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In Dr. Carman Fungs GSWS course Queer Fandoms (GSWS 319), students explore the ways in which internet fandoms shape, transform, and queer mainstream media. For their creative projects, students write fan-fiction and create fan-videos in a way that reflects on the relationship between technological affordance and sexual cultures. 

Blog posts created by Queer Fandoms students: 

Nomadic Textual Poaching & Beyoncé Stan Meme-ing

April 29, 2024

By Connor Buzza 

With my creative project, I wanted to center the interpretive and creative practices of stans: the intensely supportive fans of celebrities that often congregate in online communities like Twitter and engage in discussion with other standoms (Bermudez et al., 2020, 1-2; Malik & Haider, 2021). Like other fan communities, stans are also active producers of fan content, such as fan art or compilation videos. Yet, one of the most distinct forms of fan content within standom is the practice of meme-ing, or the creation and sharing of visual content that is actively circulated and adapted by users (Palmer & Warren, 129). As I will demonstrate through my creative project, the meme-ing practices of stans is emblematic of nomadic poaching, in that stans appropriate celebrity texts and make intertextual connections to create their own new meanings.

In positing that stans are nomadic poachers, I am extending Jenkins (1992) argument that fans engage in both textual poaching and nomadic reading practices. To begin with the former, textual poaching refers to how readers may appropriate a text to make their own interpretations and fan creations. Rather than reading to understand the authorial meaning, textual poachers read and rework texts according to their own blueprints (26). Through their appropriation of a text, fans can fulfill their own interpretations and create new meanings according to their fannish desires. Furthermore, Jenkins also describes fans as nomadic readers to demonstrate how their fan interpretations and creations can wander across multiple texts. Fans are not bound to one text or fandom but are rather constantly advancing upon another text, appropriating new materials, [and] making new meanings (36). In fact, nomadic reading provides another avenue for fans to create new meanings via the juxtapositions and connections they make between and across texts: It is the relationship between these two [or more] deliberately selected texts that creates meaning (Freund, 2018, 209). Thus, nomadic poaching refers to the ways that fans might engage in both textual poaching and nomadic reading. Fans appropriate multiple texts and make intertextual connections in their fan creations to produce new meanings.

Through my creative project, I attempt to capture and emphasize the nomadic poaching that is performed by stan meme-ing culture. My project in particular uses a popular stan meme-ing format that compiles stan Twitter memes and sets them to an artists musicmy video specifically uses Beyonc矇s song Heated. While stan meme-ing may seem frivolous or nonsensical, I argue that it is indicative of their complex nomadic poaching practices.

Most evidently, this video shows how stan communities are highly nomadic, intertextual readers by drawing on a vast array of stan memes. Stan meme-ing is not bound to one standom or celebrity, but instead, relies on a vast array of stan references to make memes. This is most evident with the use of reaction memes and GIFs within standom spaces, such as in the comment section of a popular tweet about Beyonc矇 (PopCrave, 2023). Here, an array of memes from multiple standoms might be employed by a single standom to interpret and rework celebrity texts. Similarly, my project looks at Heated through intertextual references that span multiple standomsincluding Nicki Minaj, Britney Spears, and Rihannaas opposed to only referring to Beyonc矇-centered texts. For each line of the song, I selected different stan memes that would compliment the lyric or support my stannish interpretation. In this way, my video knits together (Jenkins, 40) an intertextual network of stan memes to make interpretations about Heated. This illustrates how stan users frequently engage in nomadic poaching, as they rely on a rich, intertextual network of memes to make interpretations about celebrity texts.

Additionally, stans employ textual poaching techniques by appropriating celebrity texts and connecting them with stan memes to create new meanings. An example of this in standom would be the viral performance where Beyonc矇 supposedly points to a fan and sings She aint no diva; Beyonc矇 stans then used this meme to claim other celebrities are no diva (ShowTimeJoker1, 2023; WildxGlow, 2023). Here, Beyonc矇 stans appropriate this celebrity moment and use meme-ing to make their own interpretations and meanings about standom.

Likewise, my creative project uses stan memes to interpret the lyrics of Heated, consequently creating new meanings for the song. For instance, the specific memes I used create an interpretation of Heated as a fun dance song, but also one that does not need to be taken too seriously. An example of this would during the lyric Give me face, face, face, face, yah, where I used the popular stan meme of actress Emma Robertsthis stan meme, among several others in the video, supports my interpretation of the song as unserious and campy. While Beyonc矇s intent for Heated might have been to create a fierce anthem or message of self-love, my video appropriates this text and interprets it via stan memes to fulfill my own stannish desires. In this way, my project shows how stans might poach celebrity texts and give it new meanings through its connection to stan memes. This is also evident during the repeated lyric, That cheap spandex she looks a mess, which plays during the memes of Sam Smith and Taylor Swift. The use of these memes here interprets the lyric as a reference to these celebritiesthey look a messeven though the lyric is not explicitly directed towards anyone. The juxtapositions between the lyrics and memes reworks both to serve my stannish interpretations. Thereby, the connections that stans make between celebrity texts and memes creates new meanings through their intertextual interactions.

Conclusion

Bearing all of this in mind, I suggest that stan meme-ing is characteristic of Jenkins nomadic poaching argument. Stan meme-ing practices appropriate celebrity texts and make intertextual connections to create new meaning. My video in particular transforms Beyonc矇s song Heated by making connections to and interactions with a range of stan memes. In doing so, I illustrate how stans rely on similar methods of interpretation and creation as other fan communities, even if their meme-ing practices may seem insignificant in comparison.

Student Biography

Connor Buzza is a fourth-year political science major with an interest in the politics of gender and sexuality. This work was originally created for GSWS 319: Queer Fandoms, a course taught by Dr. Carman Fung. As a dedicated and self-declared stan, Connor enjoyed this opportunity to further explore their interests through an academic lens.

References

Bermudez, R., Cham, K., Galido, L., Tagacay, K., & Clamor, W.L. (2020). The Filipino Stan Phenomenon and Henry Jenkins Participatory Culture: The Case of Generations X and Z. Asia Pacific Journal of Education, Volume 7, No. 3.

Beyonc矇. (2022). Heated [Song]. On Renaissance. Parkwood Entertainment & Columbia Records.

Freund, K. (2018). Becoming a Part of the Storytelling. In Booth, P., A Companion to Media Fandom and Fan Studies, 207223. John Wiley & Sons, Inc. .

Jenkins, H. (1992). Textual Poachers. Routledge. .

Malik, Z., & Haidar, S. (2021). English language learning and social media: Schematic learning on Kpop Stan Twitter. E-Learning and Digital Media, 18(4), 361382. .

Palmer, D. & Warren, K. (2020). Scarlett Johansson Falling Down: Memes, Photography and Celebrity Personas. In Loreck, J., Monaghan, W., & Stevens, K., Screening Scarlett Johansson (pp. 121144), Palgrave Macmillan. .

PopCrave [@PopCrave]. (2023). Beyonc矇 earns the highest-grossing concerts by a female artist in HISTORY, with over $16.5 MILLION each night at MetLife [Tweet]. Twitter. .

ShowTimeJoker1 [@ShowTimeJoker1]. (2023). SHE AIN'T NO DIVA! [Tweet]. Twitter. .

WildxGlow [@WildxGlow]. (2023). Beyonce didn't have to do Nicki like that. "She Aint No Diva" [Tweet]. Twitter. .