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Apart not alone while we #workfromhome: Tweeters Online Communal Coping with Involuntary Remote Work During COVID-19

This thesis explores the role of social media in communal coping. Specifically, it explores the role of Twitter in the communal coping with stressors affecting a global population due to the COVID-19 pandemic disease, with the purpose of answering the main research question: How is Twitter being used as a platform for online coping with the common stressor of involuntary teleworking from home during a pandemic? Through a mixed methods analysis of Twitter content collected from two weeks in April 2020, this thesis examines how Tweeters are connecting with each other through the hashtag #workfromhome in order to cope with stressors involved with working remotely from their homes. Using sensitized concepts from theoretical frameworks and prior studies of coping, a hermeneutic approach to social science was adopted in the research. Qualitative and quantitative content analysis was performed in several rounds of iterative process coding. The results of this thesis suggest that in the context of COVID-19 Tweeting is itself part of the coping process. Further, online coping strategies can first and foremost be recognized as communal. In answer to the main research question, Twitter is being used as a platform for communal coping orientation, communication about the stressor, and cooperative action. With the changing nature of work and the ongoing uncertainty concerning the long-term implications of COVID-19, the direction of this thesis and its findings may assist organizations and stakeholders alike in understanding the impact of involuntary remote work on individuals. Lastly, the findings open up new opportunities for research within the field of studying online coping efforts.

Identiferoai:union.ndltd.org:UPSALLA1/oai:DiVA.org:mau-23730
Date January 2020
CreatorsSernhede, Saralie
PublisherMalmö universitet, Fakulteten för kultur och samhälle (KS), Malmö universitet/Kultur och samhälle
Source SetsDiVA Archive at Upsalla University
LanguageEnglish
Detected LanguageEnglish
TypeStudent thesis, info:eu-repo/semantics/bachelorThesis, text
Formatapplication/pdf
Rightsinfo:eu-repo/semantics/openAccess

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