La construcción de opinión pública en Twitter por líderes mediáticos e influencers, sobre los contenidos de corrupción durante la pandemia COVID-19: Caso Tania Tinoco (líder mediático) Pedro Granja (influencer)

Abstract

The twentieth century has been characterized by the revolution in technology, with this change is achieved to link and interconnect the world generating advances in communication, new virtual platforms and the emergence of social networks changes the ways in which human beings relate, opinions and comments. Among the research question posed for this thesis is the following: What influence does the content on corruption during the COVID-19 pandemic, issued by media leaders and influencers of public opinion, have on public opinion? Is there greater credibility and monitoring of the characters when negative and attacking comments are issued? Mass communication in the digital era and with social networks reaches broad audiences with direct messages because characters like the ones in this research are the influencers and media opinion leaders achieve a legitimization of opinions, so that they get followers and thus give strength to these characters to continue to issue opinions in this case about corruption in Ecuador, Noelle Neuman (2010) in The Spiral of Silence states that "He can agree with the dominant point of view, which reinforces his self-confidence and allows him to express himself without reticence and without the risk of being isolated from those who hold different points of view" (p. 201) Self-communication in these social networks in this case Twitter has become a nest of true and false opinions given by public media characters and social actors (influencers). They use collective indignation such as cases of corruption and messages with negative content, in order to position themselves in the digital medium as social actors of opinion, according to Castells (2011). It is self-communication because one generates the message oneself, defines the possible receptors and selects the specific messages or contents of the web and electronic communication networks that one wants to recover. For the development of the analysis, we proposed to work with a content analysis, emphasizing the first 10 comments of each Twitter about corruption in the accounts of @TinnocoTannia and @PedritoExtranja. We then set out to execute a quantitative approach to obtain greater proximity to the questions posed, using the SPSS program and executing the cross tables for comparison between the characters analyzed. The research has four chapters that are divided into: theoretical framework, methodology, analysis and discussion of results to close with conclusions and recommendations.