Facebook News Use During the 2017 Norwegian Elections—Assessing the Influence of Hyperpartisan News
Bibliographic Data
| ID | 12908896 |
|---|---|
| Authors | Bente Kalsnes (0000-0002-8764-6925, OsloMet – Oslo Metropolitan University, corresponding author), Anders Olof Larsson (0000-0003-3621-4687, Høyskolen Kristiania) |
| Year | 2019 |
| Volume | 15 |
| Issue | 2 |
| Pages | 209-225 |
| Publication date | 2019-12-21 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Journalism Practice (JOURNAL) |
| Journal identifiers | ISSN: 1751-2786 • E-ISSN: 1751-2794 |
| Publisher | Taylor & Francis (PUBLISHER • GB) |
| DOI | 10.1080/17512786.2019.1704426 |
| OpenAlex | W2996274018 |
| Language | EN |
| Citations received | 12 |
| References cited | 47 |
The paper at hand presents a comparative study on news use in relation to media content as posted to Facebook by a series of established and hyperpartisan media outlets during the 2017 Norwegian national election campaign. Specifically, we are interested in determining what types of news emanating from what types of news outlets that result in comparably higher levels of news use—defined as levels of likes, shares and comments—on Facebook. Results indicated that with a few exceptions, established, legacy media dominate the most engaging news stories during the election campaign, while results for hyperpartisan media outlets suggests rather limited influence. Nevertheless, the hyperpartisan media outlets succeeded in making themselves visible on the platform under scrutiny, driving attention to issues such as immigration during the election campaign
Advertising · Business · Immigration · Media coverage · Media studies · News media · Norwegian · Political science · Scrutiny · Social media · Sociology · Hate Speech and Cyberbullying Detection · Law · Media Studies and Communication · Social Media and Politics
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| Unique citing works | 12 |
|---|---|
| Citations per year | 2,4 |
| Citation span | 2021 - 2026 (6) |
| Citation velocity | current |
| Highly cited | No |
| Citation types | Neutral: 11 |