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Ranking Influential Nodes Of Fake News Spreading On Mobile Social Networks, Yunfei Xing, Xiwei Wang, Fang-Kwei Wang, Yang Shi, Wu He, Haowu Chang
Ranking Influential Nodes Of Fake News Spreading On Mobile Social Networks, Yunfei Xing, Xiwei Wang, Fang-Kwei Wang, Yang Shi, Wu He, Haowu Chang
Information Technology & Decision Sciences Faculty Publications
Online fake news can generate a negative impact on both users and society. Due to the concerns with spread of fake news and misinformation, assessing the network influence of online users has become an important issue. This study quantifies the influence of nodes by proposing an algorithm based on information entropy theory. Dynamic process of influence of nodes is characterized on mobile social networks (MSNs). Weibo (i.e., the Chinese version of microblogging) users are chosen to build the real network and quantified influence of them is analyzed according to the model proposed in this paper. MATLAB is employed to simulate …
Life Beyond The Like: Uses & Gratifications Of Sharing Business Facebook Page Content, Sara M. Nash
Life Beyond The Like: Uses & Gratifications Of Sharing Business Facebook Page Content, Sara M. Nash
College of Journalism and Mass Communications: Theses
One of the main reasons businesses create a Facebook Page is to solidify relationships with existing customers who are Facebook users and to leverage those relationships to gain new customers. Many studies have asked Facebook users to articulate the gratifications they receive when “liking” a business Facebook Page. These studies help explain what gratifications users gain by connecting to businesses via Facebook. To expand on these findings, the current pilot study applied the uses and gratifications theory to identify Facebook users’ motivations to “share” business Facebook content within their own personal network. Understanding users’ reasons for “sharing” will help businesses …