Social Media Commons^™

Data Preparation For Social Network Mining And Analysis, Yazhe Wang

Dissertations and Theses Collection (Open Access)

This dissertation studies the problem of preparing good-quality social network data for data analysis and mining. Modern online social networks such as Twitter, Facebook, and LinkedIn have rapidly grown in popularity. The consequent availability of a wealth of social network data provides an unprecedented opportunity for data analysis and mining researchers to determine useful and actionable information in a wide variety of fields such as social sciences, marketing, management, and security. However, raw social network data are vast, noisy, distributed, and sensitive in nature, which challenge data mining and analysis tasks in storage, efficiency, accuracy, etc. Many mining algorithms cannot …

Issues Of Social Data Analytics With A New Method For Sentiment Analysis Of Social Media Data, Zhaoxia Wang, Victor J. C. Tong, David Chan

Research Collection School of Social Sciences

Social media data consists of feedback, critiques and other comments that are posted online by internet users. Collectively, these comments may reflect sentiments that are sometimes not captured in traditional data collection methods such as administering a survey questionnaire. Thus, social media data offers a rich source of information, which can be adequately analyzed and understood. In this paper, we survey the extant research literature on sentiment analysis and discuss various limitations of the existing analytical methods. A major limitation in the large majority of existing research is the exclusive focus on social media data in the English language. There …

Anomaly Detection Through Enhanced Sentiment Analysis On Social Media Data, Zhaoxia Wang, Victor Joo, Chuan Tong, Xin Xin, Hoong Chor Chin

Research Collection School Of Computing and Information Systems

Anomaly detection in sentiment analysis refers to detecting abnormal opinions, sentiment patterns or special temporal aspects of such patterns in a collection of data. The anomalies detected may be due to sudden sentiment changes hidden in large amounts of text. If these anomalies are undetected or poorly managed, the consequences may be severe, e.g. A business whose customers reveal negative sentiments and will no longer support the establishment. Social media platforms, such as Twitter, provide a vast source of information, which includes user feedback, opinion and information on most issues. Many organizations also leverage social media platforms to publish information …

Identifying The High-Value Social Audience From Twitter Through Text-Mining Methods, Siaw Ling Lo, David Cornforth, Raymond Chiong

Research Collection School Of Computing and Information Systems

Doing business on social media has become a common practice for many companies these days. While the contents shared on Twitter and Facebook offer plenty of opportunities to uncover business insights, it remains a challenge to sift through the huge amount of social media data and identify the potential social audience who is highly likely to be interested in a particular company. In this paper, we analyze the Twitter content of an account owner and its list of followers through various text mining methods, which include fuzzy keyword matching, statistical topic modeling and machine learning approaches. We use tweets of …

Book Review: Twitter: Social Communication In The Twitter Age, By Dhiraj Murthy, Sue Burzynski Bullard

College of Journalism and Mass Communications: Faculty Publications

Twitter has helped to shape social communication in today’s world. In his book, Dhiraj Murthy recognizes Twitter’s impact as a communication medium and puts it in context.

Sharing Political News: The Balancing Act Of Intimacy And Socialization In Selective Exposure, Jisun An, Daniele Quercia, Meeyoung Cha, Krishna Gummadi, Jon Crowcroft

Research Collection School Of Computing and Information Systems

One might think that, compared to traditional media, social media sites allow people to choose more freely what to read and what to share, especially for politically oriented news. However, reading and sharing habits originate from deeply ingrained behaviors that might be hard to change. To test the extent to which this is true, we propose a Political News Sharing (PoNS) model that holistically captures four key aspects of social psychology: gratification, selective exposure, socialization, and trust & intimacy. Using real instances of political news sharing in Twitter, we study the predictive power of these features. As one might expect, …

Toward A Uses And Gratification's Model Of Twitter, Philip Ryan Johnson

Theses - ALL

This study proposed a uses and gratifications model of Twitter, an internet medium and micro-blog--a platform with both mass and interpersonal communication features for sending short messages to others. A survey was conducted among 242 Twitter users to test the model, including a standard investigation of gratifications sought and gratifications obtained of Twitter usage. In addition, expectations and availability of usage behaviors from McLeod and Becker's (1981) uses and gratifications model were examined. In the model, expectations were conceptualized as user expectations of satisfaction and operationalized as the difference between users' gratifications sought and gratifications actually obtained. Usage behavior availability …

On Macro And Micro Exploration Of Hashtag Diffusion In Twitter, Yazhe Wang, Baihua Zheng

Research Collection School Of Computing and Information Systems

This exploratory work studies hashtag diffusion in Twitter. The analysis is conducted from two aspects. From the macro perspective, we study general properties of hashtag diffusion, and classify hashtags into three main classes based on their temporal dynamics referred as 'single spike', 'multi-spikes', and 'fluctuation', and find that each of these classes has some unique characteristics. From the micro perspective, we investigate individual diffusion.We adopt Edelman's 'topology of influence' theory to identify four type of users with different influence levels in diffusion based on their dynamic retweet behaviors. The results of our study are useful for gaining more insights of …

"Warning: This Is A Must Read": Participation And Disruption In Social Artifacts And Spaces, Angela M. Harrison Eng

English Theses & Dissertations

As I show in three separate case studies, content, technology, and participant relationships are key components in the design of social artifacts and spaces. One study highlights the invention and evolution of content across multiple spaces. The second shows content used as leverage for authority. The last case study examines the relationship between content and technological interfaces and how disruption may not always be successful.

