As social media is widely adopted in collaborative learning that make team virtual, it is critical for teams to identify and leverage knowledge of team members. Yet little is known how social media influence teams to coordinate their knowledge and collaborate effectively. In this study, we investigate the roles of two kinds of social media activity—information processing and social connection i...

The popularity of image sharing on social media reflects the important role visual context plays in everyday conversation. In this paper, we present a novel task, ImageGrounded Conversations (IGC), in which natural-sounding conversations are generated about shared photographic images. We investigate this task using training data derived from image-grounded conversations on social media and intr...

BACKGROUND Since the emergence of social media in 2004, a growing percentage of patients use this technology for health related reasons. To reflect on the alleged beneficial and potentially harmful effects of social media use by patients, the aim of this paper is to provide an overview of the extant literature on the effects of social media use for health related reasons on patients and their r...

Social media are increasingly being used as a source of information during crises such as natural disasters and civil unrests. Nevertheless, there have been concerns about the quality and truthfulness of user-generated information. This study seeks to understand how users form trust in information on social media. Based on the elaboration likelihood model and the motivation, opportunity, and ab...

Social media are increasingly being used as a source of information during crises such as natural disasters and civil unrests. Nevertheless, there have been concerns about the quality and truthfulness of user-generated information. This study seeks to understand how users form trust in information on social media. Based on the elaboration likelihood model and the motivation, opportunity, and ab...

This paper describes a content-based analysis of Web-based travellers’ social media Websites. The proposed methodology is based on three levels of computer-mediated analysis, namely the lexical analysis, statistical analysis and semantic analysis. It is found that the use of systematic analysis of naturally occurring discussions in social media sites can lead to much stronger information about ...

The emergence of social media has brought up plenty of platforms where dissatisfied customers can share their service encounter experiences. Those customers’ feedbacks have been widely recognized as valuable information sources for improving service quality. Due to the sparse distribution of customer complaints and diversity of topics related to non-complaints in social media, manually identify...

During crises directly affected people and observers join social media communities to discuss the event. They may share information relevant to response coordination, for example, specific resource needs. However, responders face a massive data overload and lack the time to monitor social media traffic for important and trustworthy information. To address these challenges, response teams may at...

User defined keyword search have limitation in their results and deliverance based on first indications. They face a challenge against social media analysis. Searches based on user defined keyword results in poor quality and consumes more time. All relevant and irrelevant information present in a link becomes difficult for the users to extract. So, ontology is used for effective monitoring anal...

Social media, featuring rich user-generated information, is becoming an important component of daily life. It has also become a fertile ground for misinformation (inaccurate information) due to lack of quality control mechanisms. This study proposed and directly tested three predictor categories – personality, motivation, and perceived characteristic of information – to understand users’ misinf...