11th Feb 2023

I took part in the online-workshop: Images in Social Media Research1. It was structured through brief 15-20 minute-long inputs by various researchers. The topic hovered around digital methodologies derived from content and cultural analysis.

Being new-ish to digital visual studies, I was mainly interested in the practical approaches, the methods and methodologies, as well as the tools in use. The first panel as well as partially the second panel were truly giving in that regard. Starting with Lev Manovich’s input, the workshop drifted into areas I couldn’t directly relate to and as such had a difficult time following at times.


Some of the fantastic tools and initiatives presented:

Methods and methodologies

I was particularly taken by an input by Sabine Niederer. She demonstrated her/their approach through a few projects of the Visual Methodologies Collective:

Another interesting input, although a bit fuzzy and not reflected in parts, was by Elena Pilipets. She worked on analysing #deeptook. Besides being an organizational unit, a hashtag, #deeptok is also a sub-community on TikTok, boasting itself through being especially edgy. Through the presentation, she indicated problems and weaknesses that different computational approaches have, such as using Google Video AI. She also presented an approach how to research networked images, the corner-points being accessible in her presentation slides2, which I preserved here on archive.org.


What did I learn? Well, networked images are a thing. The constitution of visual material today is way more fluid than say, 10 years ago.

I got massively inspired to experiment with some of the tools presented. I could imagine, for example, to scrape social media for contemporary visual material on the games we’re researching. As a quick test, I found a bunch of videos on YouTube on the topic of [[Ball Raider]], grabbed their metadata and visualized their accompanied keywords in Gephi.


Looks pretty, doesn’t answer any questions. It would be interesting to use the metadata and work through the videos with Memespector to see in what kind of contexts the videos are shown.

A point that came up over and over again, was the interconnection between social media image research and platform research. Those two are inextricably linked. All social media today is corporate media, and they decide the access researchers can have. They decide, what data goes out. As such, understand the affordances of the platform you are targeting is paramount. Studying the content of a platform is also studying the platform.

I didn’t follow the ethics part too closely, but I guess this guide to internet research ethics is an important read.