Matching Items (3)
Filtering by
- All Subjects: Online social networks
- Creators: Wise, Greg
Description
Over 2 billion people are using online social network services, such as Facebook, Twitter, Google+, LinkedIn, and Pinterest. Users update their status, post their photos, share their information, and chat with others in these social network sites every day; however, not everyone shares the same amount of information. This thesis explores methods of linking publicly available data sources as a means of extrapolating missing information of Facebook. An application named "Visual Friends Income Map" has been created on Facebook to collect social network data and explore geodemographic properties to link publicly available data, such as the US census data. Multiple predictors are implemented to link data sets and extrapolate missing information from Facebook with accurate predictions. The location based predictor matches Facebook users' locations with census data at the city level for income and demographic predictions. Age and relationship based predictors are created to improve the accuracy of the proposed location based predictor utilizing social network link information. In the case where a user does not share any location information on their Facebook profile, a kernel density estimation location predictor is created. This predictor utilizes publicly available telephone record information of all people with the same surname of this user in the US to create a likelihood distribution of the user's location. This is combined with the user's IP level information in order to narrow the probability estimation down to a local regional constraint.
ContributorsMao, Jingxian (Author) / Maciejewski, Ross (Thesis advisor) / Farin, Gerald (Committee member) / Wang, Yalin (Committee member) / Arizona State University (Publisher)
Created2012
Description
Numerous studies have examined the attachments individuals have to the places they visit, and that those attachments are formed through experiencing a place in person. This study is unique in that it examines pre-trip place attachment formation via the use of mobile technology and social media. It proposes that media experienced through the use of a participant's smartphone can foster the development of positive emotions, which in turn, facilitates greater mental imagery processing that ultimately influences pre-trip place attachment formation. An experimental design was constructed to examine how text and video on a destination's Facebook page influences an individual's emotions, mental imagery, and subsequently attachment to that destination. Specifically, a 2 (narrative text vs. descriptive text) x 2 (short, fast-paced video vs. long, slow-paced video) between-subjects design was used. A total of 343 usable participant responses were included in the analysis. The data was then analyzed through a two-step process using structural equation modeling. Results revealed no significant influence of textual or video media on emotions although the choice in text has a greater influence on emotions than choice in video. Additionally, emotions had a significant impact on mental imagery. Finally, mental imagery processing had a significant impact on only the social bonding dimension of place attachment. In conclusion, while media had no significant impact on emotions, the effect of previous traveler's retelling of personal accounts on the emotions of potential travelers researching a destination should be examined more closely. Further, the study participants had no prior experience with the destination, yet emotions influenced mental imagery, which also influenced social bonding. Thus further research should be conducted to better understand how potential traveler's image of a destination can be affected by the stories or others.
ContributorsPlunkett, Daniel (Author) / Budruk, Megha (Thesis advisor) / Lee, Woojin (Thesis advisor) / Wetmore, Jameson (Committee member) / Wise, Greg (Committee member) / Arizona State University (Publisher)
Created2013
Description
Although the social network site (SNS) Facebook achieved great success around the world, in China, it was over taken by the local website Kaixin001. Using comparative analysis and interviews, this thesis compared the architecture of the two websites and Chinese users' attitude towards them. From one side, the result indicates that they are almost the same, but not quite. Kaixin001 is a copycat which adapts to local cultures and political regulations. From the other side, the research also highlights that people associate Kaixin001 with a game platform rather than a social tool. It suggests that there are two layers of digital divide: access and utilization. Chinese users can not get equal access because of the Great Firewall. At the same time, unlike western users, they are fond of playing games, listening music and other functions, rather than creating original content or building social capital. Therefore, the SNS utilization is not equal. Because of regulations and self-surveillance, their SNS use is enjoying the apolitical does not challenge the Chinese state. At the end of the thesis, the author points out the limitations of this research. As Internet-mediated qualitative research, this study lacks extended time and samples to explore the SNSs in global context. Further research is needed to collect extended samples. Moreover, the users' dependence on social network websites may be addressed to seek more comprehensive and deeper understanding of SNS.
ContributorsQin, Yuchun (Author) / Wise, Greg (Thesis advisor) / Kassing, Jeffrey (Committee member) / Waldron, Vincent (Committee member) / Mean, Lindsey (Committee member) / Arizona State University (Publisher)
Created2011