The psychology of job loss: using social media data to characterize and predict unemployment

By Davide Proserpio, Scott Counts, Apurv Jain. 2016

27 citations recorded by the source corpus.

Subfields: Economics and Econometrics, General Health Professions, Health

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Economics and Econometrics

1. Fernando Diaz
2. Carlos Castillo
3. Onur Varol
4. Emre Kıcıman
5. Alexandra Olteanu

In General Health Professions

1. Fernando Diaz
2. Carlos Castillo
3. Emre Kıcıman
4. Alexandra Olteanu

In Health

1. Emre Kıcıman
2. Alexandra Olteanu

Citations in the corpus

• Social Data: Biases, Methodological Pitfalls, and Ethical Boundaries (2019, methodology): “Social media studies often rely on self-reports to identify treated users by searching for certain terms in messages (Proserpio et al., 2016; Olteanu et al., 2017b), e.g., identifying job losses by searching for statements such as “I was fired.””
• Distilling the Outcomes of Personal Experiences: A Propensity-scored Analysis of Social Media (2017, background): “Policy makers and scientists ask similar questions about situations of societal importance: What happens to a child after being bullied [3]? What factors put people at risk of considering suicide [28]? And, what happens to individuals when they lose their jobs [81]? From social and public health to ”