New time-based model to identify the influential users in online social networks

Public opinion information dissemination in mobile social networks – taking Sina Weibo as an example

Purpose

Social media, especially microblog, has become one of the most popular platforms for public opinion dissemination. However, so far few studies have been conducted to explore information dissemination under the mobile environment. This paper aims to introduce the approach to analyze the public opinion information dissemination in mobile social networks.

Design/methodology/approach

This paper chooses “network attack” as the research topic and extracts 23,567 relevant messages from Sina Microblogs to study the structure of nodes for public opinion dissemination and the characteristics of propagation paths on mobile internet. Public opinion dissemination is compared on both mobile and non-mobile terminals.

Findings

The results reveal the characteristics of public opinion dissemination in mobile environment and identify three patterns of information propagation path. This study concludes that public opinion on mobile internet propagates more widely and efficiently and generates more impact than that on the non-mobile internet.

Social implications

The methods used in this study can be useful for the government and other organizations to analyze and identify problems in online information dissemination.

Originality/value

This paper explores the mechanism of public opinion dissemination on mobile internet in China and further investigates how to improve public opinion management through a case study related to “network attack.”

The influence of the diffusion of food safety information through social media on consumers’ purchase intentions

Purpose

The purpose of this paper is to investigate how the diffusion of food safety information through social media affects customers’ purchase intentions in China. This leads to the identification of the critical factors that impact the purchase intention of individual consumer through the diffusion of food safety information using social media in China.

Design/methodology/approach

A research model is proposed based on a comprehensive review of the related studies. Such a model is then tested and validated using structural equation modeling based on the survey of 199 individuals who have experience in purchasing food products online while having social media accounts.

Findings

The study reveals that friend recommendation and perceived risk directly affect consumers’ purchase intentions and opinion leader recommendation, quality of information, credibility of information and demand for information indirectly affect consumers’ purchase intentions through the diffusion of food safety information using social media in China.

Originality/value

This study is the first of this kind in China for exploring the critical factors that affect consumers’ purchase intentions through the diffusion of food safety information using social media. The findings of the study are significant for the government and food enterprises to make a full use of the advantages of social media to improve the communication of food safety information in ensuring the safety of the food supply in China.