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Visiting Scholars' Seminar

Presenters: Jiao Ji, Ningping Jiang, Shuya Pan

Mar 16, 2017
from 12:00 PM to 01:00 PM

Kerr Hall 386

Presenter: Jiao Ji

Abstract: I am a PhD student from the Department of Science and Technology of Communication and Policy, at the University of Science and Technology of China. Now, I am a visiting student hosted by professor George A. Barnett. My research is focused on the quantitative thematic frame analysis for genetically modified food based on semantic network analysis and bag-of-words model, and currently I am working on the innovation flow of the gene editing technologies between public and private sectors. Biotechnologies that are used to produce genetically modified food are collection of innovations in plant breeding. Usually big firms and developed regions are the early adopters of the innovations. We want to study how these agricultural biotechnologies flow between the public and private sectors. Patent citation network analysis is applied here to study the innovation and knowledge flows of the biotechnology, and how the innovation flow patterns changes each year.

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Presenter: Ningping Jiang

Title: What did the public talk about Physicians? Some findings from text mining of Weibo

Abstract: In China, physician-patient relationships have been in highly tense state. So it is very meaningful to understand the doctor's impression in the public. This project is to find out what the public tweeted about Physicians on social media where most users are anonymous and how about the image of physician. With text mining skills I will share some findings based on sample collected from Weibo (like Twitter, the most popular social media in China).

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Presenter: Shuya Pan

Title: Wechat social behaviors and their impacts on the social capital processes among Chinese college students

Abstract: The study explores how a set of social activities enabled by Wechat would have influence on three types of social capital among 296 Chinese undergraduate students, including Wechat-enabled bonding social capital, Wechat-enabled bridging social capital, and offline social capital. The Wechat social behaviors include time on site, the number of total and actual Wechat friends, joined Wechat groups, weekly postings, and Wechat communication frequency. The result shows that Wechat communication frequency has a significant impact on bonding social capital; the number of weekly postings has a significant positive effect on bridging social capital; the number of actual Wechat friends and Wechat communication frequency have a significant effect on offline social capital. Meanwhile, based on previous research on Facebook use and social capital, the study also created two measures (Wechat attachment scale and Wechat relationship maintenance behaviors) and examined their specific roles on social capital processes. The results shows that these two variables have significant impacts on both bonding and bridging social capital, while only Wechat relationship maintenance behaviors was found to have significant effect on offline social capital. Finally, the study examined the moderating role of Wechat attachment on the significant relationships between Wechat use and social capital. The findings show that the effect of Wechat communication frequency on bonding social capital and offline social capital was stronger for those who were less attached to Wechat. The theoretical implications of the results are discussed.

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