2026· International journal of research and innovation in social science· Vol 10, pp. 859-871· 0 citations
Abstract
This study examines the sentiment expressed in TikTok comments under the hashtag #SaveGaza to explore the emotional dynamics and key themes within this digital public. TikTok’s unique short-video format and predominantly young user base provide a distinctive environment for political and humanitarian discourse. Sentiment analysis, which classifies text into positive, negative, or neutral categories, was applied to a 100 sampled dataset of highly engaged comments on #SaveGaza posts. The analysis revealed that negative sentiment dominated, reflecting widespread anger, grief, and frustration related to the Gaza crisis. Positive sentiment was also significant, expressing solidarity, hope, and calls for peace, while neutral comments provided factual context and historical information. Key themes identified include activism, media criticism, personal storytelling, and human rights advocacy. These findings align with the concept of affective publics, where shared emotional expression on digital platforms fosters politically engaged communities. The study highlights the challenges of sentiment analysis on TikTok due to informal language, slang, emojis, and evolving online vernacular, suggesting the need for hybrid approaches combining automated tools with manual interpretation. Overall, this research contributes to understanding how sentiment analysis can be adapted to TikTok’s environment and underscores the platform’s role as a space for effective political engagement. The insights have practical implications for activists, policymakers, and scholars interested in digital public discourse on emerging social media platforms.
It is suggested that social media can provide an early source of feedback on large-scale educational reforms, although it should not be treated as representative public opinion.
Ahmet Başal, M. Kayakuş, Cem Oktay Guzeller et al.· Participatory Educational Re...· 0 citations
This study examines public sentiment toward the Prabowo–Gibran presidential pair in influencer-based political content on Instagram during the 2024 Indonesian Presidential Election. Existing studies on digital political communication in Indonesia generally focus on official campaign accounts or political branding, leav...
Muhammad Nawwaf Gibran, M. F. Aminuddin· Jurnal Ilmu Sosial dan Ilmu...· 0 citations
This study analyzes public sentiment in YouTube comments on felt-earthquake news in Indonesia and compares a bidirectional Long Short-Term Memory implementation (LSTM) with IndoBERT, which provided the strongest contextual classification.
Oktifar Tri Bandono, Agung Budi Susanto, Makhsun Makhsun· International Journal Of Hum...· 0 citations
This study examines public attitudes toward ChatGPT in Türkiye through sentiment analysis of Instagram user-generated content shared between 2022 and 2025 and employs sentiment classification techniques to determine whether public discourse is predominantly positive, negative, or neutral.
Cigdem Baskici, Yunus Gokmen· European Conference on Innov...· 0 citations
The rapid proliferation of social media platforms, particularly YouTube, has transformed public commentary on geopolitical events into a rich and accessible data source for sentiment analysis. This study examines public sentiment expressed in YouTube comments on BBC News coverage of the Iran–United States conflict, emp...
Charis Maulana, S. Yohandoko, Rifki Saefullah· International Journal of Mat...· 0 citations