Lessons Learned from Research via Private Social Media Groups

K. Cassie Kresnye; Juan F. Maestre; Ben Jelen; Mona Y.  Alqassim; Maria Wolters; Katie A. Siek

doi:10.1145/3290607.3299055

Lessons Learned from Research via Private Social Media Groups

K. Cassie Kresnye, Juan F. Maestre, Ben Jelen, Mona Y. Alqassim, Maria Wolters, Katie A. Siek

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Abstract

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 studies’ methods, and present updated guidelines focused on improved study design, data collection, and analysis plans for ARC studies.

Original language	English
Title of host publication	Extended Abstracts of the 2019 CHI Conference on Human Factors in Computing Systems
Place of Publication	Glasgow, Scotland, UK
Publisher	ACM
Number of pages	8
ISBN (Electronic)	978-1-4503-5971-9
DOIs	https://doi.org/10.1145/3290607.3299055
Publication status	Published - 2 May 2019
Event	ACM CHI Conference on Human Factors in Computing Systems 2019 - Glasgow, United Kingdom Duration: 4 May 2019 → 9 May 2019 https://chi2019.acm.org/

Conference

Conference	ACM CHI Conference on Human Factors in Computing Systems 2019
Abbreviated title	CHI 2019
Country/Territory	United Kingdom
City	Glasgow
Period	4/05/19 → 9/05/19
Internet address	https://chi2019.acm.org/

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10.1145/3290607.3299055

Lessons Learned from Research via Private Social Media Groups Accepted author manuscript, 1.25 MB

https://dl.acm.org/citation.cfm?id=3299055

ATI Faculty Fellowship
Wolters, M.
UK-based charities
1/09/16 → 31/08/20
Project: Research

Cite this

@inproceedings{9771d31f960241d9a1f2c83d5ce9465e,

title = "Lessons Learned from Research via Private Social Media Groups",

abstract = "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 studies{\textquoteright} methods, and present updated guidelines focused on improved study design, data collection, and analysis plans for ARC studies.",

author = "Kresnye, {K. Cassie} and Maestre, {Juan F.} and Ben Jelen and Alqassim, {Mona Y.} and Maria Wolters and Siek, {Katie A.}",

year = "2019",

month = may,

day = "2",

doi = "10.1145/3290607.3299055",

language = "English",

booktitle = "Extended Abstracts of the 2019 CHI Conference on Human Factors in Computing Systems",

publisher = "ACM",

note = "ACM CHI Conference on Human Factors in Computing Systems 2019, CHI 2019 ; Conference date: 04-05-2019 Through 09-05-2019",

url = "https://chi2019.acm.org/",

}

Kresnye, KC, Maestre, JF, Jelen, B, Alqassim, MY, Wolters, M & Siek, KA 2019, Lessons Learned from Research via Private Social Media Groups. in Extended Abstracts of the 2019 CHI Conference on Human Factors in Computing Systems., CS04, ACM, Glasgow, Scotland, UK, ACM CHI Conference on Human Factors in Computing Systems 2019, Glasgow, United Kingdom, 4/05/19. https://doi.org/10.1145/3290607.3299055

TY - GEN

T1 - Lessons Learned from Research via Private Social Media Groups

AU - Kresnye, K. Cassie

AU - Maestre, Juan F.

AU - Jelen, Ben

AU - Alqassim, Mona Y.

AU - Wolters, Maria

AU - Siek, Katie A.

PY - 2019/5/2

Y1 - 2019/5/2

N2 - 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 studies’ methods, and present updated guidelines focused on improved study design, data collection, and analysis plans for ARC studies.

AB - 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 studies’ methods, and present updated guidelines focused on improved study design, data collection, and analysis plans for ARC studies.

U2 - 10.1145/3290607.3299055

DO - 10.1145/3290607.3299055

M3 - Conference contribution

BT - Extended Abstracts of the 2019 CHI Conference on Human Factors in Computing Systems

PB - ACM

CY - Glasgow, Scotland, UK

T2 - ACM CHI Conference on Human Factors in Computing Systems 2019

Y2 - 4 May 2019 through 9 May 2019

ER -

Lessons Learned from Research via Private Social Media Groups

Abstract

Conference

Access to Document

Projects

ATI Faculty Fellowship

Cite this