An unavoidable convenience
How post-millennials engage with the news that finds them on social and mobile media
Bibliographic Data
| ID | 7477963 |
|---|---|
| Authors | Anne Oeldorf-Hirsch (0000-0002-3961-3766, University of Connecticut, corresponding author), Preeti Srinivasan (University of Connecticut) |
| Year | 2021 |
| Volume | 23 |
| Issue | 9 |
| Pages | 1939-1954 |
| Publication date | 2021-01-22 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Journalism (JOURNAL) |
| Journal identifiers | ISSN: 1464-8849 • E-ISSN: 1741-3001 |
| Publisher | SAGE Publishing (PUBLISHER • US) |
| DOI | 10.1177/1464884921990251 |
| OpenAlex | W3125770090 |
| Language | EN |
| Citations received | 18 |
| References cited | 33 |
The growing reliance on social media via mobile devices is changing how individuals obtain, engage with, and learn from news content. Based on the cognitive mediation model of learning from the news, this study qualitatively explores this three-step process of news exposure, engagement, and knowledge via digital media. Focus group discussions with post-Millennials ( N = 60) and thematic analysis of the results reveal several tensions. Participants see social media as imperfect but unavoidably convenient ways to get news, and they find the personalised news content available to be both a benefit and a drawback. They show a general hesitation to engage publicly with news content, opting mostly to passively observe others’ discussions on social media. Finally, they feel that social media give them a sense of awareness of current events, but do not prompt deeper learning about news topics
Advertising · Business · Focus group · Mediation · Political science · Public relations · Qualitative research · Social media · Social science · Sociology · Thematic analysis · World Wide Web · Computer Science · Impact of Technology on Adolescents · Misinformation and Its Impacts · Psychology · Social Media and Politics
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| Unique citing works | 18 |
|---|---|
| Citations per year | 3,6 |
| Citation span | 2021 - 2026 (6) |
| Citation velocity | current |
| Highly cited | No |
| Citation types | Neutral: 18 |