top of page



Gender disinformation is a type of misogynistic violence against women that uses false or misleading narratives based on sex and gender to prevent women from participating in the public sphere, silencing their voices and neutralizing their initiatives.  Often, these gender disinformation narratives are coordinated in order to undermine advances in the debate on gender equality, sexual and reproductive rights, as well as the rights of women and LGBTQIA+ comunities. The aim of this line of research is to investigate the phenomenon of gender misinformation on social media to obtain a systemic and multiplatform view of narrative disputes, manipulation strategies and hate speech against women.


The analysis of the online debate reveals misogynistic, racist and homophobic attacks, name-calling and other offenses against women, especially those inserted in the political environment. Another relevant issue is women's sexual and reproductive rights, as there is a specific disinformation campaign coordinated  on the subject. Such narratives often appeal to moral panic and contribute to violations  of rights and political backlash in combating gender oppression. 


Gender disinformation campaigns are mobilized internationally by conservatives and are often adapted for the Brazilian context. Studies in this line of research point to a worsening of political polarization on gender issues: on the one hand, ultra-conservative groups gains strength in social media, on the other, the feminist field seeks to renew communication strategies to influence public opinion in favor of of women's dignity.



Disinformation and abortion: dispute of narratives on sexual and reproductive rights

With the intensification of the online debate on the regulation of abortion, this project seeks to identify the main disseminators of misinformation, the most active narratives and profiles against sexual and reproductive rights, and the counter-narratives in defense of women's rights.

Online hate speech: development and application of an algorithm to identify attacks against women parliamentarians

The project analyzes the spread of hate speech against women parliamentarians with different ideological positions. Content analysis based on supervised machine learning reveals misogynistic, racist, generic name-calling, and other slurs against women in politics.

bottom of page