33 research outputs found

    Tracking virality and susceptibility in social media

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    Microblogging content propagation modeling using topic-specific behavioral factors

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    Singapore National Research Foundatio

    Retweeting: An act of viral users, susceptible users, or viral topics?

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    Modeling topics and behavior of microbloggers: An integrated approach

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    National Research Foundation (NRF) Singapore under International Research Centre @ Singapore Funding Initiativ

    Virality and susceptibility in information diffusions

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    Viral diffusion allows a piece of information to widely and quickly spread within the network of users through word-ofmouth. In this paper, we study the problem of modeling both item and user factors that contribute to viral diffusion in Twitter network. We identify three behaviorial factors, namely user virality, user susceptibility and item virality, that contribute to viral diffusion. Instead of modeling these factors independently as done in previous research, we propose a model that measures all the factors simultaneously considering their mutual dependencies. The model has been evaluated on both synthetic and real datasets. The experiments show that our model outperforms the existing ones for synthetic data with ground truth labels. Our model also performs well for predicting the hashtags that have higher retweet likelihood. We finally present case examples that illustrate how the models differ from one another

    Facebook Live-Streaming: How It Affect the Purchase Intention of Generation Y in Malaysia?

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    Today, people use social media for communicating and browsing the internet during their spare time. Additionally, people are using social media as a means of leisure during their free time. When Facebook launched its Facebook Live streaming application in 2016, the phenomenon created new opportunities for marketers. Recently, Facebook Live streaming is getting popular among companies in promoting their products and services. This research aims to investigate the factors that influence consumers’ purchase intention using Facebook Live streaming. The dependent variable of this study is the purchase intention whereas the independent variable is the attitude towards the broadcasters, interactivity, peer influence, perceived risk and product quality. There were 200 Generation Y respondents from whom information was collected via Facebook using a questionnaire. The result of the study showed that attitude and peer influence affect the consumer purchase intention when watching Facebook Live. This study gives marketers insight into improving their strategies in influencing consumer purchase intention when using Facebook Live streaming

    On analyzing user topic-specific platform preferences across multiple social media sites

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    Singapore National Research Foundation under International Research Centres in Singapore Funding Initiativ
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