News by Popular Demand
Ideological Congruence, Issue Salience, and Media Reputation in News Sharing
Bibliographic Data
| ID | 12977397 |
|---|---|
| Authors | Natalia Aruguete (0000-0002-1571-9224, National University of Quilmes), E Calvo (0000-0001-5770-1391), Tiago Ventura (0000-0003-2162-814X, corresponding author) |
| Year | 2021 |
| Volume | 28 |
| Issue | 3 |
| Pages | 558-579 |
| Publication date | 2021-12-10 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | The International Journal of Press/Politics (JOURNAL) |
| Journal identifiers | ISSN: 1940-1612 • E-ISSN: 1040-1620 |
| Publisher | SAGE Publishing (PUBLISHER • US) |
| DOI | 10.1177/19401612211057068 |
| OpenAlex | W4200292994 |
| Language | EN |
| Citations received | 6 |
| References cited | 36 |
Social media news sharing has become a central subject of scholarly research in communication studies. To test current theories, it is of an utmost importance to estimate the meaningful parameters of news sharing behavior from observational data. In this article, we retrieve measures of ideological congruence, issue salience, and media reputation to explain news sharing in social media. We describe how the proposed statistical model connects to different strands of the news sharing literature. We then exemplify the usefulness of the model with an analysis of the relationship between ideological congruence and issue salience. Results show that if ideology and salience correlate with each other, the preferences of ideologues (i.e., users who give higher weight to ideological congruence) will be overrepresented in observational data. This will result in the heightened perceptions of polarization. We test the performance of the model using data from Brazil, Argentina, and the United States
Cognitive psychology · Congruence (geometry · Ideology · Observational study · Polarization (electrochemistry · Political science · Reputation · Salience (neuroscience · Social media · Social science · Sociology · Statistics · Law · Mathematics · Media Influence and Politics · Media Studies and Communication · Psychology · Social Media and Politics · Social Psychology
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| Unique citing works | 6 |
|---|---|
| Citations per year | 1,5 |
| Citation span | 2022 - 2025 (4) |
| Citation velocity | recent |
| Highly cited | No |
| Citation types | Neutral: 6 |