Social Media Commons^™

Interactive Social Recommendation, Xin Wang, Steven C. H. Hoi, Chenghao Liu, Martin Ester

Research Collection School Of Computing and Information Systems

Social recommendation has been an active research topic over the last decade, based on the assumption that social information from friendship networks is beneficial for improving recommendation accuracy, especially when dealing with cold-start users who lack sufficient past behavior information for accurate recommendation. However, it is nontrivial to use such information, since some of a person's friends may share similar preferences in certain aspects, but others may be totally irrelevant for recommendations. Thus one challenge is to explore and exploit the extend to which a user trusts his/her friends when utilizing social information to improve recommendations. On the other hand, …

An Analysis Of Rumor And Counter-Rumor Messages In Social Media, Dion Hoe-Lian Goh, Alton Y. K. Chua, Hanyu Shi, Wenju Wei, Haiyan Wang, Ee-Peng Lim

Research Collection School Of Computing and Information Systems

Social media platforms are one of the fastest ways to disseminate information but they have also been used as a means to spread rumors. If left unchecked, rumors have serious consequences. Counter-rumors, messages used to refute rumors, are an important means of rumor curtailment. The objective of this paper is to examine the types of rumor and counter-rumor messages generated in Twitter in response to the falsely reported death of a politician, Lee Kuan Yew, who was Singapore’s first Prime Minister. Our content analysis of 4321Twitter tweets about Lee’s death revealed six categories of rumor messages, four categories ofcounter-rumor messages …

Tweet Geolocation: Leveraging Location, User And Peer Signals, Wen-Haw Chong, Ee Peng Lim

Research Collection School Of Computing and Information Systems

Which venue is a tweet posted from? We referred this as fine-grained geolocation. To solve this problem effectively, we develop novel techniques to exploit each posting user's content history. This is motivated by our finding that most users do not share their visitation history, but have ample content history from tweet posts. We formulate fine-grained geolocation as a ranking problem whereby given a test tweet, we rank candidate venues. We propose several models that leverage on three types of signals from locations, users and peers. Firstly, the location signals are words that are indicative of venues. We propose a location-indicative …

Why We Should Have Seen That Coming, K.W Miller, Marty Wolf, F.S. Grodzinsky

Computer Science Faculty Works

In this paper we examine the case of Tay, the Microsoft AI chatbot that was launched in March, 2016. After less than 24 hours, Microsoft shut down the experiment because the chatbot was generating tweets that were judged to be inappropriate since they included racist, sexist, and anti-Semitic language. We contend that the case of Tay illustrates a problem with the very nature of learning software (LS is a term that describes any software that changes its program in response to its interactions) that interacts directly with the public, and the developer’s role and responsibility associated with it. We make …

An Analysis Of Media Use And Public Opinion Toward The Affordable Care Act, Matthew Cain

The Eastern Illinois University Political Science Review

The author tests a number of hypotheses regarding views of the Affordable Care Act. Using a regression model and a variety of other data sources, the author finds support for the argument that the debate was forged by partisanship and ideology, along with age.

Googalization: The Response To A “Friend Request” In The Workplace, Ashley Harrington

The Eastern Illinois University Political Science Review

With social networking taking over the lives and time of its users, workplace time and productivity appear to be neglected and decreasing. However, perhaps online social networking is just a plan that has yet to make its inclusion into the workplace. Within this context, the author considers both the positives and negatives associated with social networking in the workplace.

Is The Effectiveness Of Social Media Overrated?, Singapore Management University

Perspectives@SMU

Feeling empowered is not the same as being empowered

A Framework For Recommendation Of Highly Popular News Lacking Social Feedback, Nuno Moniz, Luís Torgo, Magdalini Eirinaki, Paula Branco

Faculty Publications

Social media is rapidly becoming the main source of news consumption for users, raising significant challenges to news aggregation and recommendation tasks. One of these challenges concerns the recommendation of very recent news. To tackle this problem, approaches to the prediction of news popularity have been proposed. In this paper, we study the task of predicting news popularity upon their publication, when social feedback is unavailable or scarce, and to use such predictions to produce news rankings. Unlike previous work, we focus on accurately predicting highly popular news. Such cases are rare, causing known issues for standard prediction models and …

Ua12/2/2 2017 Talisman: Power, Wku Student Affairs

WKU Administration Documents

2017 Talisman yearbook.

• Gibson, Helen. Letter from the Editor
• Edwards, Aly. What's Your Superpower?
• Mattison, Reed. Dangerous Heights - George Clark, Mountaineering
• Voorhees, Jessica. Innovative Energy - Wei-Ping Pan
• Voorhees, Jessica. Counterpunch - Rock Steady Boxing
• Barritt, Brooklyn. B.G. Bosses - Small Business
• Frint, Hunter. Cason's Cove: The Power of Family
• Mitchell, McKenna. Picking Up the Mic - Reuben Bynes, Waco Bell
• Mohr, Olivia. Hidden in Plain Sight - Human Trafficking
• Mattingly, Evan. Voice Off - Noah Hancock, Deaf Persons
• Robb, Hayley. Game, Set, Unmatched - Phillip Cole, Tennis
• Good, Hannah. Damage Control - Post Traumatic Stress Disorder
• Gordon, Zora. …

#Nodapl: Social Media, Empowerment, And Civic Participation At Standing Rock, Hayley Johnson

