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Articles 1 - 22 of 22
Full-Text Articles in Social and Behavioral Sciences
Strategic Insights: Think Before You Post: A Message To Those In Uniform, Heidi A. Urben
Strategic Insights: Think Before You Post: A Message To Those In Uniform, Heidi A. Urben
Articles & Editorials
No abstract provided.
Efficient Online Summarization Of Large-Scale Dynamic Networks, Qiang Qu, Siyuan Liu, Feida Zhu, Christian S. Jensen
Efficient Online Summarization Of Large-Scale Dynamic Networks, Qiang Qu, Siyuan Liu, Feida Zhu, Christian S. Jensen
Research Collection School Of Computing and Information Systems
Information diffusion in social networks is often characterized by huge participating communities and viral cascades of high dynamicity. To observe, summarize, and understand the evolution of dynamic diffusion processes in an informative and insightful way is a challenge of high practical value. However, few existing studies aim to summarize networks for interesting dynamic patterns. Dynamic networks raise new challenges not found in static settings, including time sensitivity, online interestingness evaluation, and summary traceability, which render existing techniques inadequate. We propose dynamic network summarization to summarize dynamic networks with millions of nodes by only capturing the few most interesting nodes or …
‘Tweetboard’ – A Case Study Of Developing A Micro-Blogging Platform For Higher Education, Shao Cheh Joyce Hsu, Gan, Benjamin, Jin Lee, Shu Hui Sheryl Lim, Xie Yan Jeremy Lim, Thomas Menkhoff, Si Xian Sherman Tan, Charles Jason Woodard, Qiu Cheng Yap
‘Tweetboard’ – A Case Study Of Developing A Micro-Blogging Platform For Higher Education, Shao Cheh Joyce Hsu, Gan, Benjamin, Jin Lee, Shu Hui Sheryl Lim, Xie Yan Jeremy Lim, Thomas Menkhoff, Si Xian Sherman Tan, Charles Jason Woodard, Qiu Cheng Yap
Research Collection School Of Computing and Information Systems
This paper reports experiences made at an Asian university in developing a social media platform based on Twitter in the context of a final year capstone project where information systems management students get an opportunity to solve ‘a real-world problem for a real client’. In this case study, the challenge was provided by a faculty member’s request for an interactive social media application which engages less outspoken students in class via a social medium they are familiar with: Twitter. We reconstruct the project’s evolution; describe the main features of the application called ‘TweetBoard’ and share lessons learned in developing a …
Detecting Community Pacemakers Of Burst Topic In Twitter, Guozhong Dong, Wu Yang, Feida Zhu, Wei Wang
Detecting Community Pacemakers Of Burst Topic In Twitter, Guozhong Dong, Wu Yang, Feida Zhu, Wei Wang
Research Collection School Of Computing and Information Systems
Twitter has become one of largest social networks for users to broad-cast burst topics. Influential users usually have a large number of followers and play an important role in the diffusion of burst topic. There have been many studies on how to detect influential users. However, traditional influential users detection approaches have largely ignored influential users in user community. In this paper, we investigate the problem of detecting community pacemakers. Community pacemakers are defined as the influential users that promote early diffusion in the user community of burst topic. To solve this problem, we present DCPBT, a framework that can …
What 100,000 Tweets About The Volkswagen Scandal Tell Us About Angry Customers, Vanitha Swaminathan, Suyun Mah
What 100,000 Tweets About The Volkswagen Scandal Tell Us About Angry Customers, Vanitha Swaminathan, Suyun Mah
Research Collection Lee Kong Chian School Of Business
In September 2015 the Environmental Protection Agency found that many Volkswagen cars sold in the United States were equipped with software that could falsely improve the performance of diesel engines on emissions tests. This cheating was subsequently acknowledged by the car maker.Among the many issues at stake for the company was one of public perception. Anecdotal evidence at the time of the incident suggested irreparable harm to the Volkswagen brand. So could Volkswagen recover in the short term in this regard? And, the broader question, how can you measure brand perception in times of scandal, particularly in an era where …
What Goes Up Must Not Come Down: The Tweet Retraction Process Of Politicians, Paige Settles
What Goes Up Must Not Come Down: The Tweet Retraction Process Of Politicians, Paige Settles
Mahurin Honors College Capstone Experience/Thesis Projects
