Conference proceeding
Support in Short Form: Investigating TikTok Comments on Videos with #Harassment
Extended Abstracts of the CHI Conference on Human Factors in Computing Systems, pp 1-8
02 May 2024
Featured in Collection : UN Sustainable Development Goals @ Drexel
Abstract
Exploring the dynamics of public discourse on social media reveals critical insights into how topics like harassment are perceived, discussed, and handled within online communities. To understand these dynamics within multimodal short-form video-based communities, we conducted topic modeling on 145,515 comments of videos tagged with #harassment on TikTok. We identified nine topics, including community responses to harassment and threats, law enforcement responses to harassment, and discussions around self-defense strategies. Our findings revealed the diverse nature of online discussions about harassment, containing empathy, polarization, frustration, and humor. These various topics underscore the significant role of TikTok as a platform for shaping public opinions on critical social issues and amplifying the voices of victims. This paper contributes to understanding how public discourse on harassment unfolds in TikTok to inform future research and policy-making to ensure safer online communities. Content Warning: This paper includes sensitive topics such as harassment, reader discretion is advised.
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Details
- Title
- Support in Short Form: Investigating TikTok Comments on Videos with #Harassment
- Creators
- Atieh Armin - Drexel UniversityJoseph J Trybala - Drexel UniversityJordyn Young - Michigan UnitedAfsaneh Razi - Department of Information Science, Drexel University, United States
- Contributors
- Florian Floyd Mueller (Editor) - Monash UniversityPenny Kyburz (Editor) - Australian National UniversityJulie R. Williamson (Editor) - University of GlasgowCorina Sas (Editor) - Lancaster University
- Publication Details
- Extended Abstracts of the CHI Conference on Human Factors in Computing Systems, pp 1-8
- Conference
- CHI '24: CHI Conference on Human Factors in Computing Systems
- Series
- ACM Conferences
- Publisher
- ACM; NEW YORK
- Number of pages
- 8
- Resource Type
- Conference proceeding
- Language
- English
- Academic Unit
- Information Science; Computer Science
- Web of Science ID
- WOS:001227587702076
- Scopus ID
- 2-s2.0-85194196907
- Other Identifier
- 991021876684304721
UN Sustainable Development Goals (SDGs)
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InCites Highlights
Data related to this publication, from InCites Benchmarking & Analytics tool:
- Collaboration types
- Domestic collaboration
- Web of Science research areas
- Computer Science, Cybernetics
- Computer Science, Interdisciplinary Applications
- Computer Science, Theory & Methods