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The next speakers at IAMCR 2019 are Thomas Eckerl and Oliver Hahn, whose interest is in the role of Instagram in political communication in Germany. The adoption of such platforms for political communication is an example of growing mediatisation in society as such, and in politics in particular, as well as a sign of the continuing shift towards more participatory media forms and from top-down to bottom-up communication over the past two decades or so.

The second paper in this IAMCR 2019 session is presented by Klaus Zilles, whose focus is on the distribution of disinformation on WhatsApp. The messaging platform has been embroiled in disinformation events in a number of countries in recent times, and has now begun to fund several research projects into the phenomenon, including the present study in Spain.

We finish the sessions at the 2019 AoIR Flashpoint Symposium with our second keynote, by Rebekah Tromble. She begins provocatively by suggesting that we as digital media researchers need to get over ourselves, so this should be interesting.

Many of the current problems for digital media research stem from the Cambridge Analytica scandal, which resulted in the shutdown of many of the primary sources of social media research data – especially the Application Programming Interfaces (APIs) of leading platforms. Most applications for API access to Facebook are now denied, for instance; the Instagram platform API was scheduled for shutdown even before the Cambridge Analytica scandal broke; and even what is left of the Instagram graph API is now severely restricted. The Twitter search and streaming APIs remain comparatively open, but there are significant and increasing limitations to their functionality, too.

The final speaker in this 2019 AoIR Flashpoint Symposium session is Tetyana Lokot, who points out the value of ephemerality for citizens living in autocratic regimes. Russia is one example of this: there are significant differences in how the state and its citizens define what networked citizenship means, and ephemerality plays an important role in this context.

The next speakers at the 2019 AoIR Flashpoint Symposium are Lucia Bainotti and Alessandro Gandini, who at presenting a tentative research protocol for studying Instagram stories. Stories are a means for sharing ephemeral content rather than permanent posts on the platform, and such ephemeral content has also become more popular across a wide range of other social media platforms. This represents an overall shift from an archival to a more ephemeral culture.

The next speaker in this 2019 AoIR Flashpoint Symposium session is Esther Hammelburg, who uses ethnographic as well as digital methods to study mediatised events. For such events, this work might include online and on-the-ground observations; screenshots of Instagram stories; Instagram posts themselves, as gathered via the API when it was still available; media diaries; and interviews with participants.

The next speakers at the 2019 AoIR Flashpoint Symposium are Marco Toledo Bastos and Shawn Walker, whose interest is in the ephemerality of hyperpartisan news content. Posts, images, and videos often disappear within hours and days of posting, before they can be fact-checked and before standard archiving platforms such as national archives or the Internet Archive would capture them. Alternatively, the content of these posts may change after posting, meaning that the captured content does not reflect what users first saw.

Up next at the 2019 AoIR Flashpoint Symposium are Tiziano Bonini and Alessandro Gandini, who are interested in ethnographic research in the age of platforms, even in spite of the black boxing strategies now employed by many platforms to protect themselves from scrutiny.

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.