COVID-19 anxiety: The impact of older adults’ transmission of negative information and online social networks
Bibliographic record
Abstract
Objectives: This study examines the impact of older adults' online social networks on their COVID-19 anxiety, directly or indirectly through social transmission of negative information about COVID-19. Social networks were indexed by both bonding capital (i.e., social relationships formed with family and friends) and bridging capital (i.e., social relationships formed through casual social networks). Methods: An on-line survey was conducted with 190 older adults who were in self-isolation in Ontario in the early waves of the COVID-19 pandemic in 2020. Results: Bonding and bridging capital showed different impacts on older adults' informational behavior and COVID-19 anxiety. While bonding capital deterred older adults from transmitting negative COVID-19 information and thus reduced COVID-19 anxiety, bridging capital contributed to increased dissemination of negative information and thus heightened older adults' anxiety. Discussion: Our findings shed light on the detrimental behavioral and psychological impact of casual online social networks on older adults amidst a public health crisis.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.004 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".