Page 88 - JOURNAL OF LIBRARY SCIENCE IN CHINA 2018 Vol. 44
P. 88

YAN Hui / Fuel in the snowy weather or icing on the cake? Exploration of social network’s value in alleviation of digital poverty  087


               digital tools, social support, digital capabilities and efforts in specific situations.
                 Among the fourteen composite cases of two digital poverty types, there are seven cases actively
               seeking help from social networks, and strong ties are used in six cases of the seven to seek help.
               The scenarios include: an old male teacher surnamed Yu in HFX village in Tianjin asked young
               teachers in the office to help him print materials, a female resident surnamed Wang in TH village
               in Tianjin got a computer as dowry when she got married, a male resident surnamed Ma in TH
               village in Tianjin asked his neighbor to help him change 360   antivirus software into King soft and
               then successfully killed the virus when his computer got a virus, an operator of grape greenhouses
               surnamed Han in CKY village in Gansu asked his grandson to search for examples of successfully
               killing grape pests through Baidu, a female resident surnamed Wu in LY town in Hunan was
               provided with help by her husband to make QQ video chat with her daughter, and a middle-aged
               female resident asked her son to help her search for medical information. In the case of seeking
               help through weak ties, a student surnamed Tang in KL village in Gansu sought professional help
               by email from the author several times since we met in the field study. Strong ties reduced the
               degree of physical poverty, digital ability, social impact and social support.
                 Among the thirty-six cases of single type of digital poverty, twenty cases provided examples
               of successfully seeking help from social networks to reduce digital poverty. Strong ties were
               employed to seek help in twelve cases of the twenty, and weak ties were used in eight. The
               scenarios for strong ties include: A neighbor’s kid of a male resident surnamed Chen in MF village
               in Anhui helped him send messages by his mobile phone, four boys surnamed Wang, Li, Lin
               and Zhu and a girl surnamed Wang in TH village in Tianjin were provided by their father, uncle,
               aunt and other elders with computers and places for them to play games, watch videos and TV
               shows for the first time, a male resident surnamed Yan in HD village in Gansu was provided with
               a computer for use in his friend’s shop, a middle-aged female worker in YP town in Chongqing
               let her nine-year-old son go to his classmate’s home to use computer, a self-employed boss in LY
               town in Hunan recommended mobile news to peers, a doctor in LY town in Hunan asked his friend
               to help him make video chat, a male resident surnamed Luo in downtown Chongqing helped his
               friend install stock software, and a female resident surnamed Zhao in TH village in Tianjin sought
               help from her brother-in-law’ colleague to kill virus. Strong ties in the above cases reduced degree
               of poverty in digital tools, digital ability, digital effort, social support and social impact. In one case
               of weak ties in this group, the boss of an Internet bar in LY town in Hunan helped his customer to
               start computer, and in the other seven cases of weak ties, individuals were unable to find effective
               strong ties within their own social networks, and then turned to sellers of computer and mobile
               phone or communication operators for after-sales service.
                 Analyzing the relationships between the seven groups of the composite digital poor and social
               networks, the more types of digital poverty overlap, the less likely digital poor people are to seek
               help from social networks, and even if they seek help, they will prefer strong ties. The fewer types
               of digital poverty overlap, the more likely they are to seek help through weak ties.
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