1. Introduction
The internet has broken down many of the technical and economic barriers that once hindered science communication (
Peters et al., 2014), making it easier for the research community to engage in outreach. Whether professionals or casual users, more and more people are turning to these platforms to create and share content. These tools have enabled them to communicate their research quickly and efficiently across the globe, playing a crucial role in the dissemination of scientific information among professionals in the field and also the general public (
Coletti et al., 2022). Increasingly, people are turning to the internet as their primary source of scientific information (
Dunwoody, 2014), offering an alternative for those interested in science but skeptical of traditional media outlets (
Metag, 2020). As a result, science communication has become an essential pathway for acquiring scientific knowledge and literacy. According to the report Trust in science and scientific populism in Spain (
FECYT, 2024), 71.3% of respondents reported using the internet to stay informed about science, with online videos surpassing social media as the preferred channel. Notably, the use of social media and video platforms is particularly prominent among young people.
In this context, social media holds immense potential for science communication, thanks to its popularity and the wide range of formats it offers to content creators. Through audiovisual content, the scientific community can showcase, explain, and illustrate information using various techniques and codes (
Zeng & Kaye, 2022). Theoretically, social media platforms can also enhance the visibility of female scientists and researchers by helping them overcome the obstacles they have traditionally faced when trying to access mainstream media as expert sources (
Mena-Young, 2018;
Eizmendi-Iraola & Peña-Fernández, 2023b). However, various studies indicate that women are less engaged as producers of science communication content, both within academic networks (
Raffaghelli & Manca, 2023) and on platforms (
Welbourne & Grant, 2016), resulting in lower participation and visibility in scientific discourse (
Cambronero-Saiz et al., 2021).
This research aims to analyse the interaction between science communicators on social media platforms and the comments they receive, viewed through a gender perspective. To achieve this, the study focuses on leading YouTube and TikTok accounts. YouTube was selected as it is one of the three main platforms for content dissemination and the most commonly used for accessing information about science and research (
Metag, 2020). TikTok, on the other hand, has been the most downloaded platform since 2020 (
Cheng & Li, 2024). Its younger user base makes it an ideal tool for challenging stereotypes and reshaping perceptions of female scientists through increased visibility.
Based on this approach, this research addressed the following research questions:
RQ1. How do audiences respond to the content produced by leading science communicators on YouTube and TikTok?
RQ2. What gender-based differences can be observed in the interaction received by leading science communicators on YouTube and TikTok?
RQ3. What is the gender distribution of individuals interacting with the content published by prominent science communicators?
RQ4. Is there a correlation between the gender of the content creator and the gender of the individuals engaging with their content?
2. Literature Review
The presence of women in science communication through digital platforms has become an increasingly important topic in academic research, primarily due to the growing significance of science communication activities and the gender inequalities that still persist in this field. Regarding the causes of these differences, research suggests that women’s participation in science communication is shaped by the barriers they encounter both when entering the scientific field and throughout their career development. Women currently represent 29.3% of the global research workforce (
UNESCO, 2018), though this figure varies by country (
European Commission, 2019). Beyond these disparities, women in science often face difficulties advancing in their careers, with a higher proportion of women than men leaving academia. As a result, they encounter the so-called “glass ceiling” and suffer from what is known as the “leaky pipeline” phenomenon (
Hunt, 2016).
Regarding these obstacles, studies examining the factors behind gender inequality faced by women in the scientific field have highlighted several causes. These include the challenges of balancing academic and research work with caregiving responsibilities (
Myers et al., 2020), which are predominantly assigned to women. These circumstances were confirmed by multiple studies conducted during the COVID-19 pandemic, which concluded that the scientific output and outreach activities of female researchers with dependents were significantly affected during this period (
Krukowski et al., 2021;
Deryugina et al., 2021;
Eizmendi-Iraola & Peña-Fernández, 2023a).
However, gender inequalities also stem from structural asymmetries and prevailing androcentric values within both science and academia (
Villar-Aguilés & Obiol-Francés, 2022;
Read, 2024). In addition, enduring stereotypes persist despite the progress made by women in academic settings (
Sugimoto & Larivière, 2023). Generally, men are perceived as leaders and as more analytical, competitive, and independent, while women are more commonly associated with traits such as kindness, warmth, empathy, and helpfulness (
Carli et al., 2016). Notably, the traits traditionally linked to men are more closely aligned with how scientific work is typically perceived. In this regard, science communication itself can serve as a pathway for overcoming these obstacles by enhancing visibility and creating role models that promote gender equality.
Studies that have addressed scientific communication emphasize that, in terms of presence, women, in general, tend to be less active on social media platforms (
Procter et al., 2010;
Cambronero-Saiz et al., 2021). Furthermore, as far as scientific dissemination is concerned, their activity differs in nature, as they are less inclined to use these platforms to showcase personal achievements (
Montesi et al., 2019). The topics they address also differ, as the prevalence of women in the dissemination of social sciences content is higher than that of men, who tend to focus more on the basic sciences (
Micaletto-Belda et al., 2024). It is also worth noting that the feedback they receive from social media users is unequal; female researchers not only receive fewer responses but also face more hostile comments (
Amarasekara & Grant, 2019), and even experience increased attacks after engaging in science communication (
FECYT, 2025).
