This trailer develops the notion of mutual domestication between people and algorithms as an analytical key to understand algorithmic cultures. It is argued that this idea offers opportunities to rethink the relationship between people and technologies in the era of algorithms and artificial intelligence. The importance of conceptualizing agency as a cyclical, fluid process full of friction is highlighted. This trailer suggests that the perspective of “mutual domestication” opens new avenues of research, particularly concerning time and understudied dynamics within Latin American contexts. Thus, this notion seeks to deepen our understanding of the specific realities of the Global South in the experience of digital media.

This trailer develops the notion of mutual domestication between people and algorithms as an analytical key to understand algorithmic cultures. It is argued that this idea offers opportunities to rethink the relationship between people and technologies in the era of algorithms and artificial intelligence. The importance of conceptualizing agency as a cyclical, fluid process full of friction is highlighted. This trailer suggests that the perspective of “mutual domestication” opens new avenues of research, particularly concerning time and understudied dynamics within Latin American contexts. Thus, this notion seeks to deepen our understanding of the specific realities of the Global South in the experience of digital media.

This study examines cognitive, socio-political, and socio-demographic predictors of the evaluation and willingness to share disinformation about COVID-19 via WhatsApp. Using an online survey, a convenience sample of 553 Costa Rican adults were exposed to disinformation about vaccines and the state’s response to the pandemic. Results show that people who support authoritarian, conservative and pro-state ideologies, and those with low reflective thinking, were more likely to believe and share disinformation. Moreover, among people with low reflective thinking, older people were more likely to detect disinformation. Finally, highly religious individuals and younger conservatives with lower education expressed more willingness to share disinformation.

This study examines cognitive, socio-political, and socio-demographic predictors of the evaluation and willingness to share disinformation about COVID-19 via WhatsApp. Using an online survey, a convenience sample of 553 Costa Rican adults were exposed to disinformation about vaccines and the state’s response to the pandemic. Results show that people who support authoritarian, conservative and pro-state ideologies, and those with low reflective thinking, were more likely to believe and share disinformation. Moreover, among people with low reflective thinking, older people were more likely to detect disinformation. Finally, highly religious individuals and younger conservatives with lower education expressed more willingness to share disinformation.