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Building and breaking social media habits.
Joseph B Bayer1, Ian A Anderson2, Robert S Tokunaga3
1School of Communication, The Ohio State University, Columbus, USA; Translational Data Analytics Institute, The Ohio State University, Columbus, USA.
This study examines social media habits, detailing their positive and negative aspects. Understanding the multi-level components of these habits is crucial for well-being and digital tracking.
Area of Science:
- Psychology
- Human-Computer Interaction
- Digital Well-being
Background:
- Social media habits are prevalent and debated behaviors in modern society.
- Existing research on technology habits lacks a detailed breakdown of social media usage patterns.
Purpose of the Study:
- To synthesize current research on social media habits.
- To propose a multi-level framework for analyzing social media behaviors.
- To explore future directions for detecting and managing habitual social media use.
Main Methods:
- Literature review of social media habit research.
- Deconstruction of social media habits into five analytical levels: platform, device, interface, behavior, and motor.
- Anticipation of future research and design possibilities using digital tracking.
Main Results:
- Social media habits encompass a broad spectrum of positive and negative behaviors.
- A multi-level analytical framework (platform, device, interface, behavior, motor) can dissect social media habits.
- Digital tracking offers potential for identifying (un)healthy habitual processes.
Conclusions:
- Breaking down social media habits into their constituent components is essential for understanding their impact on well-being.
- Future research should leverage digital tracking to monitor and potentially influence habitual social media engagement.
- A nuanced understanding of social media habits is needed to promote healthier technology use.
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