Cristina Pulido

TL;DR: Analysis of the type of tweets that circulated on Twitter around the COVID-19 outbreak for two days, in order to analyze how false and true information was shared, shows that false information is tweeted more but retweeted less than science-based evidence or fact-checking tweets, while science- based evidence and fact- checking tweets capture more engagement than mere facts.

TL;DR: The results indicate that messages focused on fake health information are mostly aggressive, those based on evidence of social impact are respectful and transformative, and deliberation contexts promoted in social media overcome false information about health.

TL;DR: The social impact coverage ratio (SICOR) is defined to identify the percentage of tweets and Facebook posts providing information about potential or actual social impact in relation to the total amount of social media data found related to specific research projects.

TL;DR: In this article, the communicative analysis of qualitative data collection in research on gender violence is essential to prevent the reproduction of stereotypes and to induce transformation through research, and the authors identify solidarity among women as an element of the transformative dimension.

TL;DR: Pulido et al. as discussed by the authors discuss actos comunicativos dialogicos in the proceso de interpretacion interactiva del texto and their implicaciones in la transformacion social.