What does this research mean for the field?

Academic discourse surrounding TikTok has become increasingly negative and critical over time, particularly focusing on its political implications, role in shaping public opinion, and amplification of misinformation. Novelty: ClaimNovelty.SYNTHESIS. Consensus alignment: ConsensusAlignment.NEUTRAL.

What question did this study set out to answer?

To evaluate global academic discourse surrounding TikTok from 2019 to 2024, focusing on thematic trends, sentiment trajectories, and political implications.

August 22, 2026Connection ScienceOpen Access

Triangulating research discourse on tiktok: integrating bibliometrics, sentiment analysis and topic modeling

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Authors

SOSimona-Vasilica Oprea ABAdela Bârã

Discussion

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Overview

Bibliometric analysis reveals rising critical sentiment and declining positivity across 2,313 academic publications on TikTok, highlighting growing concerns over misinformation and democratic impacts.

Key Points

To evaluate global academic discourse surrounding TikTok from 2019 to 2024, focusing on thematic trends, sentiment trajectories, and political implications.
Analyzed N=2,313 TikTok-related publications indexed in the Web of Science published between 2019 and 2024.
Implemented a dual computational framework combining three sentiment analysis approaches with three topic modeling methods: LDA, BERT-LDA, and BERT-Clustering.
Academic sentiment shifted significantly over time, with positive sentiment peaking in 2019 followed by a steady decline, while critical and negative sentiment peaked in 2023 and 2024.
Political discourse comprised 24.7% of all examined literature, with topic modeling identifying key thematic clusters centered on misinformation amplification, public opinion dynamics, and democratic processes.

Cite This Study

Oprea et al. (2026) studied this question.

synapsesocial.com/papers/6a895facca7ade938187e797 https://doi.org/10.1080/09540091.2026.2717485

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August 22, 2026Connection ScienceOpen Access

Triangulating research discourse on tiktok: integrating bibliometrics, sentiment analysis and topic modeling

View Full Paper

Ask AI

Bookmark

Authors

SOSimona-Vasilica Oprea ABAdela Bârã

Discussion

Member takes

Overview

Key Points

To evaluate global academic discourse surrounding TikTok from 2019 to 2024, focusing on thematic trends, sentiment trajectories, and political implications.
Analyzed N=2,313 TikTok-related publications indexed in the Web of Science published between 2019 and 2024.
Implemented a dual computational framework combining three sentiment analysis approaches with three topic modeling methods: LDA, BERT-LDA, and BERT-Clustering.
Academic sentiment shifted significantly over time, with positive sentiment peaking in 2019 followed by a steady decline, while critical and negative sentiment peaked in 2023 and 2024.
Political discourse comprised 24.7% of all examined literature, with topic modeling identifying key thematic clusters centered on misinformation amplification, public opinion dynamics, and democratic processes.

Cite This Study

Oprea et al. (2026) studied this question.

synapsesocial.com/papers/6a895facca7ade938187e797 https://doi.org/10.1080/09540091.2026.2717485

View Full Paper

Ask AI

Bookmark