EconPapers    
Economics at your fingertips  
 

Dancing with Ambiguity Online: When Our Online Actions Cause Confusion

So Yeon Park (), Mark E. Whiting and Michael Shanks
Additional contact information
So Yeon Park: Stanford University
Mark E. Whiting: University of Pennsylvania
Michael Shanks: Stanford University

A chapter in Design Thinking Research, 2022, pp 37-56 from Springer

Abstract: Abstract Online social actions are often ambiguous, leading us to wonder: Why did this person unfollow me? Why did my friend like this negative content? Such ambiguity is common and perceived as a natural part of our ubiquitous online interactions. However, as online actions are curated and designed by platforms, this ambiguity is, at least in part, something platforms can control—for example, some platforms provide explicit dislike functionality, while others do not provide features to clearly signal such sentiment. Our understanding of this ambiguity around online actions is limited. We are unaware of the wide spectrum of situations in which people are confused by others’ online actions and how widespread such confusion might be. We conducted a survey study to identify when such ambiguity occurs—when people wonder why online actions are taken. We found that ambiguity of online actions occurs in non-nuanced situations. Specifically, some people wondered why online actions were taken when simply certain actions, content, or stakeholders were involved. For example, malicious content caused ambiguity, regardless of whether others posted or interacted with such content. Our findings suggest that more platform features may help to improve the clarity of people’s actions as well as the extent of the impact of these actions, which may help to avoid such uncertainty.

Date: 2022
References: Add references at CitEc
Citations:

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:undchp:978-3-031-09297-8_3

Ordering information: This item can be ordered from
http://www.springer.com/9783031092978

DOI: 10.1007/978-3-031-09297-8_3

Access Statistics for this chapter

More chapters in Understanding Innovation from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().

 
Page updated 2025-03-23
Handle: RePEc:spr:undchp:978-3-031-09297-8_3