All of these components make up what I refer to as disruption. Disruption describes participant acts that are executed to change existing power-based structures of information sharing. Using the insights gained from this research, I …

Social Media And Entrepreneurship: The Case Of Food Trucks, Scott J. Wallsten, Corwin Rhyan

Scott J. Wallsten

While the use of social media by firms is nearly ubiquitous, there has been little analysis of its effectiveness in helping small businesses succeed in a highly competitive market. To begin studying this question, we created an extensive dataset on over 250 mobile food trucks—a dynamic, somewhat homogenous, and low-entry cost business that is highly dependent on social media for its business model—which operated in the Washington, DC metro area from 2009 to 2013. We explore how their use of social media and Internet services like Twitter, Facebook, and business webpages effect their ability to stay in business. We find …

Tweeting The Boston Marathon Bombings: A Case Study Of Twitter Content In The Immediate Aftermath Of A Major Event, Rebekah Dawn Giordano

College of Journalism and Mass Communications: Professional Projects

The project explored and analyzed the use of the social media tool Twitter in the immediate aftermath of a major event. Tweets and re-tweets from the first hour following the Boston Marathon Bombings on April 15, 2013 were collected and analyzed. The project used the application SIFTER from the company Textifer to identify the related tweets by inputting sixteen previously documented keywords related to the Boston Marathon Bombing. The tweets were then divided into several categories and subcategories to be analyzed. The company Twitter Counter was used to obtain accurate information, such as followers on, for various individual Twitter accounts. …

Gatekeeping The Social Games In A Post-Broadcasting World: A Qualitative Content Analysis Of Nbc And User-Generated Olympic Twitter Coverage During The 2012 London Games, Daniel Anthony Sipocz

Dissertations

This study examined the Twitter use of both traditional gatekeepers, such as NBC, and audience members during the 2012 London Summer Olympics. The exploratory study examined NBC and audience members as gatekeepers with a particular interest in the audience’s role as a gatekeeper through social media use. NBC used Twitter, a social media platform, in ways that supported traditional gatekeeping models. The network aimed to drive audiences back to the traditional television broadcast while providing the audience with the illusion of having an influence on Olympic coverage. Most significantly, this study argues that the audience became a gatekeeper of Olympic …

Like, Retweet, Repeat: Social Media's Impact On Real Estate Marketing, Emily Kendall

Masters Theses

With the advent of Facebook and Twitter, people from all walks of life in all parts of the world have the ability to connect electronically, impersonally, and constantly. Small businesses are just beginning to unlock the power of social media marketing, specifically real estate professionals. Shelly Chaiken created the Heuristic Systematic Model of persuasion, the descendant of the Elaboration Likelihood Model. This study applies the tenets of Chaiken's HSM to the methods of persuasion employed by real estate agents via Facebook and Twitter. Fifty participants were surveyed by the researcher in order to gauge their activity, interest level, and motivation …

Adolescents And The Social Media: The Coming Storm, Daniel Houlihan, Meghan Houlihan

Psychology Department Publications

In her book Failure to Connect: How computers affect our Children’s Minds, sounded the alarm to the educational community that computers would not impact the intellectual growth of children in the ways that had been anticipated by the Clinton Administration when they started the push to have the world-wide web integrated into American classrooms by passing the Classroom 2000 education initiative. In a speech in April of 2013, Clinton would follow-up by saying that the modern internet has forced a change in what we consider to be forms of good citizenship. The future will redefine how we should act and …

Predicting Events Surrounding The Egyptian Revolution Of 2011 Using Learning Algorithms On Micro Blog Data, Benedikt Boecking, Margeret A. Hall, Jeff Schneider

Interdisciplinary Informatics Faculty Proceedings & Presentations

We aim to predict activities of political nature in Egypt which influence or reflect societal-scale behavior and beliefs by using learning algorithms on Twitter data. We focus on capturing domestic events in Egypt from November 2009 to November 2013. To this extent we study underlying communication patterns by evaluating content-based and meta-data information in classification tasks without targeting specific keywords or users. Classification is done using Support Vector Machines (SVM) and Support Distribution Machines (SDM). Latent Dirichlet Allocation (LDA) is used to create content-based input patterns for the classifiers while bags of Twitter meta-information are used with the SDM to …

Information Architecture For Social Media: A Case Study On Building An Event Backchannel With Twitter, Robert L. Moore

STEMPS Faculty Publications

This paper presents a case study on creating a backchannel through Twitter for the live event, featuring the Secretary of the US Navy, hosted by the School of Government. The project, which ultimately was successful in creating social media buzz for the lecture, was a new approach for the School of Government in how it markets its events. The study discusses the tools and processes used in the backchannel's creation and development. This paper was written because the author discovered a gap in existing literature on creating backchannels. It outlines how the adaptation of best practices from the general population's …

Twitter Deception And Influence: Issues Of Identity, Slacktivism, And Puppetry, David M. Cook, Benjamin Waugh, Maldini Abdipanah, Omid Hashemi, Shaquille Abdul Rahman

Dr. David M Cook