Dewanty, Imanuella Anastasia Brigitha Carneliaputri (2025) Corpus building of verbal violence in social media: research and development / Imanuella Anastasia Brigitha Carneliaputri Dewanty</p>. Masters thesis, Universitas Negeri Malang.
Full text not available from this repository.Abstract
This study aims to develop a small-scale yet contextually rich specialist corpus of verbal violence on social media focusing on the representation of violent utterances within Indonesia s digital sphere. The project responds to the increasing prevalence of verbal violence based on gender politics and identity on social media which reflects shifting patterns of communicative practice in the digital culture. The corpus construction followed three main phases (1) data input involving the collection and selection of posts from social media platforms such as Twitter Instagram and Facebook (2) corpus development which entailed data cleaning standardisation and linguistic annotation of the selected content and (3) corpus deployment encompassing its use for research education and linguistic technology development. Data were collected between July 2024 and January 2025 and subsequently analysed using corpus linguistics methods and Critical Discourse Analysis (Fairclough) to uncover the linguistic and ideological structures underpinning verbal violence in digital environments. The resulting corpus features various linguistic annotations including Part-of-Speech (PoS) tagging categories of verbal violence (explicit implicit sarcastic and cynical) as well as social media platform typologies and characteristics. One of the key findings reveals that verbal violence on social media is not always overt rather it frequently manifests through implicit linguistic strategies such as irony euphemism or playful expressions that while seemingly benign carry connotations of insult exclusion or symbolic domination. For instance terms like anjing (dog) bangsat (scoundrel) or tai (faeces) undergo resemanticisation mdash from vulgar insults to markers of resistance or solidarity depending on the speaker rsquo s positionality within discourse. This illustrates the highly contextual and shifting nature of meaning in violent utterances especially when embedded in discourses around politics gender or group fanaticism. Through Critical Discourse Analysis it was found that violent speech on social media contains complex power relations between users and social institutions where language operates as a tool for negotiating identity resistance or subordination. In many cases expressions of verbal violence that appear personal in nature are found to embody dominant ideologies such as patriarchy toxic nationalism or religious fanaticism which are reproduced through everyday digital language use. Power in digital discourse is not merely vertical (top-down) but also horizontal mdash between users mdash where the use of coarse language may serve as a means of asserting symbolic authority or silencing others. This underscores the notion that digital verbal violence is not simply a matter of communicative ethics but also a mechanism of power embedded in linguistic practice. Beyond its relevance for critical linguistic inquiry the corpus is also analysed for its potential use in language education particularly within the realms of critical literacy and data-driven learning (DDL) approaches. In educational contexts the corpus may serve as a reflective resource for language learners to explore the relationship between linguistic form communicative intent and underlying social structures. This opens space for a more contextualised critical and socially responsive pedagogy particularly in addressing contemporary issues such as gender-based violence identity discrimination and online hate speech. Based on the findings it is recommended that corpus development be extended on a larger scale incorporating a wider variety of media formats and discourse genres while also integrating multimodal analysis mdash such as emojis images and memes mdash which may intensify or mitigate the effects of verbal violence. Furthermore the application of Natural Language Processing (NLP) technologies should be enhanced to enable automated annotation and classification of violent speech using artificial intelligence. Through this approach the verbal violence corpus may evolve into a sustainable adaptive and socially relevant linguistic resource to support language research language education and public policymaking that is sensitive to language developments in Indonesia rsquo s digital culture.
| Item Type: | Thesis (Masters) |
|---|---|
| Divisions: | Fakultas Sastra (FS) > Departemen Sastra Indonesia (IND) > S2 Pendidikan Bahasa Indonesia |
| Depositing User: | library UM |
| Date Deposited: | 13 Aug 2025 04:29 |
| Last Modified: | 09 Sep 2025 03:00 |
| URI: | http://repository.um.ac.id/id/eprint/390823 |
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