In 2011, Congressman Anthony Weiner demonstrated the risks politicians face when utilizing Twitter. While past scholarship regarding Twitter has focused on the impact of the tweets candidates share with their voters, academic attention has not been afforded to the tweets candidates delete. This thesis seeks to delve further into the analysis of Twitter as a political campaign tool by examining the practice of tweet retraction. To achieve this end, this research presents two studies. The first analyzes the deleted tweets of members of the 112th Congress between May and November of 2012 in terms of quantity of retractions and the …
Social Media Information And Analyst Forecasts, Mahfuja Malik, Rajib Hasan, Abu S. Amin
Social Media Information And Analyst Forecasts, Mahfuja Malik, Rajib Hasan, Abu S. Amin
WCBT Faculty Publications
In the past decade, social networking has changed the landscape of information dissemination. The rapid diffusion of social media services such as Facebook and Twitter is unprecedented and offers immense possibilities for corporations to communicate with, and engage core stakeholders in, various business decisions. In this study, we investigate whether social media play any role as a source of information for financial analysts. We specifically focus on information revealed on the official Facebook pages of S&P 500 firms. We define information content on a Facebook page as the total number of posts by the corporations and the comments, likes and …
Latinotwitter: Discourses Of Latino Civic Engagement In Social Media, Alison N. Novak, Kristine C. Johnson, Manuel Pontes
Latinotwitter: Discourses Of Latino Civic Engagement In Social Media, Alison N. Novak, Kristine C. Johnson, Manuel Pontes
College of Communication & Creative Arts Faculty Scholarship
Twitter, like other social media platforms, has been identified as a space for cultural groups to debate political ideologies, engage civically, and even form action strategies for social change. Since 2014, the #LatinoTwitter hashtag has been used by Latino users for these purposes. Despite the popularity of the hashtag, few studies have examined it or its users. This study provides the results of a discourse analysis of the 31,000 tweets from 2014–2016 that use the hashtag. The findings indicate Twitter has become a popular platform for Latinos to debate political issues, find parity between ethnic communities, and even promote Latino-centered …
Extending The Network: The Influence Of Offline Friendship On Twitter Network, Young Soo Kim, Kyungsub Stephen Choi, Felicia Natali
Extending The Network: The Influence Of Offline Friendship On Twitter Network, Young Soo Kim, Kyungsub Stephen Choi, Felicia Natali
Research Collection School Of Computing and Information Systems
Twitter effectively provides a communication platform that allows users to strengthen or augment relationships with their close ones. It is a common scene to see groups of people in continuing group communication from offline to online using tools such as Twitter. Furthermore, it is also possible to meet new friends via online encounter. Under these circumstances, there would be friends who are both offline and online, or only in online. Many of earlier Twitter network studies focused on the network effects’ direction going from online to offline network. This paper explores the opposite direction, going from offline to online network. …
Can Instagram Posts Help Characterize Urban Micro-Events?, Kasthuri Jayarajah, Archan Misra
Can Instagram Posts Help Characterize Urban Micro-Events?, Kasthuri Jayarajah, Archan Misra
Research Collection School Of Computing and Information Systems
Social media content, from platforms such as Twitter and Foursquare, has enabled an exciting new field of social sensing, where participatory content generated by users has been used to identify unexpected emerging or trending events. In contrast to such text-based channels, we focus on image-sharing social applications (specifically Instagram), and investigate how such urban social sensing can leverage upon the additional multi-modal, multimedia content. Given the significantly higher fraction of geotagged content on Instagram, we aim to use such channels to go beyond identification of long-lived events (e.g., a marathon) to achieve finer-grained characterization of multiple micro-events (e.g., a person …
The Agenda Setting Effects Of Cnn’S Twitter In The 2016 Super Tuesday Primaries, Joy Huertas
The Agenda Setting Effects Of Cnn’S Twitter In The 2016 Super Tuesday Primaries, Joy Huertas
Masters Theses
