A Practical Guide to WhatsApp Data in Social Science Research

Kohne, Julian; Elhai, Jon D.; Montag, Christian

doi:10.1007/978-3-030-98546-2_11

Cited by 2 publications

References 57 publications

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ChatDashboard: A Framework to collect, link, and process donated WhatsApp Chat Log Data

Kohne,

Montag

2023

Behav Res

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In this paper, we present ChatDashboard, a framework for collecting, linking, and processing donated WhatsApp chat log data. The framework consists of the WhatsR R package for parsing, anonymizing, and preprocessing donated WhatsApp chat logs, the ChatDashboard R Shiny web app for uploading, reviewing, and securely donating WhatsApp chat logs, and DashboardTester, an automated script for testing the correct setup of the framework by simulating participants. With ChatDashboard, researchers can set up their own data collections to gather transparently donated WhatsApp chat log data from consenting participants and link them to survey responses. It enables researchers to retrospectively collect highly granular data on interpersonal interactions and communication without building their own tools from scratch. We briefly discuss the advantages of donated WhatsApp chat log data for investigating social relationships and provide a detailed explanation of the ChatDashboard framework. Additionally, we provide a step-by-step guideline in the supplementary materials for researchers to set up their own data donation pipelines.

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ChatDashboard: A Framework to collect, link, and process donated WhatsApp Chat Log Data

Kohne,

Montag

2023

Behav Res

Self Cite

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Digital Communication Landscapes on Language Learning Telecollaboration

Espejel

Concheiro

Pujolă

2023

Telecollaboration Applications in Foreign Language Classrooms

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This chapter explores WhatsApp interactions and the benefits of mobile instant messaging (MIM) in teaching and learning processes within the context of an inter-university telecollaboration project. From a cyberpragmatic framework, this study analyses how the participants communicate by taking advantage of the possibilities of the medium and considering its constraints, as well as how the creative use of the multimodal elements fosters the development of learners' communicative competence. After categorising the learning activities, a mixed-method analysis was performed to identify which multimodal elements were used and what pragmatic effects they had in the analysed WhatsApp conversations. Of these multimodal elements, emojis have been explored in greater depth owing to their pragmatic relevance in MIM. The results show a rich communication landscape in which multimodal elements play a significant role in generating conversation topics, establishing a friendly and safe learning atmosphere, facilitating communication, and providing language learning opportunities.

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A Practical Guide to WhatsApp Data in Social Science Research

Cited by 2 publications

References 57 publications

ChatDashboard: A Framework to collect, link, and process donated WhatsApp Chat Log Data

ChatDashboard: A Framework to collect, link, and process donated WhatsApp Chat Log Data

Digital Communication Landscapes on Language Learning Telecollaboration

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