In this context, platforms with a more visual nature like TikTok and YouTube (
Steinke et al., 2024b) open up new possibilities in science communication. They make it accessible in terms of content, audience interaction, and global reach, while also enabling innovation in the presentation of materials (
Hill et al., 2022). For instance, TikTok, despite not being the ideal format for conveying scientific information with full rigor (
Muñoz-Gallego et al., 2024), offers the brevity and novelty that younger audiences demand (
De-Casas-Moreno et al., 2024). Thus, the content on TikTok and its viral trends offer an opportunity to increase the visibility of women and other minority groups (
Lee & Lee, 2023;
Civila & Jaramillo-Dent, 2022). This helps to broaden the public imagination surrounding scientific personnel and to promote scientific vocations among girls and women (
Steinke et al., 2024a), as identifying with a role model in the STEM field can lead to changes in stereotypes (
Van Camp et al., 2019). At present, the self-conceptual construction of gender is closely linked to the relationship young people have with new information technologies (
Popa & Gavriliu, 2015).
4. Results
4.3. The Gender of Comments
Given the general interaction data, it is worth examining whether there is a differential attitude between men and women when engaging with the content of YouTubers and TikTokers. Based on the users whose gender could be identified using an algorithm (36.1% of the total), the previously observed user distribution differences across both platforms extend to the commenters. On TikTok, women make up 41.6% of commenters on female TikTokers’ content and 39.6% of commenters on male TikTokers’ content. While not perfectly gender-balanced, these figures indicate a relatively even distribution of audience response across both cases (
Figure 1). In contrast, the gender gap widens significantly on YouTube. Women account for 36.2% of comments on female YouTubers’ videos, but their presence drops to just 16.3% on male YouTubers’ videos, which also tend to have the highest view counts (
Figure 2). Overall, on this platform, the greater the number of views and total comments a video receives, the lower the proportion of comments from women.
The analysis of the available data on TikTok (
Figure 3) indicated that the observed and expected values are quite similar, suggesting that the creator’s gender does not drastically influence the profile of commenters. However, the chi-square test (χ
2 = 6.08,
p = 0.014) confirmed that the association between the two variables was statistically significant, though its magnitude was extremely low, as evidenced by the Phi coefficient (0.0170) and Cramér’s V (0.0170).
Overall, comments were relatively evenly distributed between men and women, with no strong preference for interacting with creators of the same gender. While slight deviations from expected values existed—men tended to comment slightly more on videos by other men, and women on videos by other women—these differences were minimal and practically insignificant. The statistical significance suggests that some pattern may exist in comment distribution, but the effect is so weak that it is unlikely to have any substantial behavioral implications on the platform. Specifically, although the majority of comments were made by men, in three of the ten analyzed cases (two female TikTokers and one male), there were more comments from women than from men. Therefore, in the case of leading science communicators on TikTok, while the data show a slight tendency toward same-gender interaction, the difference is so small that it can be considered negligible in practical terms. This suggests that, in terms of comment participation, TikTok provides an environment where the creator’s gender is not a determining factor in audience interaction dynamics.
In the case of YouTube (
Figure 4), the observed and expected values showed more noticeable differences than on TikTok, suggesting that the creator’s gender may have had a clearer influence on the composition of the commenting audience. The chi-square test (χ
2 = 35.1,
p < 0.001) indicated that the relationship between the two variables was highly statistically significant. This means that the distribution of comments was not entirely random in relation to the creator’s gender. However, despite this statistical significance, the Phi coefficient (0.0117) and Cramér’s V (0.0117) remained extremely low, indicating that the strength of the association was very weak.
In terms of user behavior, the data suggest that male creators receive a higher proportion of comments from men, whereas female creators receive a more balanced distribution of comments, albeit with a significantly lower total number of interactions. However, the magnitude of these differences remained so small that, from a practical standpoint, the impact of this relationship is almost negligible. While the analysis revealed a statistically significant association between the creator’s gender and the commenter’s gender, the actual strength of this relationship is minimal.
In practical terms, this suggests that while there may be a slight tendency for men to comment more on videos by other men, the creator’s gender is not a decisive factor in shaping interaction dynamics within YouTube comments. On this platform, the presence of women in the comments is higher when the science communicator is a woman, provided it is a small-scale project with limited reach. In larger projects, this effect fades, with the presence of women even exceeding expectations in videos featuring male creators.
In other words, on both platforms, while there is a statistically significant relationship between the gender of science communicators and the gender of their commenters, its practical impact is limited. The observed difference was too small to be considered a key factor in shaping interaction dynamics. Therefore, although gender may slightly influence comment distribution, other contextual factors are likely to play a more substantial role in audience participation.
