New
(2025) AI Processed Human Approved
Cyberbullying and the Mental Health Burden on Young Women in STEM Fields in the U.S.
This study examines the prevalence, styles, and sentiment of cyberbullying directed at young women pursuing STEM careers on TikTok in the United States. Combining qualitative content analysis with computational text mining, the author analyzed 33,615 comments across 50 TikTok videos produced by female STEM creators.
Problem
Women in STEM fields face persistent gender bias and systemic barriers, which are further aggravated by online targeted harassment and cyberbullying. Despite TikTok's growing role in professional networking and youth social interaction, there is limited understanding of how gender-based harassment specifically manifests on the platform.
Outcome
- Non-cyberbullying comments occurred significantly more frequently than cyberbullying comments on videos created by women in STEM.
- Gendered slurs (34.10%), sexualization (29.64%), and mansplaining (29.04%) were the most predominant cyberbullying tactics, occurring at rates significantly higher than expected.
- Overt harassment tactics like belittlement (2.79%), invalidation (2.06%), discrediting (1.88%), and gatekeeping (0.49%) occurred significantly less frequently than expected.
- Sentiment analysis indicated that neutral responses dominated user interactions, followed by positive expressions, with negative sentiment being the least frequent.
- Gendered slurs (34.10%), sexualization (29.64%), and mansplaining (29.04%) were the most predominant cyberbullying tactics, occurring at rates significantly higher than expected.
- Overt harassment tactics like belittlement (2.79%), invalidation (2.06%), discrediting (1.88%), and gatekeeping (0.49%) occurred significantly less frequently than expected.
- Sentiment analysis indicated that neutral responses dominated user interactions, followed by positive expressions, with negative sentiment being the least frequent.
What it means for you
- CIO / IT Executive: On Monday morning, initiate a review of your organization's current internal communication policies and harassment reporting mechanisms, specifically checking if they adequately address online platforms like TikTok and include provisions for gendered slurs, sexualization, and mansplaining experienced by employees.
- IT Manager: On Monday morning, schedule a brief team meeting to discuss the importance of fostering inclusive online professional spaces, and task a team member with researching readily available, simple tools or platform settings (e.g., comment filtering on social media) that could be shared with employees to manage online harassment.
- Business Strategist: On Monday morning, begin drafting talking points for leadership on the company's commitment to supporting women in STEM, specifically acknowledging the unique online challenges they may face and outlining how the company can offer resources or support in managing professional online presence.
- Researcher: On Monday morning, begin outlining a follow-up research proposal focusing on the impact of cyberbullying tactics like gendered slurs, sexualization, and mansplaining on the career progression and retention of young women in STEM within corporate environments, beyond just social media platforms.
- Policymaker: On Monday morning, draft a memo to relevant legislative committees highlighting the findings on gendered cyberbullying in STEM on platforms like TikTok and proposing the exploration of policy initiatives that could encourage tech companies to implement more robust content moderation tools specifically targeting sexualization and gendered slurs.
Transcript
Host: Welcome to A.I.S. Insights — powered by Living Knowledge. I'm your host, Anna Ivy Summers. Today, we're diving into a crucial topic that sits right at the intersection of technology, workplace culture, and youth mental health. We're discussing a study titled "Cyberbullying and the Mental Health Burden on Young Women in STEM Fields in the U.S." Joining me to unpack the data is our analyst, Alex Ian Sutherland. Alex, welcome to the show.
Expert: Thanks, Anna. It's great to be here. This study provides some really eye-opening, data-driven insights into how gender-based harassment shows up on modern social platforms like TikTok, and what that means for the future of our technology workforce.
Host: Let's start with the big picture, Alex. We know women remain underrepresented in STEM fields, holding only about 26 percent of STEM positions in the United States. But what specific problem does this study address regarding social media?
Expert: While much of the literature looks at physical workplaces or classrooms, young women pursuing STEM are increasingly using platforms like TikTok for professional networking, identity formation, and educational content. However, online environments can create a "chilly climate." Targeted harassment and cyberbullying lead to anxiety, psychological distress, and social withdrawal. Until this study, we had very limited data on the precise scale and styles of harassment young women face when sharing STEM content on these platforms.
Host: That sounds like a major gap in understanding. How did the author measure and analyze this environment?
Expert: The researcher used a mixed-methods text mining approach. They gathered over 33,000 public comments across 50 TikTok videos created by young women in STEM—ranging from high school students to graduate researchers and early-career professionals in the U.S. First, they performed qualitative content analysis on 1,500 comments to build a grounded codebook. Then, using R software, they applied rule-based keyword matching across the full dataset of 33,615 comments, alongside sentiment analysis and topic modeling.
Host: That is a substantial dataset. What were the key findings when analyzing all those audience interactions?
Expert: First, the study found that non-cyberbullying comments actually dominated the interaction space—making up over 82 percent of all responses. Overall sentiment was predominantly neutral or positive, showing that general audiences often engage with non-judgmental or supportive reactions.
Host: That sounds encouraging at first glance. But what did the data show when cyberbullying *did* occur?
Expert: That's where the findings become very distinct. Cyberbullying accounted for 17.6 percent of total comments, but it was heavily concentrated in specific tactics. Gendered slurs were the most frequent at 34.1 percent of all harassment comments, followed closely by sexualization at 29.6 percent, and mansplaining at 29 percent.
Host: That means those three specific behaviors accounted for over 90 percent of the harassment! What about traditional overt bullying like discrediting someone's abilities or telling them they don't belong?
