Cyberchondria: Studies of the escalation of medical concerns in Web search
By Ryen W. White, Eric Horvitz. TOIS, 2009
591 citations recorded by the source corpus.
Subfields: Epidemiology, Psychiatry and Mental health, Sociology and Political Science
View Paper: https://www.semanticscholar.org/paper/8ffc1b96cae60170c7a92d64c2a67995dc6c07e6
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Epidemiology
In Psychiatry and Mental health
In Sociology and Political Science
Citations in the corpus
- Information Retrieval: A Biomedical and Health Perspective (2020, methodology): “The altmetrics score was first adopted by the Public Library of Science (PLoS) family of journals [108], but many others now provide it, such as JAMA and”
- Learning a Health Knowledge Graph from Electronic Medical Records (2017, unknown): “1038/s41598-017-05778-z = − − IMPT f 1 (4) noisy or ij”
- Seeking and sharing health information online: comparing search engines and social media (2014, methodology): “Serious illnesses: We utilized a list of 58 serious conditions defined in [33], again based on the ICD-10.”
- Sorting out symptoms: design and evaluation of the 'babylon check' automated triage system (2016, background): “However, even if medically correct, reporting these conditions without professional guidance is not in the interest of the user and may lead to increased anxiety [1].”
- Beliefs and biases in web search (2013, background): “Although the search engine is not trying to answer directly, biases limit selection options and previous studies have shown that people can interpret result order as a likelihood ordering [44].”