5. Discussion
Social media and platforms like YouTube and TikTok are key resources for increasing the reach of science communication and fostering dialogue with audiences (
Oliver et al., 2023). They provide an agile way to transfer knowledge in engaging and easily consumable formats (
Hill et al., 2022). From a gender perspective, these platforms also offer women a new opportunity to gain visibility, reducing the gap in the social perception of women in science and challenging stereotypes (
Huber & Quesada-Baena, 2023).
YouTube and TikTok offer differentiated opportunities for science communication. While YouTube offers a large follower base to reach wide audiences through a robust subscriber system, TikTok has a low entry barrier and an algorithm that allows content to reach more diverse audiences (
Zawacki et al., 2022). The different sociodemographic characteristics of their users, with a greater number of young people on TikTok, also influence how the content is consumed (
Pew Research Center, 2024).
In the case of science communication, we encounter a clear male dominance on YouTube and greater gender parity on TikTok. In particular, while male creators dominate reach and view metrics on YouTube, TikTok emerges as a more accessible platform for women, allowing for greater visibility and a more equitable distribution of the audience. This may be related to the fact that the number of female users on TikTok is higher than on other platforms, although this trend may vary across countries (
IAB, 2024;
Gutiérrez & Ramírez, 2022). Furthermore, the data reveal that interaction levels vary based on the creator’s and user’s gender. On YouTube, the female audience is significantly smaller on male-led channels, whereas on TikTok, there is no strong association between the creator’s gender and the composition of the comments.
Regarding TikTok, the analysis revealed a moderate and statistically significant association between the proportion of female commenters and the number of comments received. In any case, this may be in line with other studies suggesting that women are more likely to engage in online discussions, for instance, in relation to political issues (
Lybeck et al., 2024). In contrast, on YouTube, a higher proportion of women among commenters showed a negative correlation with the numbers of views, likes, and comments, suggesting that content attracting a higher proportion of female commenters may have a smaller reach on the platform. The greater the presence of women in the conversation on YouTube, the lower the viewership and virality of the videos. This may be related to the fact that, traditionally, male scientists have been attributed greater credibility than their female counterparts. However, recent studies have revealed the role played by perceived likability, which audiences more commonly associate with women, in shaping perceptions of competence (
Hubner & Bullock, 2024).
These findings reinforce the idea that scientific communication on social media is influenced not only by algorithmic and format-related factors (
Martín Neira et al., 2023;
Velarde-Camaqui et al., 2024), but also by gender dynamics, which affect the participation and impact of communicators in a differentiated way on both platforms. The results confirm previous findings on the gender gap in science communication on social media (
Amarasekara & Grant, 2019;
Cambronero-Saiz et al., 2021) while also providing new insights into how this gap varies depending on the platform used. While YouTube continues to reflect a traditionally male-dominated structure, TikTok emerges as a platform with less gender bias, suggesting that new digital formats could play a role in balancing the presence of women in science communication (
Huber & Quesada-Baena, 2023).
This study presents certain limitations, particularly concerning the sample size and the focus on two platforms and creators who have already achieved a significant following. For its part, the gender-guesser Python library assigns gender based on first names using a database primarily derived from Anglo-Saxon sources. It performs well with common names in Western contexts but has limitations with non-Anglo names or pseudonyms, which are common on social media. It does not identify gender identity, but rather the gender historically associated with a name.
Future research could investigate the perceptions of audiences who consume this content and assess the effects of such narratives on their attitudes. In addition, interviews and focus groups with content creators on TikTok and YouTube could offer valuable insights into their experiences, motivations, and goals.
Author Contributions
Conceptualization, M.E.-I. and S.P.-F. methodology, M.E.-I., S.P.-F. and J.M.-i.-G.; software, J.M.-i.-G.; validation, M.E.-I. and S.P.-F.; formal analysis, M.E.-I., S.P.-F. and J.M.-i.-G.; investigation, M.E.-I., S.P.-F. and J.M.-i.-G.; resources, S.P.-F.; data curation, M.E.-I., S.P.-F. and J.M.-i.-G.; writing—original draft preparation, M.E.-I. and S.P.-F.; writing—review and editing, M.E.-I. and S.P.-F.; visualization, S.P.-F. and J.M.-i.-G.; supervision, M.E.-I. and S.P.-F.; project administration, S.P.-F.; funding acquisition, S.P.-F. All authors have read and agreed to the published version of the manuscript.
Funding
This work is part of the scientific output of the Consolidated Research Group of the Basque University System, Gureiker (IT1496-22).
Institutional Review Board Statement
Ethical review and approval were waived for this study due to use of anonymized quantitative data.
Informed Consent Statement
The data collected for this research has been fully anonymised and processed in a way that ensures no risk to individuals’ privacy. No personally identifiable information (PII) has been gathered, and all data has been extracted in an aggregated form, preventing any possibility of tracing it back to specific users. Furthermore, the data sets are not cross-referenced with other sources, meaning there is no risk of re-identification through triangulation.
Data Availability Statement
Data will be made available on request to corresponding author.
Conflicts of Interest
The authors declare no conflicts of interest.
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