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| DOI | 10.1080/21670811.2019.1623701 | ||||
| Año | 2019 | ||||
| Tipo | artículo de investigación |
Citas Totales
Autores Afiliación Chile
Instituciones Chile
% Participación
Internacional
Autores
Afiliación Extranjera
Instituciones
Extranjeras
The mechanisms by which users of platforms such as Facebook and Twitter spread misinformation are not well understood. In this study, we argue that the effects of informational uses of social media on political participation are inextricable from its effects on misinformation sharing. That is, political engagement is both a major consequence of using social media for news as well as a key antecedent of sharing misinformation. We test our expectations via a two-wave panel survey of online media users in Chile, a country experiencing information disorders comparable to those of the global North. Analyses of the proposed and alternative causal models with two types of structural equation specifications (fixed effects and autoregressive) support our theoretical model. We close with a discussion on how changes in the way people engage with news and politics - brought about by social media - have produced a new dilemma: how to sustain a citizenry that is enthusiastically politically active, yet not spreading misinformation?
| Ord. | Autor | Género | Institución - País |
|---|---|---|---|
| 1 | VALENZUELA-LEIGHTON, SEBASTIAN ANDRES | Hombre |
Pontificia Universidad Católica de Chile - Chile
|
| 2 | HALPERN-JELIN, DANIEL MATIAS | Hombre |
Pontificia Universidad Católica de Chile - Chile
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| 3 | Katz, James E. | Hombre |
BOSTON UNIV - Estados Unidos
Boston University - Estados Unidos |
| 4 | Miranda, Juan P. | Hombre |
Pontificia Universidad Católica de Chile - Chile
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| Fuente |
|---|
| National Commission for Scientific and Technological Research (CONICYT) |
| Comisión Nacional de Investigación Científica y Tecnológica |
| Comisión Nacional de Investigación CientÃfica y Tecnológica |
| African Mathematics Millennium Science Initiative |
| Millennium Science Initiative under grant ICM/2018/Millennium Institute for Foundational Research on Data (IMFD) |
| IMFD |
| Agradecimiento |
|---|
| This work was supported by the National Commission for Scientific and Technological Research (CONICYT) under grants Fondap/CIGIDEN/15110017 and Fondecyt/1181600; and the Millennium Science Initiative under grant ICM/2018/Millennium Institute for Foundational Research on Data (IMFD). |
| This work was supported by the National Commission for Scientific and Technological Research (CONICYT) under grants Fondap/CIGIDEN/15110017 and Fondecyt/1181600; and the Millennium Science Initiative under grant ICM/2018/Millennium Institute for Foundational Research on Data (IMFD). |