Social Media Commons^™

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 …

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 …

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, …

Motivations To Seek Science Videos On Youtube: Free-Choice Learning In A Connected Society, Sonny Rosenthal

Research Collection College of Integrative Studies

Do individuals use video sharing sites in their free time to learn about science, and if so, why? This study takes a preliminary look at individual differences that motivate online science video seeking. Among 273 Singapore Internet users who participated in an online survey, most reported using YouTube during the previous week, and one-third reported using it to watch science videos. Hierarchical regression analysis explained 55% of the variance in their intention to seek science videos during the subsequent week. Significant predictors of interest were seeking-related subjective norm, enjoyment of science, and informational use of YouTube. Although these results do …

Who Posts Selfies And Why?: Personality, Attachment Style, And Mentalization As Predictors Of Selfie Posting On Social Media, Nancy Adler

Dissertations, Theses, and Capstone Projects

This study examines the phenomenon of selfie posting on social media and its relationship to narcissism, the Dark Triad, impulsivity, attachment style, rejection sensitivity, and reflective functioning. The sample was made up of 499 participants who completed an online survey consisting of personality measures and open- and closed-ended questions about selfie posting behavior. Data were analyzed using a negative binomial regression model.

Results: The study found that individuals with high levels of the Dark Triad trait of psychopathy post more selfies on social media than do individuals with low levels of the trait. The Dark Triad trait of narcissism was …

The Queer Allure Of Digital Sociality, Benjamin Parrish Haber

Dissertations, Theses, and Capstone Projects

This dissertation explores the resonance between queer sociality and emergent forms of digital communication. Drawing from queer theory and LGBTQ social histories, this dissertation charts the convergence of digital social modulation with the polyvalence, promiscuity, and mutability of queer sociality. A close analysis of the infrastructure and design of Facebook, Snapchat, Grindr, and other queered social media platforms demonstrates how digital capitalism’s desire for lifelong compulsive engagement is in part facilitated by an appropriation of the ongoingness of queer sexuality and relationality. In highlighting the key role of temporality, aesthetic, and affect in regulating the creation and circulation of digital …

An Unsupervised Multilingual Approach For Online Social Media Topic Identification, Siaw Ling Lo, Raymond Chiong, David Cornforth

Research Collection School Of Computing and Information Systems

Social media data can be valuable in many ways. However, the vast amount of content shared and the linguistic variants of languages used on social media are making it very challenging for high-value topics to be identified. In this paper, we present an unsupervised multilingual approach for identifying highly relevant terms and topics from the mass of social media data. This approach combines term ranking, localised language analysis, unsupervised topic clustering and multilingual sentiment analysis to extract prominent topics through analysis of Twitter’s tweets from a period of time. It is observed that each of the ranking methods tested has …

Inferring Spread Of Readers’ Emotion Affected By Online News, Agus Sulistya, Ferdian Thung, David Lo

Research Collection School Of Computing and Information Systems

Depending on the reader, A news article may be viewed from many different perspectives, thus triggering different (and possibly contradicting) emotions. In this paper, we formulate a problem of predicting readers’ emotion distribution affected by a news article. Our approach analyzes affective annotations provided by readers of news articles taken from a non-English online news site. We create a new corpus from the annotated articles, and build a domain-specific emotion lexicon and word embedding features. We finally construct a multi-target regression model from a set of features extracted from online news articles. Our experiments show that by combining lexicon and …

Advancing Democracy One Tweet At A Time, Landon T. Hester

LSU Master's Theses

This thesis takes a broad look how citizens use social media to foster political discussion, enhance political knowledge and engage in political participation in the United States. In this study, democracy is broken down into three empirically measurable components: political discussion, knowledge and participation. To begin, I provide an in-­‐depth review of past research examining the impact social media has on each element of democracy. In addition, I analyze data collected from a novel social media panel of 3,811 Twitter users by researchers from Louisiana State University (Davis et. al, 2017). From this, I measure the impact that Facebook and …

Marketing Strategy Of School Of Professional Studies In China, Jiahui Liu, Jing Wang, Shuo An, Wengxing Wang, Yiwei Wang

School of Professional Studies

Chinese students are the most visible international presence at many universities across the United States, and the number continues to grow. Since 2010, The number of graduate students studying abroad has entered the period in which the increase has been declining. Under the circumstance of the weak global economy and high cost of education, the administration needs to attract the attention of Chinese students. In the process of competing for applicants, how to develop marketing strategies to attract students’ eyeballs has become an important means of trying to increase school income through Chinese students. The marketing strategy mentioned in this …

How Visual Communication Strategies, Brand Familiarity, And Personal Relevance Influence Instagram Users’ Responses To Brand Content, Lijie Zhou

Dissertations

This study comprehensively investigated the effects of visual themes, visual perspective, personal relevance, and brand familiarity on brand constructions (attitude-toward-brand, brand love, brand respect, and three dimensions of brand image) on Instagram. The study consists of two parts. In Study 1, the main and interaction effects of visual design elements on individuals’ visual attentions, brand recognition, and attitude toward brands were examined by using a 4 (visual theme: customer-centric, employee-centric, product-centric, and non-branded) × 2 (view perspective: first-person view vs. third-person view) between-subject eye-tracking test. In Study 2, a 4 (visual theme: customer-centric, employee-centric, non-brand, and product-centric) ×2 (brand familiarity: …

Real-Time Influence Maximization On Dynamic Social Streams, Yanhao Wang, Qi Fan, Yuchen Li, Kian-Lee Tan

Research Collection School Of Computing and Information Systems

Influence maximization (IM), which selects a set of k users(called seeds) to maximize the influence spread over a social network, is a fundamental problem in a wide range of applications such as viral marketing and network monitoring.Existing IM solutions fail to consider the highly dynamic nature of social influence, which results in either poor seed qualities or long processing time when the network evolves.To address this problem, we define a novel IM query named Stream Influence Maximization (SIM) on social streams.Technically, SIM adopts the sliding window model and maintains a set of k seeds with the largest influence value over …

Cal Poly State University, San Luis Obispo’S New Dream Center: Bringing Awareness And Increasing Student And Staff Outreach Through Social Media, Brenda Itzel Garcia

Journalism

The following study investigates how using social media as a platform for Cal Poly’s new Dream Center will increase the percentage of outreach and promote awareness among students and staff.

The number of undocumented students on campus continues to grow every year since 2012 when former President, Barak Obama, first introduced introduced DACA. However out of 65,000 undocumented students who graduate high school in the United States, only 10% continue to pursue a higher education, and only 8% of those students actually complete and undergraduate degree.

The purpose of having a dream center is to increase the graduation rates, have …

The Role Of Knowledge Sharing Via Organizational Social Media In The Workplace, Murad A. Moqbel, Fiona Fui-Hoon Nah

Research Collection School Of Computing and Information Systems

Although a plethora of studies have been recently conducted on organizational social media, little research has specifically examined how organizational social media can contribute to organizational workers’ performance through knowledge sharing. The objective of this research is to fill this gap by investigating the role of knowledge sharing in organizational social media use and its effect on in-role and innovative performance through the lens of social capital and social cognitive theories. Hypotheses were developed and a survey study is proposed.