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The Meme Studies Index

We’re happy to announce that is now live. This website was built in collaboration with virtualgoodsdealer and is where our reading list is now housed.

The Meme Studies Research Network (MSRN) Index is a collaborative project that collects and presents academic literature about the use, spread and impact of internet memes. The MSRN index was modeled after the Cyberfeminism Index facilitated by Mindy Seu and LSE Digital Ethnography Collective’s reading list.

Internet memes increasingly help steer politics, culture, sociality and consumption in contemporary society. They are cheap and easy to make, disseminate and monetise. As forms of civic expression they hold symbolic and material power within global digital cultures, and can quickly spread from online platforms into seemingly offline spheres. Within the past 15 years, research around the use and impact of internet memes has flourished. However, students who are interested in studying internet memes have found it difficult to access resources about this topic as academic material about internet memes is often buried under non-academic search results online. As social media researchers and internet meme creators we wanted to build an online index of meme research in order to help further meme studies by making this existent knowledge more accessible.

Our hope is that this index can be used as a guiding source for anyone interested in learning more about the use and impact of internet memes. The MSRN Index is by no means an exhaustive list of all academic meme research, and is compiled in an exploratory manner. Often, the reason why some texts aren’t included in the index is because we just haven’t come across them yet. If you think that the index is missing a text, please email and we would be happy to add it.

The website was built by Jillian Zhong, who is a co-founder of virtualgoodsdealer.
The MSRN Index and MSRN logos were designed by Emma Damiani.
This project was devised by İdil Galip, founder of the Meme Studies Research Network, with help from Omnia Elbasheer aka @saqmemes and Jillian Zhong aka @ada.wrong members of virtualgoodsdealer, Nik Slackman from Bard Meme Lab, and members of the Meme Studies Research Network.

The project was funded by Edinburgh Futures Institute (EFI) Student Research Award scheme.

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