Before Memmo my notes were scattered across PDFs. Now a workspace pulls everything into one place — I see exactly what's still left to study.
A revealing look at the pleasure we get from hating figures like politicians, celebrities, and TV characters, showcased in approaches that explore snark, hate-watching, and trolling
The work of a fan takes many forms: following a favorite celebrity on Instagram, writing steamy fan fiction fantasies, attending meet-and-greets, and creating fan art as homages to adored characters. While fandom that manifests as feelings of like and love are commonly understood, examined less frequently are the equally intense, but opposite feelings of dislike and hatred.
Disinterest. Disgust. Hate. This is anti-fandom. It is visible in many of the same spaces where you see fandom: in the long lines at ComicCon, in our politics, and in numerous online forums like Twitter, Tumblr, Reddit, and the ever dreaded comments section. This is where fans and fandoms debate and discipline. This is where we love to hate. Anti-Fandom,a collection of 15 original and innovative essays, provides a framework for future study through theoretical and methodological exemplars that examine anti-fandom in the contemporary digital environment through gender, generation, sexuality, race, taste, authenticity, nationality, celebrity, and more. From hatewatching Girls and Here Comes Honey Boo Boo to trolling celebrities and their characters on Twitter, these chapters ground the emerging area of anti-fan studies with a productive foundation. The book demonstrates the importance of constructing a complex knowledge of emotion and media in fan studies. Its focus on the pleasures, performances, and practices that constitute anti-fandom will generate new perspectives for understanding the impact of hate on our identities, relationships, and communities.
Before Memmo my notes were scattered across PDFs. Now a workspace pulls everything into one place — I see exactly what's still left to study.
Memmo's summaries are gold before exams. I don't have to re-read 800 pages two weeks before — just the important parts.
The AI chat has saved me the night before an exam more than once. I just keep asking until I get it — no waiting on a study group to reply.
The quizzes hit exactly what I need to know. Memmo tracks what I get stuck on — so I only practice what's worth it.
Flashcards with spaced repetition are magic. Memmo knows when I'm about to forget something and brings it back.
The AI podcasts are my favorite. I listen on my way to school and get a recap without sitting at a computer.
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