Journal
The Realization of Expressive Speech Acts in the Comment Section on Nessie Judge’s YouTube Channel
English Education Journal · Vol. 14 No. 2 (2024) · pp. 293–304
- Published
- 2024-06-20
- Publisher
- English Education Journal
- Language
- eng
Abstract
This study aims to analyze the realization of expressive speech acts in the comment section on Nessie Judge's YouTube channel using Searle's theory. Three top conspiracy videos were the object of the research. Data were collected from three selection video comment sections, with comments identified, classified, interpreted, and verified for patterns in expressive speech. Illocutionary Force Indicating Devices (IFIDs) were applied to categorize the comments based on the performative verb of each utterance. The findings categorized the comments into different types of expressive speech acts, such as thanking, apologizing, congratulating, praising, sorrow, and blaming. The analysis revealed that expressions of praising were the most dominant, accounting for 81 utterances. These expressions served to appreciate and acknowledge the quality of the content produced. Several factors contributed to the prevalence of praise, including high video quality, simplifying complex concepts, and fulfilling viewer expectations. Expressions of apology were the least frequent, occurring only 35 times. This study can contribute to education by deepening our understanding of how emotions and attitudes are expressed through language, a crucial aspect of effective communication. This research provides concrete examples of language use in digital contexts by analyzing expressive speech acts in YouTube comment sections. This knowledge can be applied to digital literacy and online communication training, empowering students to navigate and participate in online communities more effectively.
Keywords
Collaboration network of the authors
40 authors · 89 co-authorship links · showing the 40 most connected
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- Institut Teknologi Sepuluh Nopember
- Affiliation unknown
- Different organisations
- Same organisation
- Affiliation unknown
- Thicker line = more joint articles · bigger circle = more articles
Show as table
| Co-author | Organisation | Joint articles |
|---|---|---|
| Dwi Rukmini | Affiliation unknown | 5 |
| Widya Amalia | Affiliation unknown | 4 |
| Issy Yuliasri | Affiliation unknown | 3 |
| Rudi Hartono | Affiliation unknown | 3 |
| Sri Wuli Fitriati | Affiliation unknown | 2 |
| Katharina Rustipa | Affiliation unknown | 2 |
| Fahrur Rozi | Institut Teknologi Sepuluh Nopember | 2 |
| Syifa Fellashufa Fadillah | Affiliation unknown | 2 |
| Zulfa Sakhiyya | Affiliation unknown | 2 |
| Dinda Rahmadhani Putri | Affiliation unknown | 1 |
| Zulfa Shakiyya | Affiliation unknown | 1 |
| Indah Nurhidayah | Affiliation unknown | 1 |
| mustaniroh anningrum | Affiliation unknown | 1 |
| Rahmiwati Rahmiwati | Affiliation unknown | 1 |
| Januarius Mujiiyanto | Affiliation unknown | 1 |
| Annisa Nur Atikah | Affiliation unknown | 1 |
| SRI WAHYUNI | Affiliation unknown | 1 |
| Prahda Alifa Fegasanti | Affiliation unknown | 1 |
| wilis nurlela | Affiliation unknown | 1 |
| Fahmi Musthafa | Affiliation unknown | 1 |
| Fahmi Arif Sangaji | Affiliation unknown | 1 |
| Yesi Novita Sari | Affiliation unknown | 1 |
| Henrikus Joko Yulianto | Affiliation unknown | 1 |
| Regita Widya Murti | Affiliation unknown | 1 |
| Faiz Maulida | Affiliation unknown | 1 |
| Egi Raputri | Affiliation unknown | 1 |
| Yan Mujiyanto | Affiliation unknown | 1 |
| Etri Wijayanti | Affiliation unknown | 1 |
| Luluatul Musyafa'ah | Affiliation unknown | 1 |
| Etik Khusnul Khotimah | Affiliation unknown | 1 |
| Djanuarius Mujiyanto | Affiliation unknown | 1 |
| Tomy Widiyanto | Affiliation unknown | 1 |
| Rahayu Puji Haryanti | Affiliation unknown | 1 |
| Ayu Dewi Fatimah | Affiliation unknown | 1 |
| Sadam Pamungkas | Affiliation unknown | 1 |
| Heru Priyatna | Affiliation unknown | 1 |
| umniyyatul makmuroh | Affiliation unknown | 1 |
Affiliations come from OpenAlex; journal OAI-PMH metadata carries none. Authors without an OpenAlex ID are matched by name, which can merge or split people.