Abigail Vázquez Rosario
Graduate Student, Communication
PhD Student, Latin American and Caribbean Studies Center
rosario@umd.edu
Research Expertise
Intercultural Communication
Latinx Studies
Media Studies
Abby is a Ph.D. student in Communication additionally earning two graduate certificates, one in Digital Humanities and another in Caribbean/Latinx Studies. She is a researcher at the Black Communication and Technology Lab (BCaT) and the Diaspora Solidarities Lab Taller Entre Aguas Macrolab working on the Criadas Project. Her research interests are in Puerto Rican Studies, Caribbean/Latinx Studies, Black Digital Humanities, Media Studies and Intercultural Communication. Her current project uses Black Feminist Praxis and Black Digital Studies to explore how Bomba and Plena, two Afro-Puerto Rican genres, function as a form of Black Technological Creativity and resistance, through the form of protest, political discourse in non-political spaces, and Black Joy. Through a study of resistance practices, she aims to show how Bomba and Plena are used to preserve African Oral Traditions that have survived the Trans-Atlantic slave trade and centuries of racism and how social media allows for Digital Grioting.
Publications
Losing the API: Developing Novel Methods for Scraping Black Twitter
Co-authored piece with COMM members and alums!
Author/Lead: Andrew LoweContributor(s): Rianna Walcott, Abigail Vázquez Rosario
As digital platforms continually evolve, rapid changes to platform affordances quickly render digital tools and data collection methods obsolete. Researchers of digital culture therefore must proactively adapt to the ephemerality of data. This paper examines these challenges within the context of Twitter (X) following its 2022 acquisition by Elon Musk, and the subsequent limiting of access to the API for data collection. Using a combination of manual data-collection practices and Zeeschuimer [Peeters 2025], a browser extension that collects social media data while browsing, researchers developed a novel data collection method, and model methodological adaptability within shifting digital terrains.
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