TY - JOUR
T1 - Research on Web Search Behavior
T2 - How Online Query Data Inform Social Psychology
AU - Lai, Kaisheng
AU - Lee, Yan Xin
AU - Chen, Hao
AU - Yu, Rongjun
N1 - Funding Information:
This research is supported by the MOE Tier 2 (MOE2016-T2-1-105) to R.Y., the Key Program of the National Natural Science Foundation of China (Grant No. 71532005, No. 71731004), and National Social Science Foundation of China (Grant No. 15BSH034) to Guangdong Key Laboratory for Big Data Analysis and Simulation of Public Opinion.
Publisher Copyright:
© Copyright 2017, Mary Ann Liebert, Inc. 2017.
PY - 2017/10
Y1 - 2017/10
N2 - The widespread use of web searches in daily life has allowed researchers to study people's online social and psychological behavior. Using web search data has advantages in terms of data objectivity, ecological validity, temporal resolution, and unique application value. This review integrates existing studies on web search data that have explored topics including sexual behavior, suicidal behavior, mental health, social prejudice, social inequality, public responses to policies, and other psychosocial issues. These studies are categorized as descriptive, correlational, inferential, predictive, and policy evaluation research. The integration of theory-based hypothesis testing in future web search research will result in even stronger contributions to social psychology.
AB - The widespread use of web searches in daily life has allowed researchers to study people's online social and psychological behavior. Using web search data has advantages in terms of data objectivity, ecological validity, temporal resolution, and unique application value. This review integrates existing studies on web search data that have explored topics including sexual behavior, suicidal behavior, mental health, social prejudice, social inequality, public responses to policies, and other psychosocial issues. These studies are categorized as descriptive, correlational, inferential, predictive, and policy evaluation research. The integration of theory-based hypothesis testing in future web search research will result in even stronger contributions to social psychology.
KW - big data
KW - Google
KW - social psychology
KW - web search
UR - http://www.scopus.com/inward/record.url?scp=85031760809&partnerID=8YFLogxK
U2 - 10.1089/cyber.2017.0261
DO - 10.1089/cyber.2017.0261
M3 - Journal article
C2 - 29039705
AN - SCOPUS:85031760809
SN - 2152-2715
VL - 20
SP - 596
EP - 602
JO - Cyberpsychology, Behavior, and Social Networking
JF - Cyberpsychology, Behavior, and Social Networking
IS - 10
ER -
