Social Media Commons^™

Efficient Community Maintenance For Dynamic Social Networks, Hongchao Qin, Ye Yuan, Feida Zhu, Guoren Wang

Research Collection School Of Computing and Information Systems

Community detection plays an important role in a wide range of research topics for social networks including personalized recommendation services and information dissemination. The highly dynamic nature of social platforms, and accordingly the constant updates to the underlying network, all present a serious challenge for efficient maintenance of the identified communities. How to avoid computing from scratch the whole community detection result in face of every update, which constitutes small changes more often than not. To solve this problem, we propose a novel and efficient algorithm to maintain the communities in dynamic social networks by identifying and updating only those …

Microblogging Content Propagation Modeling Using Topic-Specific Behavioral Factors, Tuan Anh Hoang, Ee-Peng Lim

Research Collection School Of Computing and Information Systems

When a microblogging user adopts some content propagated to her, we can attribute that to three behavioral factors, namely, topic virality, user virality, and user susceptibility. Topic virality measures the degree to which a topic attracts propagations by users. User virality and susceptibility refer to the ability of a user to propagate content to other users, and the propensity of a user adopting content propagated to her, respectively. In this paper, we study the problem of mining these behavioral factors specific to topics from microblogging content propagation data. We first construct a three dimensional tensor for representing the propagation instances. …

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 …

Online Information Seeking By Patients With Bipolar Disorder: Results From An International Multisite Survey, Jörn Conell, Rita Bauer, Tasha Glenn, Martin Alda, Raffaella Ardau, Bernhard T. Baune, Michael Berk, Yuly Bersudsky, Amy Bilderbeck, Alberto Bocchetta, Letizia Bossini, Angela Marianne Paredes Castron, Eric Yat Wo Cheung, Caterina Chillotti, Sabine Choppin, Maria Del Zompo, Rodrigo Dias, Seetal Dodd, Anne Duffy, Bruno Etain, Andrea Fagiolini, Julie Garnham, John Geddes, Jonas Gidebro, Ana Gonzalez-Pinto, Guy M. Goodwin, Paul Grof, Hirohiko Harima, Stefanie Hassel, Chantal Henry, Diego Hidalgo-Mazzei, Vaisnvy Kapur, Girish Kunigiri, Beny Lafer, Chun Lam, Erik Roj Larsen, Ute Lewitzka, Ramus Licht, Anne Hvenegaard Lund, Blazej Misiak, Patryk Piotrowski, Scott Monteith, Rodrigo Munoz, Takako Nakanotani, René E. Nielsen, Claire O'Donovan, Yasushi Okamura, Yamima Osher, Andreas Reif, Philipp Ritter, Janusz K. Rybakowski, Kemal Sagduyu, Brett Sawchuk, Elon Shwartz, Ângela Miranda Scippa, Claire Slaney, Ahmad Hatim Sulaiman, Kirsi Suominen, Aleksandra Suwalska, Peter Tam, Yoshitaka Tatebayashi, Leonardo Tondo, Eduard Vieta, Maj Vinberg, Biju Viswanath, Julia Volkert, Mark Zetin, Iñaki Zorrilla, Peter C. Whybrow, Michael Bauer

Marriage and Family Therapy Faculty Articles and Research

Background

Information seeking is an important coping mechanism for dealing with chronic illness. Despite a growing number of mental health websites, there is little understanding of how patients with bipolar disorder use the Internet to seek information.

Methods

A 39 question, paper-based, anonymous survey, translated into 12 languages, was completed by 1222 patients in 17 countries as a convenience sample between March 2014 and January 2016. All patients had a diagnosis of bipolar disorder from a psychiatrist. Data were analyzed using descriptive statistics and generalized estimating equations to account for correlated data.

