The lockdown situation has exposed citizens to a profusion of information about COVID-19, both official and unofficial, with different sources and varying degrees of reliability. Uncertainty spurs the search for information since the health of citizens depends on it. This study explores the mediation processes involved in building trust in actors linked to the COVID-19 pandemic and media consumption on the prevention measures that citizens take for their care. A representative sample of 1211 Mexican citizens was subject to the study. Among the main results is that citizens are very informed about COVID-19, engage in considerable media consumption, and have substantial institutional trust, particularly in non-governmental organizations. Regarding prevention measures, these are associated with people's trust in health sector employees. Likewise, regarding the acceptance of both true and fa...

In order to asses the importance of political communication in the Mexican political culture, this paper probes into the behavior of digital communities in Twitter during the 2018 Mexico’s presidential election. Research followed a two staged design. First, a large sample of tweets were collected on a daily basis using the package “rtweet” in the R programming environment. Following that, the collected tweets were filtered, cleaned, and a codebook was designed to analyze their contents. The results show that, out of a sample of 4664 publications, candidate Jose Antonio Meade had the largest number of mentions (47%), followed by Andrés Manuel López Obrador (29%) and Ricardo Anaya (24%). “Common citizens” issued 31% of the tweets analyzed, out of which 20% show links to online news outlets, while journalists and media publications accounted for 40% of the sampled tweets. The au...

In order to asses the importance of political communication in the Mexican political culture, this paper probes into the behavior of digital communities in Twitter during the 2018 Mexico’s presidential election. Research followed a two staged design. First, a large sample of tweets were collected on a daily basis using the package “rtweet” in the R programming environment. Following that, the collected tweets were filtered, cleaned, and a codebook was designed to analyze their contents. The results show that, out of a sample of 4664 publications, candidate Jose Antonio Meade had the largest number of mentions (47%), followed by Andrés Manuel López Obrador (29%) and Ricardo Anaya (24%). “Common citizens” issued 31% of the tweets analyzed, out of which 20% show links to online news outlets, while journalists and media publications accounted for 40% of the sampled tweets. The au...