Communication Commons^™

Profiling The Audience For Self-Transcendent Media: A National Survey, Arthur A. Raney, Sophie Janicke-Bowles, Mary Beth Oliver, Katherine R. Dale, Robert P. Jones, Daniel Cox

Communication Faculty Articles and Research

This article reports the findings from a national survey of self-transcendent (or inspiring) media audience members in the United States. Exposure to self-transcendent content is socially significant because, theoretically, it can orient users towards matters beyond themselves, ultimately promoting connections with others and altruistic behaviors. However, to date, little is known about the daily audiences for such fare. Four primary questions guided the investigation: (1) What are the media sources and contents identified as “inspiring” by the audience?, (2) Who makes up the current U.S. audience for self-transcendent media content?, (3) What personality traits and viewer characteristics are associated with …

A Checklist For Mortals: Preparing For Death’S Arrival, Becky Daniel

College of Journalism and Mass Communications: Professional Projects

We learn everything from our parents—how to walk, talk and treat potential life partners. Yet our culture in the United States makes it difficult to talk to our parents about death and those consequences have a real impact. Closing a loved one’s estate can stretch from months to years without proper planning. While death is constant, the death industry is not. It is ever changing. And while all lives have equal value, there are many preparations that one person may need (veteran, parent, lotto winner) while another does not. The best way to prepare for death is to know its …

Deflection, Disassociation, & Acknowledgement: A Content Analysis Of The 2011-2014 Media Framing Of Hydraulic Fracturing And Oklahoma Earthquakes, Alicia Mason, Catherine Hooey, James Triplett

Faculty Submissions

In June of 2014, geologists reported that, for the first time, more earthquakes greater than magnitude 3.0 occurred in Oklahoma than in California [Terry-Cobo, 2014]. In Oklahoma, the frequency of earthquakes that are strong enough to be felt has increased 44 times in recent years and this has been correlated to a dramatic increase in high-volume, horizontal hydraulic fracturing (HVHHF) operations [Hume, 2014]. The aims of this study are: (1) to determine how hydraulic fracturing, commonly called fracking, and Oklahoma earthquakes are framed by print-based media at the local, national, and international levels; (2) to understand how the association between …

Multilingual Sentiment Analysis : From Formal To Informal And Scarce Resource Languages, Siaw Ling Lo, Erik Cambria, Raymond Chiong, David Cornforth

Research Collection School Of Computing and Information Systems

The ability to analyse online user-generated content related to sentiments (e.g., thoughts and opinions) on products or policies has become a de-facto skillset for many companies and organisations. Besides the challenge of understanding formal textual content, it is also necessary to take into consideration the informal and mixed linguistic nature of online social media languages, which are often coupled with localised slang as a way to express ‘true’ feelings. Due to the multilingual nature of social media data, analysis based on a single official language may carry the risk of not capturing the overall sentiment of online content. While efforts …

Inferring Social Media Users’ Demographics From Profile Pictures: A Face++ Analysis On Twitter Users, Soon-Gyo Jung, Jisun An, Haewoon Kwak, Joni Salminen, Bernard J. Jansen

Research Collection School Of Computing and Information Systems

In this research, we evaluate the applicability of using facial recognition of social media account profile pictures to infer the demographic attributes of gender, race, and age of the account owners leveraging a commercial and well-known image service, specifically Face++. Our goal is to determine the feasibility of this approach for actual system implementation. Using a dataset of approximately 10,000 Twitter profile pictures, we use Face++ to classify this set of images for gender, race, and age. We determine that about 30% of these profile pictures contain identifiable images of people using the current state-of-the-art automated means. We then employ …

"Active Team" A Social And Gamified App-Based Physical Activity Intervention: Randomised Controlled Trial Study Protocol, Sarah Edney, Ronald Plotnikoff, Corneel Vandelanotte, Tim Olds, Ilse De Bourdeaudhuij, Jillian Ryan, Carol Maher

Research outputs 2014 to 2021

Background

Physical inactivity is a leading preventable cause of chronic disease and premature death globally, yet over half of the adult Australian population is inactive. To address this, web-based physical activity interventions, which have the potential to reach large numbers of users at low costs, have received considerable attention. To fully realise the potential of such interventions, there is a need to further increase their appeal to boost engagement and retention, and sustain intervention effects over longer periods of time. This randomised controlled trial aims to evaluate the efficacy of a gamified physical activity intervention that connects users to each …

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 …

Reaching Out: Expanding Your Library’S Online Presence Using Online Tools, Erin Gow

Faculty Scholarship

The article offers information on expanding the online presence of a library, with examples from the law library at the University of Louisville. Topics discussed include using social media to reach the target audience, generating content, and developing a brand.

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 …

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, …

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 …

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

Perspectives@SMU

Feeling empowered is not the same as being empowered

#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 …

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

WKU Archives Records

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. …

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 …

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 …

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

Faculty Scholarship

No abstract provided.

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).

