Header

UZH-Logo

Maintenance Infos

A methodological pilot for gathering data through text-messaging to study question-asking in everyday life


Gergle, Darren; Hargittai, Eszter (2018). A methodological pilot for gathering data through text-messaging to study question-asking in everyday life. Mobile Media & Communication, 6(2):197-214.

Abstract

How do people find answers to questions they encounter in everyday life? While extensive research has examined how people go about finding answers to questions online, there has been little work investigating the issue from a more holistic, in situ perspective that covers the various devices, resources, and contextual factors that influence everyday question-asking experiences. To address this, we developed a text-messaging-based data-collection framework. This paper details our approach including reflections on both the benefits and challenges of the methodology for researchers seeking to apply similar approaches to social science research. In doing so, we demonstrate how our methodology helps establish a contextually rich understanding of information-seeking processes. We also demonstrate our approach to analyzing data from a small but diverse group of adults across the United States about their everyday question-asking experiences.

Abstract

How do people find answers to questions they encounter in everyday life? While extensive research has examined how people go about finding answers to questions online, there has been little work investigating the issue from a more holistic, in situ perspective that covers the various devices, resources, and contextual factors that influence everyday question-asking experiences. To address this, we developed a text-messaging-based data-collection framework. This paper details our approach including reflections on both the benefits and challenges of the methodology for researchers seeking to apply similar approaches to social science research. In doing so, we demonstrate how our methodology helps establish a contextually rich understanding of information-seeking processes. We also demonstrate our approach to analyzing data from a small but diverse group of adults across the United States about their everyday question-asking experiences.

Statistics

Citations

Dimensions.ai Metrics
3 citations in Web of Science®
2 citations in Scopus®
Google Scholar™

Altmetrics

Downloads

0 downloads since deposited on 22 Feb 2019
0 downloads since 12 months

Additional indexing

Item Type:Journal Article, not_refereed, original work
Communities & Collections:06 Faculty of Arts > Department of Communication and Media Research
Dewey Decimal Classification:700 Arts
Uncontrolled Keywords:ESM, experience sampling, information seeking, methods, mobile data collection, question-asking, SMS, text-messaging
Language:English
Date:22 January 2018
Deposited On:22 Feb 2019 16:26
Last Modified:25 Apr 2019 03:12
Publisher:Sage Publications Ltd.
ISSN:2050-1579
OA Status:Closed
Publisher DOI:https://doi.org/10.1177/2050157917741333

Download