The DOI matches its Crossref record; 62 of the 62 references it cites were found in a registry or an index.
Social Media and Mental Health
Abstract
We provide quasi-experimental estimates of the impact of social media on mental health by leveraging a unique natural experiment: the staggered introduction of Facebook across US colleges. Our analysis couples data on student mental health around the years of Facebook’s expansion with a generalized difference-in-differences empirical strategy. We find that the rollout of Facebook at a college had a negative impact on student mental health. It also increased the likelihood with which students reported experiencing impairments to academic performance due to poor mental health. Additional evidence on mechanisms suggests the results are due to Facebook fostering unfavorable social comparisons. (JEL D91, I12, I23, L82)
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Cites
Diagnostic and Statistical Manual of Mental Disorders
American Psychiatric Association (2013) · doi:10.1176/appi.books.9780890425596 · Cited by 116,369
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Spitzer, R. L., Kroenke, K., Williams, J. B. W., & Löwe, B. (2006) · Archives of Internal Medicine · doi:10.1001/archinte.166.10.1092 · Cited by 31,765
James, S. L., Abate, D., Abate, K. H., Abay, S. M., Abbafati, C., Abbasi, N., Abbastabar, H., Abd-Allah, F., Abdela, J., Abdelalim, A., et al. (2018) · The Lancet · doi:10.1016/s0140-6736(18)32279-7 · Cited by 13,867
Difference-in-Differences with multiple time periods
Callaway, B., & Sant’Anna, P. H. C. (2021) · Journal of Econometrics · doi:10.1016/j.jeconom.2020.12.001 · Cited by 9,126
Difference-in-differences with variation in treatment timing
Goodman-Bacon, A. (2021) · Journal of Econometrics · doi:10.1016/j.jeconom.2021.03.014 · Cited by 8,046
The Quarterly Journal of Economics
Kuznets, S. (2024) · Business Cycle Theory, Part I Volume 4 · doi:10.4324/9781003549741-8 · Cited by 7,176
The PHQ-9: A New Depression Diagnostic and Severity Measure
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Estimating dynamic treatment effects in event studies with heterogeneous treatment effects
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Two-Way Fixed Effects Estimators with Heterogeneous Treatment Effects
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AI Chatbots in Digital Mental Health
Balcombe, L. (2023) · Informatics · doi:10.3390/informatics10040082 · Cited by 174
Misunderstanding the harms of online misinformation
Budak, C., Nyhan, B., Rothschild, D. M., Thorson, E., & Watts, D. J. (2024) · Nature · doi:10.1038/s41586-024-07417-w · Cited by 156
Marciano, L., Lin, J., Sato, T., Saboor, S., & Viswanath, K. (2024) · SSM - Mental Health · doi:10.1016/j.ssmmh.2024.100331 · Cited by 80
The effect of broadband Internet on the gender gap in mental health: Evidence from Germany
Golin, M. (2022) · Health Economics · doi:10.1002/hec.4570 · Cited by 68
Wu, Y., Kemps, E., & Prichard, I. (2024) · Body Image · doi:10.1016/j.bodyim.2023.101650 · Cited by 60
Metadata
- Authors
- Braghieri, L., Levy, R., & Makarin, A.
- Venue
- American Economic Review
- Publisher
- American Economic Association
- Published
- 2022-11-01
- Volume
- 112
- Issue
- 11
- Pages
- 3660-3693
- ISSN
- 0002-8282 (ISSN-L)
- OpenAlex
- W4307559973
- Cited by
- 512
- References
- 62
- FWCI
- 142.67
- Type
- journal article
- Language
- en
- Open access
- closed
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.