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 …

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 …

Generating Cultural Personas From Social Data: A Perspective Of Middle Eastern Users, Salminen Joni, Sercan Sengün, Haewoon Kwak, Bernard Jansen, Jisun An, Soon-Gyo Jung, Sarah Vieweg, D. Fox Harrell

Research Collection School Of Computing and Information Systems

We conduct a mixed-method study to better understand the content consumption patterns of Middle Eastern social media users and to explore new ways to present online data by using automatic persona generation. First, we analyze millions of content interactions on YouTube to dynamically generate personas describing behavioral patterns of different demographic groups. Second, we analyze interview data on social media users in the Middle Eastern region to generate additional insights into the dynamically generated personas. Our findings provide insights into social media users in the Middle East, as well as present a novel methodology of using computational analysis and qualitative …

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 …

Blogs As Channels For Disseminating Health Technology Innovations, Ashish Joshi, Rinzin Wangmo, Chioma Amadi

Publications and Research

Objectives: The objective of this study was to describe the features of health informatics blogs on the Internet.

Methods: A search was conducted in August, 2016 using the search engine, Google, and key words: ‘mobile health blog,’ ‘telehealth/telemedicine blog,’ ‘Electronic Health Record blog,’ ‘personalized health record blog,’ ‘population health decision support system blog,’ and ‘public/population health dashboard blog.’ The first 24 blogs resulting from each key word search were recorded, generating 144 blogs. A total of 109 unique blogs resulted after removing duplicates and non-functional sites.

Results: Blogs with ‘.com’ extensions were most prevalent (72%, n = 79). More than …

Children's Perceptions Of Cyberbullying, Julissa Bonilla

Media and Communication Studies Summer Fellows

This study analyzed children’s perceptions of cyberbullying in a focus group of six youths, ages 10-15. The primary goal of this research was to supplement and expand on previous cyberbullying research that focused heavily on surveys, but didn’t provide youths’ voices or perspectives (Lenhart, 2010; Wang et al., 2009). Specifically, participants were asked to share their definitions of cyberbullying, their opinions about its pervasiveness, and their thoughts about the connection between cyberbullying and self-disclosure. Findings show that children’s perceptions of cyberbullying are similar to those identified in previous, survey-based research. Participants noted the role of technology in facilitating regular bullying …

A Multimodal Discourse Analysis Exploration Of A Crowdfunding Entrepreneurial Pitch., Victoria Doyle, Olivia Freeman, Brendan K. O`Rourke

Conference papers

This paper explores multimodal discourse analysis (Kress and Van Leeuwen, 2001) as a methodology to address the research question: How are environmentally conscious entrepreneurial ventures constituted in online investment crowd-funding pitches and the communications that surround them? While discourse may be realised in many different ways (Kress and Van Leeuwen, 2001 p.5, Bezemer and Jewit, 2010), multimodal discourse analysis focuses on analysing and describing a repertoire of meaning making resources which individuals use in various contexts (visual, gestural, written, actional etc.). Broadband internet and associated technologies mean that these crowdfunding pitches and many other genres tend to be much richer …

College Students And Online Political Expression During The 2016 Election, Kenneth W. Moffett, Laurie L. Rice

SIUE Faculty Research, Scholarship, and Creative Activity

While college students traditionally exhibit low levels of political participation and interest in politics, they are more likely to engage in some forms of political expression than their elders. Their greater familiarity with online forms of political expression and engagement potentially lowers their barriers for political involvement. In turn, this potentially draws more young adults into the political process. We compare the precursors of expressive forms of online political engagement to those of talking to someone offline and trying to persuade them to vote for or against a candidate or party among college students. We find that both activities are …

Social Capital Of Directors And Corporate Governance: A Social Network Analysis, Zihan Niu, Christopher C. H. Chen

Research Collection Yong Pung How School Of Law

This Article examines how a director’s social capital might affect his or her behavior, the board’s performance, and corporate governance, as well as the potential normative implications of the director’s social network. We argue that the quality of board performance could be improved where the social network closure within the board is high and there are many non-redundant contacts beyond the board. Network closure can improve trust and collaboration within a board, while external contacts may benefit a company with more diverse sources of information. Moreover, different network positioning leads to the inequality of social capital for directors. With more …

The Role Of Different Tie Strength In Disseminating Different Topics On A Microblog, Felicia Natali, Kathleen M. Carley, Feida Zhu, Binxuan Huang

Research Collection School Of Computing and Information Systems

The study of information flow typically does not distinguish the choices of tie strength on which the information flows. All receivers of the information are assumed to have the same potential to pass on the information. Modifying the SEIZ (susceptible, exposed, infected, skeptic) model, we discover that people choose to retweet strong or weak ties based on the topic. We made two modifications in the model. In the first modification (Model I), we assume that the contact rates of agents in different compartment and the probability of an agent transitioning from one compartment to another are different for strong ties …

A Domain Based Approach To Social Relation Recognition, Qianru Sun, Bernt Schiele, Mario Fritz

Research Collection School Of Computing and Information Systems

Social relations are the foundation of human daily life. Developing techniques to analyze such relations from visual data bears great potential to build machines that better understand us and are capable of interacting with us at a social level. Previous investigations have remained partial due to the overwhelming diversity and complexity of the topic and consequently have only focused on a handful of social relations. In this paper, we argue that the domain-based theory from social psychology is a great starting point to systematically approach this problem. The theory provides coverage of all aspects of social relations and equally is …