Faculty Publications

The struggle for environmental and social justice within American Indian communities is one that has been ongoing since the beginning of United States history, but the main catalyst to effect change and to promote and disperse the American Indian narrative has emerged through the power of social media in today's hyperconnected society. This article examines the power of social media to effect change, as well as a hyperconnected society's ability to empower historically disadvantaged groups that have often been misrepresented within traditional media outlets. The historic movement occurring at Standing Rock, North Dakota, and the #NoDAPL protests illustrates the capacity …

Is Every Tweet Created Equal? A Framework To Identify Relevant Tweets For Business Research, Thad Chee

Information Technology & Decision Sciences Theses & Dissertations

It is a life or death matter for a firm to observe its environment and identify new threats or opportunities quickly. Information technology has increased firm’s speed and agility in responding to environmental changes. Social media offers a vast and timely source of environmental information that firms can readily use gauge public sentiment. Twitter is a high-speed service that allows anyone to “tweet” a message to any interested parties. Firms can access near instantaneous changes in the public mood about any topic by using Sentiment Analysis. These topics range from predicting equities prices to predicting election outcomes. A gap exists …

Understanding The Determinants Affecting The Continuance Intention To Use Cloud Computing, Shailja Tripathi Dr.

Journal of International Technology and Information Management

Cloud computing has been progressively implemented in the organizations. The purpose of the paper is to understand the fundamental factors influencing the senior manager’s continuance intention to use cloud computing in organizations. A conceptual framework was developed by using the Technology Acceptance Model (TAM) as a base theoretical model. A questionnaire was used to collect the data from several companies in IT, manufacturing, finance, pharmaceutical and retail sectors in India. The data analysis was done using structural equation modeling technique. Perceived usefulness and perceived ubiquity are identified as important factors that affect continuance intention to use cloud computing. In addition, …

Table Of Contents Jitim Vol 26 Issue 3, 2017

Journal of International Technology and Information Management

Table of Contents

Youth Workers' Use Of Facebook For Mediated Pastoralism With Juvenile Delinquents And Youths-At-Risk, Sun Sun Lim

Research Collection College of Integrative Studies

Youth work seeks to rehabilitate juvenile delinquents for re-entry into mainstream society and to prevent youthsat-risk from falling into delinquency, thus necessitating that youth workers assiduously monitor their clients. With the avid use of social media by youths, youth workers must also adopt these communication platforms to reach out to their young clients. Drawing from interviews with youth workers, this study analyses how they use Facebook to communicate with their clients and monitor their activities. Surveillance forms a key thrust of youth workers' professional use of Facebook, enhancing their ability to oversee these youths' personal development for the purposes of …

Predicting The Brexit Vote By Tracking And Classifying Public Opinion Using Twitter Data, Julio C. Amador Diaz Lopez, Sofia Collignon-Delmar, Kenneth Benoit, Akitaka Matsuo

Research Collection School of Social Sciences

We use 23M Tweets related to the EU referendum in the UK to predict the Brexit vote. In particular, we use user-generated labels known as hashtags to build training sets related to the Leave/Remain campaign. Next, we train SVMs in order to classify Tweets. Finally, we compare our results to Internet and telephone polls. This approach not only allows to reduce the time of hand-coding data to create a training set, but also achieves high level of correlations with Internet polls. Our results suggest that Twitter data may be a suitable substitute for Internet polls and may be a useful …

Having A Feel For What Works: Polymedia, Emotion, And Literacy Practices With Mobile Technologies, Bronwyn T. Williams

Faculty and Staff Scholarship

No abstract provided.

Trolling Twitter, Eric Vorst

Dissertations

Political polarization is a defining feature of the contemporary American political landscape. While there is little doubt that elite polarization levels have risen dramatically in recent decades, there is some debate over the existence of a corresponding rise in mass polarization. Recent scholarship on mass polarization has cited evidence related to citizens’ positions on public policy issues, party sorting, and geographic polarization; however, questions remain as to the nature and extent of mass polarization in online spaces. Specifically, more needs to be known regarding how expressions of elite polarization influence the formation of polarized communities within social media.

This dissertation …

Watching Online Videos At Work: The Role Of Positive And Meaningful Affect For Recovery Experiences And Well-Being At The Workplace, Sophie Janicke, Diana Rieger, Leonard Reinecke, Winston Connor Iii

Communication Faculty Articles and Research

This study extends research on the relationship between hedonic and eudaimonic entertainment and its potential for recovery experiences and aspects of well-being (e.g., Rieger, Reinecke, Frischlich, & Bente, 2014). With the broad notion of what hedonic and eudaimonic media can entail, this research focused on unique affective experiences—namely, positive affect—and an expanded concept of meaningful affect (including elevation and gratitude). An online experiment with 148 full-time employees in the United States was conducted to investigate the unique role of positive and meaningful affect eliciting YouTube videos (compared to neutral control video) on recovery experiences and vitality and work satisfaction in …

Crossing The #Bikinibridge: Exploring The Role Of Social Media In Propagating Body Image Trends, Jenna M. Drenten, Lauren Gurrieri

School of Business: Faculty Publications and Other Works

A book chapter written by Jenna Drenten and Lauren Gurrieri for The Dark Side of Social Media: A Consumer Psychology Perspective (2017).

Who Steps In To Defend Online, Amanda J. Cross

Student Theses and Dissertations

This article looks at who steps in to defend people online. The article examines how the internet has changed our world, how hate groups use websites and social media to disseminate hate, and how social learning theory and collective efficacy can be used to talk about hate online. Next, the article delves into the topic of who steps in to defend people online by looking at a number of variables taken from a 2015 survey of internet users age 15-36. This article is a deep dive into the variables that impact standing up for people online including online collective efficacy, …