Gender Stereotyping in Scientific Dissemination: Results and Reflections

The data collected in the article also shows that the interaction of users who follow women is slightly higher than that of men. Women usually have 9,2% of likeshe 0,4% dislikes and 1.1% comments; however, men have a 8,1% likes, and 0,1% dislikes and a 0,4% of comments. As noted in the analysis, the La Gata de Schrödinger channel has the highest percentage of comments and views with a 1.3%followed by Hyperactin with a 0.9% and Anthroporama with a 0.5%.

Regarding interactions, the women in their videos have a higher engagement emotional, which according to the experts demonstrates a greater commitment of his followers. On the contrary, the study points out, most of the comments received increase gender stereotypes. In fact, the research found that women received far more comments about their physical appearance than men. Thus, the 95.3% of the videos made by women received messages of this type in front of the 27% from them. Another big difference to highlight are the declarations of love present in the 88.4% of the videos uploaded by women, while only the 33.7% I had such reviews. On another level, the 71.5% Of the videos, users highlight the intellectual capacities of the disseminators, hardly appreciating statistical differences by gender. Among the words most used by Internet users in the reviews are: beautiful and synonyms, declarations of love or adjectives such as crackcharming, genius, big or smart.

Another fact to highlight is the difference in the type of comments they receive. Thus, in the case of videos hosted by women, the 69.8% had positive and negative comments. On the other hand, those presented by a man only registered responses in the 36% of the cases, although of these the 53,9% were positive, compared to 30,2% on channels run by women.

As a reflection, the experts emphasize that the results show the need for critical media education to fight against gender stereotypes also in the field of scientific dissemination. “Despite this and the large differences detected, a positive fact is that only a small percentage of the users analyzed (7,5%) refers to stereotypes when interacting”, conclude the authors of the article