Baselight

TikTok Discourse On Ukraine Invasion

6 Million User's 16K Videos, 12M Comments

@kaggle.thedevastator_tiktok_discourse_on_ukraine_invasion

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About this Dataset

TikTok Discourse On Ukraine Invasion


TikTok Discourse on Ukraine Invasion

6 Million User's 16K Videos, 12M Comments

By [source]


About this dataset

This dataset provides unprecedented insight into public opinion and discourse related to a major foreign policy event: the hypothetical invasion of Ukraine in 2022. Through this dataset, researchers have access to 16 thousand TikTok videos, spanning 6 million unique users, as well as 12 million associated comments. Explore discourse themes on the platform and investigate how opinions are shaped by political events through sentiment analysis. As further research develops, compare findings from this dataset with similar datasets from other social media platforms to better illuminate the nature of digital public opinion and its potential influence on national policies

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How to use the dataset

This dataset provides an opportunity to gain a broad understanding of how users engage with and contribute to the conversation around a major political event on the TikTok platform. Here are some tips on how you can use this dataset:

  • Analyze User Engagement: You can study user engagement by exploring the comment threads associated with each video in the dataset, examining trends for particular user types or locations, or exploring any features that could have predictive value in terms of engagement levels.

  • Compare User Participation: You can compare user participation from different countries or regions by analyzing comments and likes over time in relation to nationality. This would allow you to better understand where conversations about this particular event is most popular, and which countries/regions are more likely to have an opinion about it.

  • Explore Topics & Narratives: By taking advantage of NLP techniques such as sentiment analysis and topic modeling on comments data, you will be able to uncover common themes amongst videos with shared narratives related the event in question

By leveraging these tools, you will be able to extract meaning from this massive dataset and gain insightful information into individual users’ behavior as well as overall discourse around the invasion of Ukraine in 2022

Research Ideas

  • Cultural attitudes towards the invasion of Ukraine in 2022: This dataset can be used to determine public attitudes towards the event by analyzing both the comments and videos from users, providing an alternative means of studying cultural predispositions than traditional polls or surveys.
  • Influence of online communities on discussing issues: This dataset can be used to study how online communities influence people’s mindset and opinions on a certain topic. By analyzing how conversations change across different platforms, academics may be able to determine what makes certain communities more effective at forming consensus around issues compared to others.
  • Interpersonal dynamics among users regarding significant events: Analyzing this data can shed light into how conversations turn into heated debates between two groups of users, establishing either agreement or dissent over a particular topic matter related to the invasion in 2022 as well as identifying which individuals are influential among certain circles for sparking engagement with their ideas or statements about their views towards said event

Acknowledgements

If you use this dataset in your research, please credit the original authors.
Data Source

License

License: CC0 1.0 Universal (CC0 1.0) - Public Domain Dedication
No Copyright - You can copy, modify, distribute and perform the work, even for commercial purposes, all without asking permission. See Other Information.

Columns

File: video_ids.csv

Acknowledgements

If you use this dataset in your research, please credit the original authors.
If you use this dataset in your research, please credit .

Tables

Video Ids

@kaggle.thedevastator_tiktok_discourse_on_ukraine_invasion.video_ids
  • 302.98 KB
  • 15835 rows
  • 2 columns
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CREATE TABLE video_ids (
  "video_id" BIGINT,
  "user_unique_id" VARCHAR
);

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