Results

976 (81 % of 1212 valid responses) …

Understanding How Intentionally Unplugging From Cell Phones Shapes Interpersonal Relationships And The Undergraduate College Experience, Jadelin P. Felipe

Master's Theses

The purpose of this study was to gain an understanding of what motivated college students—the Unplugged Students—to intentionally use their cell phones less and how they understood the impact that unplugging had on their interpersonal relationships and college experience. Nine undergraduate college students from four private schools were interviewed in one-on-one semi- structured interviews. These students, considered non-users, provided a particularly useful perspective as these students made a conscious choice to counteract social norms and experienced both being plugged in and unplugged. Cell phones and the act of unplugging proved to make up a complex and more nuanced topic than …

Good Vibrations: Charting The Dominant And Emergent Discursive Regimes Of Sex Toys, George Rossolatos

The Qualitative Report

Sex toys promote a new consumptive ethos whose significance may be adequately outlined by attending to the institutional implications of this product category’s consumption. By drawing on Foucault’s theory of sexuality and the technologies of the self that materialize with the aid of discursive formations about sexuality, as well as on relevant sociological and ethnographic insights, I undertake a qualitative content analysis on a corpus of 100 sex toys’ product reviews from popular magazines and web sites in order to identify how the discourse about sex toys is articulated in terms of three dominant categories of sexual scripts (Simon & …

Passive Visual Analytics Of Social Media Data For Detection Of Unusual Events, Kush Rustagi, Junghoon Chae

The Summer Undergraduate Research Fellowship (SURF) Symposium

Now that social media sites have gained substantial traction, huge amounts of un-analyzed valuable data are being generated. Posts containing images and text have spatiotemporal data attached as well, having immense value for increasing situational awareness of local events, providing insights for investigations and understanding the extent of incidents, their severity, and consequences, as well as their time-evolving nature. However, the large volume of unstructured social media data hinders exploration and examination. To analyze such social media data, the S.M.A.R.T system provides the analyst with an interactive visual spatiotemporal analysis and spatial decision support environment that assists in evacuation planning …

Profiling Social Media Users With Selective Self-Disclosure Behavior, Wei Gong

Dissertations and Theses Collection

Social media has become a popular platform for millions of users to share activities and thoughts. Many applications are now tapping on social media to disseminate information (e.g., news), to promote products (e.g., advertisements), to manage customer relationship (e.g., customer feedback), and to source for investment (e.g., crowdfunding). Many of these applications require user profile knowledge to select the target social media users or to personalize messages to users. Social media user profiling is a task of constructing user profiles such as demographical labels, interests, and opinions, etc., using social media data. Among the social media user profiling research works, …

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. …

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 …

Why We Follow: Exploring How Culture Shapes Users’ Motivation For Following Sport Organizations On Twitter And Weibo, Bo Li

Graduate Theses and Dissertations

The purpose of this dissertation was to explore how culture shapes Social media users’ usage as they follow sport organizations on two similar microblogging services - Twitter and Weibo. In particular, the study attempted to measure whether Social media users exhibited different usage pattern, points of attachment, and usage motivations within two different cultural environments known as individualism and collectivism.

The Los Angeles Lakers’ Social media followers were selected and invited to participant in this study. There were 839 the Lakers’ Weibo followers and 334 Twitter followers who completed an online survey facilitated on Qualtrics. The results of Multivariate analysis …

Social Media And Perceptions Of Sexual Consent: Development And Psychometric Assessment Of Two Consent Measures, Kelley Rhoads

Graduate Theses and Dissertations

Background. Preliminary qualitative research suggests some college students believe sexual consent can be communicated and interpreted in Social settings, such as parties or bars, and in contexts lacking face-to-face interaction like text messages and Social media content. Previous sexual consent researchers have described perceptions of consent that occur in Social settings as “outside the bedroom” consent. The belief that sexual consent can be interpreted from Social media content or that accepting an alcoholic beverage from someone at a bar is indicative of sexual consent is problematic and warrants further study. Current validated consent scales are limited and do not assess …

Common Platforms And Devices Used To Access News About Native Americans, Rebekka J. Schlichting

College of Journalism and Mass Communications: Professional Projects

The opening story about Ictinike and the buzzard is a traditional oral story from my Ioway Tribe culture. It represents the way in which Native American people historically shared information and stories. Today, Native stories are shared in multiple ways: oral, written, video, audio, websites, social media, etc. This research explored the ways in which Native Americans receive their stories today, specifically news stories about Native Americans. This research was done in order to see how news outlets could better serve Native populations in the U.S. In addition, I looked at which platforms and devices are most effective for Natives …

It's All About Me: How Self-Brand Connection And Social Media Interactivity Influence Purchase Intent, Shannon Taylor Mccarthy

