Expressive Speech Acts Analysis of “Sonic the Hedgehog 2” Movie
Bibliographic Data
| ID | 22113741 |
|---|---|
| Authors | Joseph Anderson Gulo (University of HKBP Nommensen), Arsen Nahum Pasaribu (0000-0002-7216-4966, University of HKBP Nommensen) |
| Year | 2023 |
| Volume | 11 |
| Issue | 1 |
| Pages | 365-376 |
| Publication date | 2023-07-09 |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | IDEAS Journal on English Language Teaching and Learning Linguistics and Literature (JOURNAL) |
| Journal identifiers | ISSN: 2338-4778 • E-ISSN: 2548-4192 |
| Publisher | Institut Agama Islam Negeri (IAIN) Palopo (PUBLISHER) |
| DOI | 10.24256/ideas.v11i1.3694 |
| OpenAlex | W4387983268 |
| Language | EN |
| Citations received | 1 |
| References cited | 1 |
This study aims to find expressive speech acts and the meaning presented based on its categories is in accordance with the actual context in Sonic The Hedgehog 2 movie script. This research was designed using descriptive qualitative method. In this research, the researcher used himself (human instrument) as a research instrument, because of the position of the researcher as a planner, implementer of data collection, implementer of data analysis, interpretation, and becomes a reporter for the findings. By using Searle’s theory (illocutionary act), the research results showed that of 963 utterances uttered by all actors in the Sonic The Hedgehog 2 movie, the researcher took 10 samples representing all utterances that included in the expressive speech acts with data divided into 7 types of speech acts according to Searle (illocutionary act) in Leech (1983), with the distribution of data as follows: reproach consists of 2 data (20%); liking of 1 data (10%); disliking of 2 data (20%); blaming of 1 data (10%); greeting of 2 data (20%); congratulating of 1 data (10%); and welcoming as many as 1 data (10%)
Linguistics · Speech act · Communication · Computer Science · English Language Learning and Teaching · History · Language Acquisition and Education · Linguistics and Language Analysis · Philosophy · Psychology · Artificial Intelligence
| Citations per year | 0.5 |
|---|---|
| Citation span | 2024 - 2024 (1) |
| Highly cited | No |