In social media effects research, the role of specific social media content is understudied, in
part attributable to the fact that communication science previously lacked methods to access …

With digital communication increasingly shifting to mobile devices, communication research
needs to explore ways to retrieve, process, and analyze digital trace data on people's most …

The sequencing of information in media can influence processing of content via
mechanisms like framing, mood management, and emotion regulation. This study examined …

Graphical User Interface (GUI) has become one of the most significant parts of mobile
applications (apps). It is a direct bridge between mobile apps and end users, which directly …

Context sensing on smartphones is often used to understand user behaviour. Amongst the
many available sensors, the collection of text is crucial due to its richness. However …

The concept of the Internet of Things (IoT) integrated with embedded system and new
technologies in the healthcare sector has opened a new era. The natural decrease in …

Extracting metadata from scholarly papers is an important text mining problem. Widely used
open-source tools such as GROBID are designed for born-digital scholarly papers but often …

This article conducts a discourse analysis of continuously collected screenshot data
capturing responses from US mobile users and their broader ecosystems to a series of …

This chapter focuses on the analysis of longitudinal panel data using growth curve models to
examine trajectories of development over time and two data mining approaches that attempt …

The number of Android smartphones has grown in recent years, generating more than
twenty thousand builds daily in our industry. Expert testers manually evaluate system builds …