Language Understanding in ChatGPT: A Psycholinguistic Study of an Intelligent Machine and Its Social Implications
Pemahaman Bahasa pada ChatGPT: Studi Psikolinguistik tentang Mesin Cerdas dan Implikasi Sosialnya
DOI:
https://doi.org/10.20625/theosyn.v1i3.031Keywords:
ChatGPT, Language Understanding, Society, Digital Psycholinguistics, TechnologyAbstract
ChatGPT has transformed the way society interacts with language and information. This system is capable of generating text that closely resembles human conversation; however, it often raises questions about the extent to which it truly understands the meaning being conveyed. This study aims to describe the characteristics of ChatGPT’s responses in processing language and to examine its impact on people’s thinking and communication habits. A descriptive qualitative approach was employed, using direct conversational interactions through various types of prompts as the data collection technique. The data were analyzed through stages of reading, coding, and categorizing similar response patterns to identify linguistic structures, contextual features, and meaning tendencies within each answer. The results indicate that ChatGPT demonstrates a high level of language fluency, yet its responses remain predictive rather than conceptual. Furthermore, the study found a tendency among users to rely on the system’s outputs without engaging in critical verification.
Bahasa Indonesia
ChatGPT telah mengubah cara masyarakat berinteraksi dengan bahasa dan informasi. Sistem ini mampu menghasilkan teks yang menyerupai percakapan manusia, namun sering kali menimbulkan pertanyaan tentang sejauh mana ia benar-benar memahami makna yang disampaikan. Penelitian ini bertujuan menggambarkan karakteristik respons ChatGPT dalam memproses bahasa serta melihat dampaknya terhadap kebiasaan berpikir dan berkomunikasi masyarakat. Pendekatan yang digunakan adalah kualitatif deskriptif dengan teknik pengumpulan berupa percakapan langsung menggunakan berbagai jenis prompt. Data dianalisis dengan tahapan membaca, memberi kode, dan mengelompokkan pola respons yang serupa untuk menemukan pola linguistik, konteks, dan kecenderungan makna dalam setiap jawaban. Hasilnya menunjukkan bahwa ChatGPT memiliki kemampuan bahasa yang sangat lancar, tetapi responsnya masih bersifat prediktif, belum konseptual. Selain itu, ChatGPT berpotensi memiliki efek kecenderungan masyarakat untuk bergantung pada hasil sistem tanpa verifikasi kritis.
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