so that even Barack Obama referenced the filter bubble idea in is farewell speech as President. They’re now frequently used to claim that our current media environments – and in particular social media platforms such as Facebook or Twitter – have affected public debate and led to the rise of hyperpartisan propagandists on the extreme fringes of politics, by enabling people to filter out anything that doesn’t agree with their ideological position.
Well, it’s mid-year and I’m back from a series of conferences in Europe and elsewhere, so this seems like a good time to take stock and round up some recent publications that may have slipped through the net.
The next paper in this 2019 AoIR Flashpoint Symposium session is presented by Felix Münch and Ben Thies, and Cornelius Puschmann and I have also made a small contribution to it. Our project adapted an experimental algorithm to sample a language-based Twitter follower network, and this was necessary because gathering Twitter follower networks at scale has become increasingly difficult.
Information on such follower networks would open up significant new avenues for investigation that cannot be answered by examining actual interactions (via @mentions and retweets) alone. We did some such work in the QUT Digital Media Research Centre by mapping follower …
Filter bubbles and echo chambers have become very widely accepted concepts – so much so that even Barack Obama referenced the filter bubble idea in is farewell speech as President. They’re now frequently used to claim that our current media environments – and in particular social media platforms such as Facebook or Twitter – have affected public debate and led to the rise of hyperpartisan propagandists on the extreme fringes of politics, by enabling people to filter out anything that doesn’t agree with their ideological position.
But let’s begin with a reminder that my book 
