Journal
Impoliteness Strategies in Online Political Discourse: A Case Study of Indonesian Netizens' Comments on Tiktok
English Education Journal · Vol. 14 No. 3 (2024) · pp. 428–439
- Published
- 2024-09-15
- Publisher
- English Education Journal
- Language
- eng
Abstract
This study analyzes impoliteness strategies in online political discourse, specifically focusing on the comments made by Indonesian netizens on TikTok regarding the presidential and vice-presidential candidate pairs. This research employed a qualitative descriptive approach to portray the phenomenon of impoliteness in the digital realm, especially in political interactions within the context of Indonesia’s presidential election. The study applied Culpeper’s (1996) theory of impoliteness strategies, and the data were collected from the Indonesian presidential election, specifically from TikTok accounts. Comments were gathered from the Anies-Muhaimin, Prabowo-Gibran, and Ganjar-Mahfud pairs. The data used in this study consisted of 60 instances of dark humor found across three TikTok accounts of presidential and vice-presidential candidates, which were then analyzed according to five categories of impoliteness strategies: bald on record impoliteness, positive impoliteness, negative impoliteness, sarcasm or mock, and withhold impoliteness. The results show that dark humor is most commonly conveyed through sarcasm or mock (35%), followed by positive impoliteness (28.3%), negative impoliteness (20%), bald on record impoliteness (16.7%), and no instances of withhold impoliteness. Thus, the findings contribute to understanding how impoliteness strategies are used by netizens to express political criticism or opinions online and their impact on political discourse in Indonesia. By understanding impoliteness, we will better appreciate politeness on social media and in person.
Keywords
Collaboration network of the authors
40 authors · 97 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
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| Co-author | Organisation | Joint articles |
|---|---|---|
| Widya Amalia | Affiliation unknown | 4 |
| Issy Yuliasri | Affiliation unknown | 3 |
| Dwi Rukmini | Affiliation unknown | 3 |
| Sri Wuli Fitriati | Affiliation unknown | 3 |
| Katharina Rustipa | Affiliation unknown | 3 |
| Frimadhona Syafri | Affiliation unknown | 2 |
| Rudi Hartono | Affiliation unknown | 2 |
| Fahrur Rozi | Institut Teknologi Sepuluh Nopember | 2 |
| SRI WAHYUNI | Affiliation unknown | 2 |
| Zulfa Sakhiyya | Affiliation unknown | 2 |
| Maria Johana Ari Widayanti | Affiliation unknown | 2 |
| Stillman Miliam Asan | Affiliation unknown | 1 |
| Angga Pratama Armadi Putra | Affiliation unknown | 1 |
| Indah Nurhidayah | Affiliation unknown | 1 |
| Rahmiwati Rahmiwati | Affiliation unknown | 1 |
| Januarius Mujiiyanto | Affiliation unknown | 1 |
| Annisa Nur Atikah | Affiliation unknown | 1 |
| Prahda Alifa Fegasanti | Affiliation unknown | 1 |
| Fahmi Musthafa | Affiliation unknown | 1 |
| Rahayu Puji Haryanti | Affiliation unknown | 1 |
| Ilham Bagas Abdurrazzaq | Affiliation unknown | 1 |
| Urfatul Makhsunah | Affiliation unknown | 1 |
| Fahmi Arif Sangaji | Affiliation unknown | 1 |
| Yesi Novita Sari | Affiliation unknown | 1 |
| Neiva Cahya | Affiliation unknown | 1 |
| Syifa Fellashufa Fadillah | Affiliation unknown | 1 |
| Ilma Amalina | 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 |
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.