Exploring Users’ Experiences of the Auto-Base Feature On @englishfess_: Challenges and Opportunities In Enhancing Vocabulary Acquisition

Abstract

Vocabulary is essential for English language proficiency, supporting skills like speaking, writing, listening, and reading. With the rise of technology, platforms like X Application (formerly Twitter) have become valuable tools for vocabulary learning through social interactions. Among these, the @englishfess_ auto-base provides a space for anonymous discussions on English learning topics. While X Application’s role in language learning has been studied, little research focuses on users’ experiences with @englishfess_ specifically for vocabulary enrichment. This study uses a descriptive qualitative approach to explore the experiences of @englishfess_ users in enhancing their vocabulary. Data were collected through semi-structured interviews with purposively selected participants and analyzed using thematic analysis. The findings highlight four key themes: (1) user engagement and satisfaction, (2) vocabulary acquisition processes, (3) community interaction, and (4) technical challenges encountered on the platform. Participants found the platform effective for learning vocabulary, appreciating features like the menfess (mention and confess) function while acknowledging limitations such as restricted access and reduced interactions due to platform changes. The findings highlight the potential of @englishfess_ as a supplementary tool for vocabulary learning and offer insights for improving its features to better support language acquisition.