Social Media Use and Participation in Dueling Protests
The Case of the 2016–2017 Presidential Corruption Scandal in South Korea
Bibliographic Data
| ID | 12977261 |
|---|---|
| Authors | Kiyoung Chang (0000-0001-7557-1519, Kyonggi University), Jeeyoung Park (0000-0002-6963-9502, Myongji University, corresponding author) |
| Year | 2020 |
| Volume | 26 |
| Issue | 3 |
| Pages | 547-567 |
| Publication date | 2020-07-16 |
| 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 | 10.1177/1940161220940962 |
| OpenAlex | W3042387881 |
| Language | EN |
| Citations received | 13 |
| References cited | 57 |
This study examines how citizens’ social media use may have influenced their participation in highly polarizing protests during the 2016–2017 corruption scandal in South Korea. As social media users mobilize politically by acquiring varied political information from other users, social media use created more incentives for citizens to participate in both pro- and anti-impeachment protests during the scandal. Given that social media is an important arena for political activism, participation in rival protests also influences many motivated protesters to strengthen their side’s voices online. Thus, protests may increase citizens’ political use of social media. Our empirical analysis suggests that social network service use does not influence citizens’ political activities in a unidirectional manner. We have found that social media use and participation in rival protests reciprocally influence each other
Economics · Impeachment · Incentive · Language change · Political economy · Political science · Politics · Presidential system · Public relations · Social media · Sociology · Law · Media Influence and Politics · Misinformation and Its Impacts · Social Media and Politics
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| Unique citing works | 13 |
|---|---|
| Citations per year | 2,6 |
| Citation span | 2021 - 2025 (5) |
| Citation velocity | recent |
| Highly cited | No |
| Citation types | Neutral: 13 |