Graduate Theses and Dissertations

Social media is ubiquitous and allows consumers to display identity by through possessions through posts, images, and interactions. The self is all the individual calls their own and is expressed outwardly through everything visible, including possessions, relationships, and interactions. They tell their story through the display of envy-inducing artifacts, and create a perfect, photoshopped life. Consumers seek a connection to positively viewed brands they feel are self-representative through interaction. This dissertation seeks to better understand consumer rationale for and gratification from online brand engagement and how that, in turn, impacts the brand. Three studies examined the effects of self-brand connection, …

Incorporating A New Class Of Uncertainty In Disaster Relief Logistics Planning, Emre Kirac

Graduate Theses and Dissertations

In recent years, there has been a growing interest among emergency managers in using Social data in disaster response planning. However, the trustworthiness and reliability of posted information are two of the most significant concerns, because much of the user-generated data is initially not verified. Therefore, a key tradeoff exists for emergency managers when considering whether to incorporate Social data in disaster planning efforts. By considering Social data, a larger number of needs can be identified in a shorter amount of time, potentially enabling a faster response and satisfying a class of demand that might not otherwise be discovered. However, …

Collective Influence Algorithm To Find Influencers Via Optimal Percolation In Massively Large Social Media, Flaviano Morone, Byungjoon Min, Lin Bo, Romain Mari, Hernán A. Makse

Publications and Research

We elaborate on a linear-time implementation of Collective-Influence (CI) algorithm introduced by Morone, Makse, Nature 524, 65 (2015) to find the minimal set of influencers in networks via optimal percolation. The computational complexity of CI is O(N log N) when removing nodes one-by-one, made possible through an appropriate data structure to process CI. We introduce two Belief-Propagation (BP) variants of CI that consider global optimization via message-passing: CI propagation (CIP) and Collective- Immunization-Belief-Propagation algorithm (CIBP) based on optimal immunization. Both identify a slightly smaller fraction of influencers than CI and, remarkably, reproduce the exact analytical optimal percolation threshold obtained in …

Latent Semantic Indexing In The Discovery Of Cyber-Bullying In Online Text, Jacob L. Bigelow

Computer Science Summer Fellows

The rise in the use of social media and particularly the rise of adolescent use has led to a new means of bullying. Cyber-bullying has proven consequential to youth internet users causing a need for a response. In order to effectively stop this problem we need a verified method of detecting cyber-bullying in online text; we aim to find that method. For this project we look at thirteen thousand labeled posts from Formspring and create a bank of words used in the posts. First the posts are cleaned up by taking out punctuation, normalizing emoticons, and removing high and low …

Perceptions Surrounding Cyberbullying And Self-Disclosure Among The Lgbtq Community: A Qualitative Approach, Alec Martin

Media and Communication Studies Summer Fellows

LGBTQ adolescents, like all youth, face challenges: the push for high academic marks, the desire for positive relationships, and the right to be themselves in a safe environment. Unfortunately, LGBTQ youths are far more likely than their heterosexual peers to experience bullying and cyberbullying. According to a 2005 study by the Gay, Lesbian & Straight Education Network, the second largest cause of bullying was actual or presumed sexual orientation or identity. Gay males were more than twice as likely to be bullied on school property than their heterosexual peers, 43.1% and 18.3%, respectively (Olsen et al, 2014). In addition, 23.1% …

Detection Of Cyberbullying In Sms Messaging, Bryan W. Bradley

Computer Science Summer Fellows

Cyberbullying is a type of bullying that uses technology such as cell phones to harass or malign another person. To detect acts of cyberbullying, we are developing an algorithm that will detect cyberbullying in SMS (text) messages. Over 80,000 text messages have been collected by software installed on cell phones carried by participants in our study. This paper describes the development of the algorithm to detect cyberbullying messages, using the cell phone data collected previously. The algorithm works by first separating the messages into conversations in an automated way. The algorithm then analyzes the conversations and scores the severity and …

Youth Media And Social Change: Using Digital Storytelling As A Tool That Engages Youth To Become Change Agents, Soufiane Khebbaz

Capstone Collection

Today the importance of digital technology has significantly increased worldwide, as cameras, laptops, and easy-to-use applications and software have become available to educators and activists, enabling them to join the digital world. Through a digital storytelling workshop, I examined the use of digital storytelling as a potential means of empowerment for teenagers participating in the Access Micro-scholarship Program. Using qualitative methods, I looked at the students’ interactions with each other as well as with technology in the process of digital storytelling. The main purpose of this project was to investigate the opportunities that digital storytelling practices hold for youth in …