Previous studies regarding social interactions commonly adopt research methods that investigate causal relationships between variables. The existing approaches often utilize variables derived from general contexts, aiming to apply them universally across diverse situations. However, social interactions, including the usage of social media, are intricately woven within the immediate social context. The interpretability of these generalized variables has been attenuated by the dynamic and transient nature of social contexts; these variables have diverse impacts on social interactions. Consequently, researchers have been diligently seeking new variables relevant to specific social contexts in order to complement the existing generalized ones. However, the ever-changing nature of social contexts poses a challenge, impeding researchers from exhaustively defining all variables that influence social interactions. To address this complexity, this study proposes social network analysis as a suitable research method capable of capturing the ever-evolving dynamics of social interactions, including social media usage. Furthermore, this study puts forth hypotheses that specifically explore the role of individual social networks in social media research, with the aim of stimulating future investigations that center on the interactive and dynamic nature of social media usage.

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Today, social media are frequently associated with the propagation of defamation, which is believed to impact society negatively. Most of this fake news originates via Whatsapp, Twitter, and Telegram applications, indicating that this social media facility that facilitates the transmission of fake news continues to exist.This study aims to explore and understand the style of news writing in preventing fake news on digital media platform devoted to news literacy from the perspective of a media practitioner. The debate will focus mostly about fake news and the appropriate journalistic methodology for reporting on digital news sites. Identifying the factors that influence the evolution of the style of journalism on digital media is a further crucial endeavour. The objectives of the study were achieved through the use of semi-structured qualitative interviews. In-depth interviews were conducted with ten media professionals until the data set was saturated. According to the findings of the study, data journalism is the news writings styles that can aid in the prevention of “fake news” in digital media. In addition, research demonstrates that data journalism is characterised by data capture, graphics, and visualisation. This study seeks to contribute to the existing body of knowledge by demonstrating how the expansion of journalistic style on online news websites has made new journalistic practises relevant.

This paper explores the multifaceted role of emojis in digital communication, particularly on social media platforms. Emojis, evolving from their inception in 1997 as pictorial symbols, have become integral to modern communication practices, transcending linguistic and cultural barriers. They facilitate nuanced expressions, emotional conveyance, and cultural representations, enriching interactions across diverse online environments. Drawing on the Uses and Gratifications Theory, this study examines how emojis fulfill specific user needs, enhance social interactions, and influence self-disclosure behaviors.

WeChat has become the most popular type of social media among youngsters in China. They use it for various reasons including communicating in intimate relationships. This study aims to investigate the impact of the density of individuals’ social networks on WeChat Usage in Intimate Relationships among Chinese youngsters, guided by the Theory of Planned Behaviour (TPB). An online questionnaire was constructed and disseminated to respondents online. In total, 923 undergraduate students from Chinese universities completed the questionnaires. Utilizing Structural Equation Modelling, findings show that the density of individuals’ social networks has a limited impact on WeChat usage. On the other hand, TPB factors such as subjective norms and perceived control bring a substantial impact on WeChat usage, while attitude has a less significant impact. These results indicate that Chinese youngsters exhibit strong attributes of the collective culture. This study also suggests that future social media research should place more emphasis on cultural and social factors.