# Johannes C. Eichstaedt

**Type:** Researchers  
**Canonical URL:** https://scholariq.org/researchers/johannes-c-eichstaedt/

## Facts

| Field | Value |
| --- | --- |
| Citations | 10,353 |
| Field | Mental Health via Writing |
| h-index | 42 |
| i10-index | 78 |
| Last Known Institution | INSEAD |
| OpenAlex ID | https://openalex.org/A5079039372 |
| ORCID iD | 0000-0002-3220-2972 |
| Works | 177 |

## Researcher papers

- [Personality, Gender, and Age in the Language of Social Media: The Open-Vocabulary Approach](https://scholariq.org/papers/personality-gender-and-age-in-the-language-of-social-media-the-open-vocabulary/)
- [Automatic personality assessment through social media language.](https://scholariq.org/papers/automatic-personality-assessment-through-social-media-language/)
- [Detecting depression and mental illness on social media: an integrative review](https://scholariq.org/papers/detecting-depression-and-mental-illness-on-social-media-an-integrative-review/)
- [Facebook language predicts depression in medical records](https://scholariq.org/papers/facebook-language-predicts-depression-in-medical-records/)
- [Psychological Language on Twitter Predicts County-Level Heart Disease Mortality](https://scholariq.org/papers/psychological-language-on-twitter-predicts-county-level-heart-disease-mortality/)
- [Using large language models in psychology](https://scholariq.org/papers/using-large-language-models-in-psychology/)
- [Large language models could change the future of behavioral healthcare: a proposal for responsible development and evaluation](https://scholariq.org/papers/large-language-models-could-change-the-future-of-behavioral-healthcare-a/)
- [Towards Assessing Changes in Degree of Depression through Facebook](https://scholariq.org/papers/towards-assessing-changes-in-degree-of-depression-through-facebook/)
- [Developing Age and Gender Predictive Lexica over Social Media](https://scholariq.org/papers/developing-age-and-gender-predictive-lexica-over-social-media/)
- [The overview effect: Awe and self-transcendent experience in space flight.](https://scholariq.org/papers/the-overview-effect-awe-and-self-transcendent-experience-in-space-flight/)
- [LLM-generated messages can persuade humans on policy issues](https://scholariq.org/papers/llm-generated-messages-can-persuade-humans-on-policy-issues-3/)

## Researcher topics

- [Mental Health via Writing](https://scholariq.org/topics/mental-health-via-writing/)
- [Mental Health Research Topics](https://scholariq.org/topics/mental-health-research-topics/)
- [Digital Mental Health Interventions](https://scholariq.org/topics/digital-mental-health-interventions/)
- [Psychological Well-being and Life Satisfaction](https://scholariq.org/topics/psychological-well-being-and-life-satisfaction/)
- [Sentiment Analysis and Opinion Mining](https://scholariq.org/topics/sentiment-analysis-and-opinion-mining/)

## Researcher university

- [INSEAD](https://scholariq.org/institutions/insead/)

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Source: ScholarIQ — public research metadata, principally OpenAlex. See https://scholariq.org/sources/ for provenance and https://scholariq.org/methodology/ for what these figures mean.