Hate Speech in Gus Miftah Instagram Comment Section: An Ice Tea Seller Case Study

The purposes of this research are to find the hate speech found in Islamic preacher Gus Miftah’s Instagram account during the iced tea seller controversy. This study employed a descriptive qualitative approach. The data was collected manually from Instagram comments related to a viral incident involving Gus Miftah, ensuring the selection of comments that exhibited clear hostility or aggression. Using the theory for classifying hate speech developed by (Mondal et al., 2017) and the impoliteness strategies developed by (Culpeper’s, 2015), this study distinguishes six categories of hate speech: religion (41.9%), behavior (27.5%), physical (25.06%), class (4.35%), disability (1.08%), and gender (0.2%). Furthermore, bald-on-record impoliteness was the most often used strategy (45.14%), indicating users’ direct animosity. The study offers a detailed understanding of the rhetorical and ideological foundations of hate speech and contributes new insights to hate speech studies by placing the analysis within the cultural and religious context of Indonesia.

Authors

Institutions

Publication Details

Journal
Linguistik Terjemahan Sastra (LINGTERSA)
Published
2025-02-07
DOI
https://doi.org/10.32734/lingtersa.v6i1.19205
Primary Topic
Hate Speech and Cyberbullying Detection
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Hate Speech in Gus Miftah Instagram Comment Section: An Ice Tea Seller Case Study

Dian Marisha Putri, Raysa Purba, Mega Uli Arta Silitonga, Naomi Sephania br. Sirait
Linguistik Terjemahan Sastra (LINGTERSA)
Hate Speech and Cyberbullying Detection
article

Hate Speech in Gus Miftah Instagram Comment Section: An Ice Tea Seller Case Study

Dian Marisha Putri, Raysa Purba, Mega Uli Arta Silitonga, Naomi Sephania br. Sirait
article en

Abstract

The purposes of this research are to find the hate speech found in Islamic preacher Gus Miftah’s Instagram account during the iced tea seller controversy. This study employed a descriptive qualitative approach. The data was collected manually from Instagram comments related to a viral incident involving Gus Miftah, ensuring the selection of comments that exhibited clear hostility or aggression. Using the theory for classifying hate speech developed by (Mondal et al., 2017) and the impoliteness strategies developed by (Culpeper’s, 2015), this study distinguishes six categories of hate speech: religion (41.9%), behavior (27.5%), physical (25.06%), class (4.35%), disability (1.08%), and gender (0.2%). Furthermore, bald-on-record impoliteness was the most often used strategy (45.14%), indicating users’ direct animosity. The study offers a detailed understanding of the rhetorical and ideological foundations of hate speech and contributes new insights to hate speech studies by placing the analysis within the cultural and religious context of Indonesia.

Linguistik Terjemahan Sastra (LINGTERSA)Vol. 6(1)
Universitas Sumatera Utara (ID)
Openalex Percentile: Top 95%
Hate Speech and Cyberbullying Detection
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.