Digital Traces: New Data, Resources, and Tools for Psychological-Science Research

被引：17

作者：

Rafaeli, Anat ^{[1
]}

Ashtar, Shelly ^{[1
]}

Altman, Daniel ^{[1
]}

机构：

[1] Technion Israel Inst Technol, William Davidson Fac Ind Engn & Management, Bloomfield Bldg,Room 512, IL-3200003 Haifa, Israel

来源：

CURRENT DIRECTIONS IN PSYCHOLOGICAL SCIENCE | 2019年 / 28卷 / 06期

基金：

以色列科学基金会;

关键词：

digital traces; big data; automated data collection; computer-aided text analysis; sentiment analysis; TEXT ANALYSIS; BIG DATA; OPPORTUNITIES; TWITTER; EMOTION; WORDS;

D O I：

10.1177/0963721419861410

中图分类号：

B84 [心理学];

学科分类号：

04 ; 0402 ;

摘要：

New technologies create and archive digital traces-records of people's behavior-that can supplement and enrich psychological research. Digital traces offer psychological-science researchers novel, large-scale data (which reflect people's actual behaviors), rapidly collected and analyzed by new tools. We promote the integration of digital-traces data into psychological science, suggesting that it can enrich and overcome limitations of current research. In this article, we review helpful data sources, tools, and resources and discuss challenges associated with using digital traces in psychological research. Our review positions digital-traces research as complementary to traditional psychological-research methods and as offering the potential to enrich insights on human psychology.

引用

页码：560 / 566

页数：7

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