Expert: Surprisingly, traditional tactics occurred significantly less than expected. Gatekeeping was under one percent, discrediting was under two percent, and direct belittlement was less than three percent. The study suggests that platform moderation and algorithm dynamics help filter or discourage overt attacks, but harmful interactions pivot toward gendered insults, objectification, and patronizing explanations that try to undermine expertise.
Host: That is a fascinating shift in online dynamics. So, why does this matter so much for business leaders, tech executives, and policymakers?
Expert: The business implications are massive. The U.S. economy faces a severe STEM talent shortage, with millions of critical tech jobs projected to go unfilled. Studies cited in the research indicate that closing the gender gap in STEM could boost GDP significantly and unlock nearly 300 billion dollars in cumulative earnings for women over the next decade. When young women experience harassment while trying to build their professional identity online, it damages the talent pipeline before these individuals even enter the workforce full-time.
Host: Beyond workforce planning, what about social media platform management and content moderation policy?
Expert: This study provides actionable intelligence for tech companies. Automated cyberbullying detection systems often look for standard toxic keywords. However, this data shows that moderation algorithms need to be specifically trained to catch gendered slurs, sexualizing language on educational posts, and condescending mansplaining. It also gives policy alignment for legislation like the Kids Online Safety Act and Federal Trade Commission initiatives aimed at enforcing duty-of-care standards on social networks.
Host: Protecting the digital spaces where future scientists and engineers showcase their work is clearly essential for economic growth and innovation. Alex, thank you for breaking down this important study.
Expert: It was my pleasure, Anna.
Host: And thank you to our listeners for tuning in to A.I.S. Insights — powered by Living Knowledge. Until next time, stay informed and keep learning.
Expert: Thanks, Anna. It's great to be here. This study provides some really eye-opening, data-driven insights into how gender-based harassment shows up on modern social platforms like TikTok, and what that means for the future of our technology workforce.
Host: Let's start with the big picture, Alex. We know women remain underrepresented in STEM fields, holding only about 26 percent of STEM positions in the United States. But what specific problem does this study address regarding social media?
Expert: While much of the literature looks at physical workplaces or classrooms, young women pursuing STEM are increasingly using platforms like TikTok for professional networking, identity formation, and educational content. However, online environments can create a "chilly climate." Targeted harassment and cyberbullying lead to anxiety, psychological distress, and social withdrawal. Until this study, we had very limited data on the precise scale and styles of harassment young women face when sharing STEM content on these platforms.
Host: That sounds like a major gap in understanding. How did the author measure and analyze this environment?
Expert: The researcher used a mixed-methods text mining approach. They gathered over 33,000 public comments across 50 TikTok videos created by young women in STEM—ranging from high school students to graduate researchers and early-career professionals in the U.S. First, they performed qualitative content analysis on 1,500 comments to build a grounded codebook. Then, using R software, they applied rule-based keyword matching across the full dataset of 33,615 comments, alongside sentiment analysis and topic modeling.
Host: That is a substantial dataset. What were the key findings when analyzing all those audience interactions?
Expert: First, the study found that non-cyberbullying comments actually dominated the interaction space—making up over 82 percent of all responses. Overall sentiment was predominantly neutral or positive, showing that general audiences often engage with non-judgmental or supportive reactions.
Host: That sounds encouraging at first glance. But what did the data show when cyberbullying *did* occur?
Expert: That's where the findings become very distinct. Cyberbullying accounted for 17.6 percent of total comments, but it was heavily concentrated in specific tactics. Gendered slurs were the most frequent at 34.1 percent of all harassment comments, followed closely by sexualization at 29.6 percent, and mansplaining at 29 percent.
Host: That means those three specific behaviors accounted for over 90 percent of the harassment! What about traditional overt bullying like discrediting someone's abilities or telling them they don't belong?
Expert: Surprisingly, traditional tactics occurred significantly less than expected. Gatekeeping was under one percent, discrediting was under two percent, and direct belittlement was less than three percent. The study suggests that platform moderation and algorithm dynamics help filter or discourage overt attacks, but harmful interactions pivot toward gendered insults, objectification, and patronizing explanations that try to undermine expertise.
Host: That is a fascinating shift in online dynamics. So, why does this matter so much for business leaders, tech executives, and policymakers?
Expert: The business implications are massive. The U.S. economy faces a severe STEM talent shortage, with millions of critical tech jobs projected to go unfilled. Studies cited in the research indicate that closing the gender gap in STEM could boost GDP significantly and unlock nearly 300 billion dollars in cumulative earnings for women over the next decade. When young women experience harassment while trying to build their professional identity online, it damages the talent pipeline before these individuals even enter the workforce full-time.
Host: Beyond workforce planning, what about social media platform management and content moderation policy?
Expert: This study provides actionable intelligence for tech companies. Automated cyberbullying detection systems often look for standard toxic keywords. However, this data shows that moderation algorithms need to be specifically trained to catch gendered slurs, sexualizing language on educational posts, and condescending mansplaining. It also gives policy alignment for legislation like the Kids Online Safety Act and Federal Trade Commission initiatives aimed at enforcing duty-of-care standards on social networks.
Host: Protecting the digital spaces where future scientists and engineers showcase their work is clearly essential for economic growth and innovation. Alex, thank you for breaking down this important study.
Expert: It was my pleasure, Anna.
Host: And thank you to our listeners for tuning in to A.I.S. Insights — powered by Living Knowledge. Until next time, stay informed and keep learning.