Governmental fall downs, electoral outcomes, terrorism propaganda, and climate change awareness are just some of the commonly known results of the effects of news media coverage on the public opinion and society as a whole. For years, researchers have utilized the agenda setting theory as a basis for their studies on the effects of the news media coverage on the public opinion in countless of contexts. The purpose of this study was to analyze the agenda setting effects of a major broadcast news organization but from one of their most influential social media channels, Twitter. CNN’s daily Twitter mentions of …
Collective Rumor Correction On The Death Hoax Of A Political Figure In Social Media, Alton Y. K. Chua, Sin-Mei Cheah, Dion Hoe-Lian Goh, Ee-Peng Lim
Collective Rumor Correction On The Death Hoax Of A Political Figure In Social Media, Alton Y. K. Chua, Sin-Mei Cheah, Dion Hoe-Lian Goh, Ee-Peng Lim
Research Collection School Of Computing and Information Systems
Conversations on social media networks that discuss a crisis incident as it unfolds have become a norm in recent years. Left to its own devices, such conversations could quickly degenerate into rumor mills. Little research has thus far examined the correction of rumors on social media. Using the third person effect as a theoretical underpinning, we developed a model of collective rumor correction on social media based on an incident surrounding the death hoax of a political figure. Tweets from Twitter were collected and analyzed for the period when a spike of circulating rumors speculating the demise of Singapore's first …
#Greysanatomy Vs. #Yankees: Demographics And Hashtag Use On Twitter, Jisun An, Ingmar Weber
#Greysanatomy Vs. #Yankees: Demographics And Hashtag Use On Twitter, Jisun An, Ingmar Weber
Research Collection School Of Computing and Information Systems
Demographics, in particular, gender, age, and race, are a key predictor of human behavior. Despite the significant effect that demographics plays, most scientific studies using online social media do not consider this factor, mainly due to the lack of such information. In this work, we use state-of-the-art face analysis software to infer gender, age, and race from profile images of 350K Twitter users from New York. For the period from November 1, 2014 to October 31, 2015, we study which hashtags are used by different demographic groups. Though we find considerable overlap for the most popular hashtags, there are also …
Make A Twitter Bot In Python: Iterative Code Examples, Robin Camille Davis, Mark E. Eaton
Make A Twitter Bot In Python: Iterative Code Examples, Robin Camille Davis, Mark E. Eaton
Publications and Research
A tutorial based upon the LACUNY Emerging Technologies Committee’s “Build Your Own Twitter Bot” day in December 2015, which was billed as a gentle introduction to programming in Python.
Learning To Find Topic Experts In Twitter Via Different Relations, Wei Wei, Gao Cong, Chunyan Miao, Feida Zhu, Guohui Li
Learning To Find Topic Experts In Twitter Via Different Relations, Wei Wei, Gao Cong, Chunyan Miao, Feida Zhu, Guohui Li
Research Collection School Of Computing and Information Systems
Expert finding has become a hot topic along with the flourishing of social networks, such as micro-blogging services like Twitter. Finding experts in Twitter is an important problem because tweets from experts are valuable sources that carry rich information (e.g., trends) in various domains. However, previous methods cannot be directly applied to Twitter expert finding problem. Recently, several attempts use the relations among users and Twitter Lists for expert finding. Nevertheless, these approaches only partially utilize such relations. To this end, we develop a probabilistic method to jointly exploit three types of relations (i.e., follower relation, user-list relation and list-list …
Ranking Of High-Value Social Audiences On Twitter, Siaw Ling Lo, Raymond Chiong, David Cornforth
Ranking Of High-Value Social Audiences On Twitter, Siaw Ling Lo, Raymond Chiong, David Cornforth
Research Collection School Of Computing and Information Systems
Even though social media offers plenty of business opportunities, for a company to identify the right audience from the massive amount of social media data is highly challenging given finite resources and marketing budgets. In this paper, we present a ranking mechanism that is capable of identifying the top-k social audience members on Twitter based on an index. Data from three different Twitter business account owners were used in our experiments to validate this ranking mechanism. The results show that the index developed using a combination of semi-supervised and supervised learning methods is indeed generic enough to retrieve relevant audience …
U.S. State Education Agencies’ Use Of Twitter: Mission Accomplished?, Yinying Wang
U.S. State Education Agencies’ Use Of Twitter: Mission Accomplished?, Yinying Wang
Educational Policy Studies Faculty Publications
