The announcement of the State of Alarm in Spain in March 2020 brought with it a period of great information intensity in traditional and digital media. The extraordinary nature of the measure, which provided the Government with exceptional measures to confront the Covid-19 pandemic, gave rise to a tremendously polarized scenario. In this context, some webs known for the dissemination of disinformation campaigns and, even, the promotion of ideas closes to the alt-right, were especially active in networks promoting the dissemination of ideological content with the aim of capturing traffic for subsequent monetization through advertising. This work follows the activity around of two of these webs on Twitter, Caso Aislado and Periodista Digital, with the intention of determinate their role in the political polarization. For more than two months, more than 100,000 tweets were captured, stored ...

The spread of hate speech through social media contributes to poisoning the public sphere and undermining the quality of liberal democracies. This type of discourse is particularly virulent against the political class and against feminism. Taking this reality as a starting point, this research will attempt to identify the gender bias in hate speech in the political sphere: do female politicians receive more verbal attacks than their male counterparts, not because they are politicians, but because they are women? Do female politicians receive more emotional polarity in the mentions they receive on Twitter than their male counterparts? Through discourse analysis using PLN techniques for emotion detection and text mining on a corpus of 3,483,232 tweets collected from 20 accounts of Spanish politicians, it is found that the messages received by women politicians concentrate more emotional po...