Disentangling the Influence of Recommender Attributes and News-Story Attributes
A Conjoint Experiment on Exposure and Sharing Decisions on Social Networking Sites
Bibliographic Data
| ID | 22010641 |
|---|---|
| Authors | Mikael Poul Johannesson (0000-0002-6479-9283, University of Bergen), Erik Knudsen (0000-0002-7046-9424, University of Bergen, corresponding author) |
| Year | 2021 |
| Volume | 9 |
| Issue | 8 |
| Pages | 1141-1161 |
| Publication date | 2021-09-14 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Digital Journalism (JOURNAL) |
| Journal identifiers | ISSN: 2167-0811 • E-ISSN: 2167-082X |
| Publisher | Informa UK Limited (PUBLISHER • GB) |
| DOI | 10.1080/21670811.2020.1805780 |
| OpenAlex | W3078426134 |
| Language | EN |
| Citations received | 13 |
| References cited | 45 |
While news outlets still play an important role as a source of news, people increasingly receive their political information and news from social networking sites (SNSs). This study extends the literature on exposure and sharing decisions on SNSs by exploring how different attributes shape such decisions, how the two decision types differ, and by disentangling the role played by personal news recommendations and shared news stories on SNSs. As SNSs add a social dimension, exposure and sharing decisions are contingent not only upon the news story itself (news-story attributes) but also upon characteristics of the person who shares the story (recommender attributes). We designed a conjoint experiment to disentangle the effects of recommender and news-story attributes on the decision to recommend and read news and fielded it in a probability-based Norwegian online survey. The results suggest that committing to reading and sharing information are two similar yet distinct phenomena and that selective sharing is a stronger commitment than selective exposure. We also found evidence to suggest that selective sharing of news featuring a favored political party was contingent upon whether one also received information about the recommender attributes
Advertising · Business · Information sharing · Internet privacy · Norwegian · Political science · Politics · Recommender system · World Wide Web · Computer Science · Media Studies and Communication · Opinion Dynamics and Social Influence · Psychology · Social Media and Politics
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| Unique citing works | 13 |
|---|---|
| Citations per year | 2,6 |
| Citation span | 2021 - 2026 (6) |
| Citation velocity | current |
| Highly cited | No |
| Citation types | Neutral: 12 |