This study examined how Twitter was used by all U.S. state education agencies (SEAs) for public engagement in education. Drawing on the ecological model of communication, this study analyzed the latest 71,913 tweets from 40 SEAs that had official Twitter accounts. The results of correlation analysis indicate no significant relationship between the SEAs’ presence on Twitter and the SEAs’ targeted Twitter users, denoting that the SEAs’ well-intentioned efforts in communicating with stakeholders and the public by using Twitter might fall short of the public’s preferable medium for receiving information. In addition, the results of content analysis suggest that the SEAs …
Investigating The Influence Of Offline Friendship On Twitter Networking Behaviors, Young Soo Kim, Felicia Natali, Feida Zhu, Ee-Peng Lim
Investigating The Influence Of Offline Friendship On Twitter Networking Behaviors, Young Soo Kim, Felicia Natali, Feida Zhu, Ee-Peng Lim
Research Collection School Of Computing and Information Systems
We investigate the influence of offline friendship in three specific areas of Twitter networking behaviors: (a) network structure, (b) Twitter content and (c) interaction on Twitter. We observe some interesting findings through the empirical analysis of 2193 pairs of users who are online friends. When these pairs of users know each other offline, they are more likely to (1) respond to the online gesture of friendship from their friend, (2) share mutual online friends, (3) distribute and gather information in their friend’s Twitter network, (4) pay attention to their friend’s tweets, (5) post tweets that might be of interest to …
Friendship Maintenance And Prediction In Multiple Social Networks, Roy Ka-Wei Lee, Ee-Peng Lim
Friendship Maintenance And Prediction In Multiple Social Networks, Roy Ka-Wei Lee, Ee-Peng Lim
Research Collection School Of Computing and Information Systems
Due to the proliferation of online social networks (OSNs), users find themselves participating in multiple OSNs. These users leave their activity traces as they maintain friendships and interact with other users in these OSNs. In this work, we analyze how users maintain friendship in multiple OSNs by studying users who have accounts in both Twitter and Instagram. Specifically, we study the similarity of a user's friendship and the evenness of friendship distribution in multiple OSNs. Our study shows that most users in Twitter and Instagram prefer to maintain different friendships in the two OSNs, keeping only a small clique of …
A Model Of Social Media Engagement: User Profiles, Gratifications, And Experiences, Lori Mccay-Peet, Anabel Quan-Haase
A Model Of Social Media Engagement: User Profiles, Gratifications, And Experiences, Lori Mccay-Peet, Anabel Quan-Haase
FIMS Publications
No abstract provided.
Gaining S-T-E-A-M: A General Athletic Department Social Media Strategy, Brendan O'Hallarn, Craig A. Morehead, Shana L. Pribesh
Gaining S-T-E-A-M: A General Athletic Department Social Media Strategy, Brendan O'Hallarn, Craig A. Morehead, Shana L. Pribesh
Educational Leadership & Workforce Development Faculty Publications
In the 10 years since the invention of Facebook, social media sites have become an indispensable part of the marketing and communications strategy employed by a broad spectrum of organizations, including university athletic departments. While social media is almost universally used, a review of academic literature suggests the study of deployment of social media resources, and analysis of their effectiveness, is still very much in preliminary stages. Professional literature on social media use is out in front of peer-reviewed research. Therefore, we use Funk’s framework for social media practices as a point of departure, offering a social media strategy specifically …
Viability Of Using Twitter To Support Peer Instruction In Teacher Education, Tian Luo, Danielle E. Dani, Li Cheng
Viability Of Using Twitter To Support Peer Instruction In Teacher Education, Tian Luo, Danielle E. Dani, Li Cheng
STEMPS Faculty Publications
This paper reports on a case study in which Twitter served as a backchannel to mediate and support the peer-teaching activity in a face-to-face teacher education course. Surveys and interviews were utilised to understand the effectiveness of the Twitter integration and students' perceived learning in a Twitter-supported peer teaching environment. Tweets were used to determine how preservice teachers used Twitter to support peer instruction. Most students were able to use the Twitter platform to produce and retrieve peer feedback, while some encountered technical difficulties. Our current analysis suggests the Twitter-based peer feedback was moderately successful in this peer teaching activity. …