Lessons Learned from Research via Private Social Media Groups

被引：4

作者：

Kresnye, K. Cassie ^{[1
]}

Maestre, Juan F. ^{[1
]}

Jelen, Ben ^{[1
]}

Alqassim, Mona Y. ^{[2
]}

Wolters, Maria K. ^{[2
,3
]}

Siek, Katie A. ^{[1
]}

机构：

[1] Indiana Univ, Bloomington, IN 47405 USA

[2] Univ Edinburgh, Edinburgh, Midlothian, Scotland

[3] Alan Turing Inst, London, England

来源：

CHI EA '19 EXTENDED ABSTRACTS: EXTENDED ABSTRACTS OF THE 2019 CHI CONFERENCE ON HUMAN FACTORS IN COMPUTING SYSTEMS | 2019年

基金：

英国工程与自然科学研究理事会; 美国国家科学基金会;

关键词：

Asynchronous Remote Communities; Facebook; social media; research methods;

D O I：

10.1145/3290607.3299055

中图分类号：

TP3 [计算技术、计算机技术];

学科分类号：

0812 ;

摘要：

As research methods evolve to provide a voice to understudied, distributed communities, we explore our experiences running and analyzing Asynchronous Remote Communities (ARC) studies. Our experiences stem from four separate Facebook-based ARC studies with people who experience: rare disease, pregnancy, miscarriage, or HIV. We delve into these studie's methods, and present updated guidelines focused on improved study design, data collection, and analysis plans for ARC studies.

引用

页数：8

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