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YAN Hui / Fuel in the snowy weather or icing on the cake? Exploration of social network’s value in alleviation of digital poverty  081


               it should be a priority for information professionals to give attention to social equity, especially
               digital poverty. Digital poverty is a new form of poverty caused by information and communication
               technology acting on agents (H.Yan & X.M.Yan, 2014). It is interwoven with traditional poverty,
               and also enhances the complexity of poverty and information problems. It is a new phenomenon and
               challenge with which information professionals and poverty alleviation workers are confronted.


               1  Research method

               Based on the author’s previous research, core elements of digital poverty are described as digital
               tools, digital services, digital psychology, digital ability, digital efforts, digital social norms, digital
               social support, and digital impacts. On this basis, field study data are used to classify digital poor
               communities into the physically poor, the digitally illiterate, the psychologically vulnerable, the
               socially lonely, the digitally idle, digital resisters, vain seekers, and the digital extremely poor
               (H.Yan, 2017). This paper aims to answer the following questions: How are different types of
               digital poverty phenomena translated on social individuals? What are the specific effects of
               social networks on reducing digital poverty of different degrees in the practice of digital poverty
               alleviation? For what sort of digital poor people are social networks as fuel in the snowy weather?
               And for what sort are social networks as icing on the cake?
                 The role that social factors play in the formation and development of digital inequality,
               especially the changes of digital poverty phenomena under the influence of various social factors
               have been of great concern. Among the various factors, social position (Van Dijk, 2005), emotional
               support and encouragement (Dimaggio, Hargittai, Celeste, & Shafer, 2004;Hargittai, 2003),
               social networks (Kvasny, 2002; Stroope, 2008), technical assistance (Alvarez, 2003), common
               experience (Hargittai, 2008), social institutional environment (Cartier, Castells, & Qiu, 2005;
               Levinson & Hervy, 2004; Ho & Tseng, 2006), and social capital (Wang & H.Yan, 2013;H.Yan
               & Hong, 2014) are obviously effective. In a community setting, social capital and social networks
               have a positive impact on community members and community organizations’ access to and use of
               Information and Communication Technology (ICT), especially bonding social capital and strong
               ties can help community organizations use ICT more widely (Williams, 2005). Weak ties in social
               networks are also very prominent in the era of Internet. For example, under the promotion of the
               social media Sina Weibo, the non-governmental education-aid organization “Micro Charity” (Kuang
               & Huang, 2017) in northwest Hunan province fully utilizes weak ties to match philanthropic
               resources dispersed on the Internet and needy students in order to achieve better results in poverty
               alleviation. At present, the influence of strong and weak ties in social networks on digital poor
               people’s active action to reduce poverty has not been studied in a targeted manner.
                 Based on the perspectives of Mark Granovetter (1973), Lin Nan (2001), and Andrea Kavanaugh
               (1999) on social networks, strong ties in this paper are defined as connections between nodes that can
               provide support and help mutually inhomogeneous communities in which people may often meet each
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