Social Media Commons^™

Maximizing Sharability And Persuasiveness On Web 2.0, Yuhua (Jake) Liang, Christina Lopez, Tim Seavey, Shelby Stanton

Student Scholar Symposium Abstracts and Posters

Online marketing efforts usually focus on the persuasiveness or sharability of a message. However, research has not established where these two concepts overlap. The current study explores this overlap. Web 2.0 platforms facilitate the delivery of different content and statistics to convey the persuasiveness and the sharability. An original experiment varied message quality (high argument strength, direct message, and emotional message) and web cues (i.e., ratio of views, likes, and shares) to signal self-presentation (favorable and unfavorable). Prospective participants will view mock webpages for internet news and donation collection, followed by measures of the content persuasiveness and sharability.

Social Media In The Church, Derick Ray Mckinney

Graduate Theses and Dissertations

This thesis project examines the effectiveness of social media in the church. Sites like Facebook, Twitter, Instagram, and YouTube have the potential to shape the way the world communicates. Many churches have even begun utilizing social media in their ministry efforts. They publicize, pray, encourage, and promote events, all using social media. This paper argues that Bible believing churches can effectively use social media to communicate to their members by announcing upcoming events, sharing audience specific information, and knowing the best time to post on these sites. This project shows a social media strategy implemented into New Heights Church in …

Docam 2014 Founders Lecture: Photocutionary Acts, Selfies And Public Knowledge, Brian C. O'Connor

Proceedings from the Document Academy

This paper is drawn from the DOCAM 2014 Founders Lecture Selfies and Public Knowledge: DOCAM 2014 Founders Lecture, "Selfies and Public Knowledge: Technology & Situational Documents"

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 …

Social Media Marketing For The Medical Industry: Best Practices To Avoid Legal And Ethical Issues, Jessica Padilla

Journalism

This study analyzes the best social media practices for medical industry professionals and the proper and ideal uses for social media. It analyzes the public relations functions of social media—relationship building, reputation management, and crisis communication. With the constant rise of social media as a widely-used medium for marketing comes increased potential for damage to a medical business’ reputation, loss of medical licensing, or lawsuits if practitioners do not act within the lines of legal and ethical standards. Medical offices must have an online presence to remain relevant and build and keep relationships with new and current patients. This study …

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 …

Fundraising Techniques Of San Luis Obispo Nonprofit Organizations, Samantha Suyemoto

Graphic Communication

The purpose of this study was to identify the strengths and weaknesses of using direct mail and electronic media in the fundraising techniques of local San Luis Obispo nonprofit organizations. The intended audience includes the nonprofits interviewed in each case study as well as the other organizations that fundraise within the San Luis Obispo area. Three case studies of nonprofit organizations within the area were conducted in conjunction with research on various types of funding. Results of this study are intended to benefit the nonprofits by providing more information on successful fundraising habits.

Is The Smartphone Smart In Kathmandu?, Seth Bird

Independent Study Project (ISP) Collection

This is the extensive study of the smartphone in the developing country of Nepal, specifically the Kathmandu valley. Throughout my research I conducted various interviews with businesses, Tibetan refugees, and Nepali millennials (18yrs-33yrs) with the goal of identifying how the smartphone is used and understood. I chose the Kathmandu valley as my main area of research because the usage of smartphones in rural Nepal is extremely limited, and the valley represents the economic hub where progressive thinking flourishes. As a main objective I sought to understand how, if at all, the smartphone is used differently between Nepal and America. All …

Participatory Democracy In The Chinese Cyber World: Case Studies From Weibo, Duyi Li

Master's Theses

This thesis discusses features of citizen communication on Weibo, the Chinese social media platform, and its relationship to participatory democracy in China. Weibo is a complex social space due to the interplay of different forces and social actors. On the one hand, Weibo provides the space for bottom-up political participation: it expands the horizontal discursive space where plural discourses coexist and interact; provides a social sphere where counter-discourses are created; a space where the culture of resistance is formed; and serves as an alternative source for information. On the other hand, the vertical political control of the state, and the …

It's All In A Meme: A Content Analysis Of Memes Posted To 2012 Presidential Election Facebook Pages, Bobbie Foster

Graduate Theses and Dissertations

This thesis was an exploratory study to understand how Democrats and Republicans design memes, use traditional media framing, and how memes fit into modern humor theories. The study explores the relationship between the traditional media frames of the ideal candidate, populist campaigner, and the sure loser (Grabe & Bucy, 2009) and the commentary added by Internet users to these images in the memes.

