Title
Everyday serendipity as described in social media
Abstract
Serendipity has received much attention from library and information science, psychology, and computer science. Yet not much is known about serendipity in the context of everyday information behavior. In general, a key challenge in the study of serendipity is obtaining accounts of serendipitous experiences that provide insight into the phenomenon. The exploratory research reported here approaches this problem by examining naturally occurring descriptions of serendipity as found on blogs. The paper shows how these data can be collected, stored, and analyzed. We also discuss strengths of the proposed approach in comparison to the use of descriptions elicited in controlled settings for the purposes of research. Through a grounded theory approach, we develop a model of serendipity that can inform the design of information systems. The paper contributes to the LIS field by discussing an alternative data collection method for serendipity research, outlining a tentative conceptual model of serendipity, and showing the utility of this model for the analysis of everyday accounts of serendipity found on blogs.
Year
DOI
Venue
2010
10.1002/meet.14504701409
ASIST
Keywords
Field
DocType
everyday account,everyday serendipity,alternative data collection method,serendipity research,information system,social media,exploratory research,everyday information behavior,computer science,information science,tentative conceptual model,research methods
Social psychology,Grounded theory,Information system,Data science,Data collection,Information behavior,Social media,Conceptual model,Psychology,Exploratory research,Serendipity
Conference
Citations 
PageRank 
References 
25
0.68
4
Authors
3
Name
Order
Citations
PageRank
Victoria L. Rubin127917.38
Jacquelyn Burkell227017.56
Anabel Quan-Haase344447.48