The study also applies the benign-violation theory (McGraw & Warren, 2010) to the analysis of memes to understand the design choices made by meme creators. The benign-violation theory states that a physical or psychological violation is benign …

Extracting Interest Tags From Twitter User Biographies, Ying Ding, Jing Jiang

Research Collection School Of Computing and Information Systems

Twitter, one of the most popular social media platforms, has been studied from different angles. One of the important sources of information in Twitter is users’ biographies, which are short self-introductions written by users in free form. Biographies often describe users’ background and interests. However, to the best of our knowledge, there has not been much work trying to extract information from Twitter biographies. In this work, we study how to extract information revealing users’ personal interests from Twitter biographies. A sequential labeling model is trained with automatically constructed labeled data. The popular patterns expressing user interests are extracted and …

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 …

Emotional Disclosure On Social Networking Sites: The Role Of Network Structure And Psychological Needs, Han Lin, William Tov, Lin Qiu

Research Collection School of Social Sciences

We conducted three studies to understand how online emotional disclosure is influenced by social network structure on Facebook. Results showed that emotional disclosure was associated with both the density and size of users’ personal networks. Facebook users with denser networks disclosed more positive and negative emotions, and the relation between network density and emotional disclosure was mediated by stronger need for emotional expression. Facebook users with larger networks on Facebook disclosed more positive emotions, and the relation between network size and emotional disclosure was mediated by a stronger need for impression management. Our study extends past research by revealing the …

Correlates Of Social Anxiety, Religion, And Facebook, Lee Farquhar, Theresa Davidson

Scholarship and Professional Work - Communication

This study examined how religiosity, network homophily, and self-monitoring relate to social and Facebook-specific anxiety, role conflict, and Facebook Intensity. Correlation analyses indicate a connection between Facebook use and anxiety, as well as a link between religiosity and anxiety. We found that Role Conflict correlates with Facebook Intensity, Facebook specific Anxiety, and Social Anxiety. Regarding religiosity, those who prefer aliteral interpretation of the Bible, attend church more frequently, and pray more often have higher anxiety. Facebookers who are higher self-monitors have a less homophilous Facebook network and are less likely to identifytheir religious views on Facebook.

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 …

We Need To Talk, Neal Deroo

Faculty Work Comprehensive List

Posting about gender issues and Yik Yak from In All Things - an online hub committed to the claim that the life, death, and resurrection of Jesus Christ has implications for the entire world.

http://inallthings.org/we-need-to-talk/

It's Not Unusual: Glee And The Mainstream Acceptance Of Spontaneous Public Performance, Elizabeth M. Downey

UL Publications

When Glee debuted in 2009, the genre of the television musical series had a shaky history. Traditional episodic programs had previously aired musical episodes but these were seen as rare absurdities; the genre was an oddity to exploit on occasion, not something that could sustain an entire series (a belief proven when previous attempts had failed). The flash mob culture that emerged in the mid-2000s alongside the groundswell of social media changed this environment. The absurdity of people “bursting into song” in a public place was no longer a completely unrealistic scenario, and this reopened the door for the musical …

Web 2.0 Use And Knowledge Transfer: How Social Media Technologies Can Lead To Organizational Innovation, Namjoo Choi, Kuang-Yuan Huang, Aaron Palmer, Lenore Horowitz

Information Science Faculty Publications

The concept of Web 2.0 has gained widespread prominence in recent years. The use of Web 2.0 applications on an individual level is currently extensive, and such applications have begun to be implemented by organizations in hopes of boosting collaboration and driving innovation. Despite this growing trend, only a small number of theoretical perspectives are available in the literature that discuss how such applications could be utilized to assist in innovation. In this paper, we propose a theoretical model explicating this phenomenon. We argue that organizational Web 2.0 use fosters the emergence and enhancement of informal networks, weak ties, boundary …

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.

On Joint Modeling Of Topical Communities And Personal Interest In Microblogs, Tuan-Anh Hoang, Ee Peng Lim

Research Collection School Of Computing and Information Systems

In this paper, we propose the Topical Communities and Personal Interest (TCPI) model for simultaneously modeling topics, topical communities, and users’ topical interests in microblogging data. TCPI considers different topical communities while differentiating users’ personal topical interests from those of topical communities, and learning the dependence of each user on the affiliated communities to generate content. This makes TCPI different from existing models that either do not consider the existence of multiple topical communities, or do not differentiate between personal and community’s topical interests. Our experiments on two Twitter datasets show that TCPI can effectively mine the representative topics for …