Social Media Commons^™

Social Media Around The Table, Luralyn M. Helming

Faculty Work Comprehensive List

"Social media and smart phones will probably affect your next social interaction—especially social gatherings of many people."

Posting about being present with loved ones during the holidays from In All Things - an online journal for critical reflection on faith, culture, art, and every ordinary-yet-graced square inch of God’s creation.

https://inallthings.org/social-media-around-the-table/

Using Social Media To Assess The Consumer Nutrition Environment: Comparing Yelp Reviews With A Direct Observation Audit Instrument For Grocery Stores, Ying Shen, Philippa Clarke, Iris N. Gomez-Lopez, Alex B. Hill, Daniel M. Romero, Robert Goodspeed, Veronica J. Berrocal, Vg Vinod Vydiswaran, Tiffany C. Veinot

Urban Studies and Planning Faculty Research Publications

Objective
To examine the feasibility of using social media to assess the consumer nutrition environment by comparing sentiment expressed in Yelp reviews with information obtained from a direct observation audit instrument for grocery stores.

Design
Trained raters used the Nutrition Environment Measures Survey in Stores (NEMS-S) in 100 grocery stores from July 2015 to March 2016. Yelp reviews were available for sixty-nine of these stores and were retrieved in February 2017 using the Yelp Application Program Interface. A sentiment analysis was conducted to quantify the perceptions of the consumer nutrition environment in the review text. Pearson correlation coefficients (ρ) were …

Leap Of Faith: Megachurches And The Struggle To Create A Brand Experience That Sells, Carly Middleton

Posters-at-the-Capitol

Leap of Faith: Megachurches and the struggle to create a brand experience that sells

Carly Middleton

Marcie Hinton, PhD

Department of Journalism and Mass Communications

Murray State University

As churches across the Commonwealth experience a decline in attendance, membership and giving, religious organizations are failing to connect with their audience and their organizational goals on social media. This exploratory content analysis evaluated the social media branding practices of Kentucky’s 20 megachurches and proposed areas of improvement.

A megachurch is defined as a Protestant Christian congregation with an average of 2,000 weekly attendees, including adults and children across all worship locations. …

Twitter And The Discovery Mindset, Singapore Management University

Perspectives@SMU

Understanding how social media is consumed can help make an ad more easily recalled

Extracting Drug-Drug Interactions With Character-Level And Dependency-Based Embeddings, John Cardiff, Liliya Akhtyamova

Conference Papers

The DDI track of TAC-2018 challenge addresses the problem of an information retrieval of drug-drug interactions on structured product labeling documents with discontinuous and overlapping entities. In this paper, we present our participation for event extraction subtask (Task 1). We used a supervised long-short-term memory (LSTM) network with conditional random fields decoding (LSTM-CRF) approach with an automatic exploring of words and characters features. Additional dependency-based information was integrated into word embeddings to allow better word representation. Our system performed with above median score.

Opinion Mining On Small And Noisy Samples Of Health-Related Texts, John Cardiff, Liliya Akhtyamova, Mikhail Alexandrov, Oleksiy Koshulko

Conference Papers

The topic of people’s health has always attracted the attention of public and private structures, the patients themselves and, therefore, researchers.

Social networks provide an immense amount of data for analysis of health- related issues; however it is not always the case that researchers have enough

data to build sophisticated models. In the paper, we artificially create this lim- itation to test performance and stability of different popular algorithms on small

samples of texts. There are two specificities in this research apart from the size of a sample: (a) here, instead of usual 5-star classification, we use combined classes reflecting …

Effects Of Cultural Tightness-Looseness And Social Network Density On Expression Of Positive And Negative Emotions: A Large-Scale Study Of Impression Management By Facebook Users, Pan Liu, David Chan, Lin Qiu, William Tov, Victor Joo Chuan Tong

Research Collection School of Social Sciences

Using data from 13,789 Facebook users across U.S. states, this study examined the main effects of societal-level cultural tightness–looseness and its interaction effects with individuals’ social network density on impression management (IM) in terms of online emotional expression. Results showed that individuals from culturally tight (vs. loose) states were more likely to express positive emotions and less likely to express negative emotions. Meanwhile, for positive emotional expression, there was a tightness–looseness by social network density interaction effect. In culturally tight states, individuals with dense (vs. sparse) networks were more likely to express positive emotions, while in culturally loose states this …

Linky: Visualizing User Identity Linkage Results For Multiple Online Social Networks (Demo), Roy Ka-Wei Lee, Ming Shan Hee, Philips Kokoh Prasetyo, Ee-Peng Lim

Research Collection School Of Computing and Information Systems

User identity linkage across online social networks is an emerging research topic that has attracted attention in recent years. Many user identity linkage methods have been proposed so far and most of them utilize user profile, content and network information to determine if two social media accounts belong to the same person. In most cases, user identity linkage methods are evaluated by performing some prediction tasks with the results presented using some overall accuracy measures. However, the methods are rarely compared at the individual user level where a predicted matched (or linked) pair of user identities from different online social …

Imaginary People Representing Real Numbers: Generating Personas From Online Social Media Data, Jisun An, Haewoon Kwak, Soongyo Jung, Joni Salminen, M. Admad, Bernard J. Jansen

Research Collection School Of Computing and Information Systems

We develop a methodology to automate creating imaginary people, referred to as personas, by processing complex behavioral and demographic data of social media audiences. From a popular social media account containing more than 30 million interactions by viewers from 198 countries engaging with more than 4,200 online videos produced by a global media corporation, we demonstrate that our methodology has several novel accomplishments, including: (a) identifying distinct user behavioral segments based on the user content consumption patterns; (b) identifying impactful demographics groupings; and (c) creating rich persona descriptions by automatically adding pertinent attributes, such as names, photos, and personal characteristics. …

Improving Multi-Label Emotion Classification Via Sentiment Classification With Dual Attention Transfer Network, Jianfei Yu, Luis Marujo, Jing Jiang, Pradeep Karuturi, William Brendel

Research Collection School Of Computing and Information Systems

In this paper, we target at improving the performance of multi-label emotion classification with the help of sentiment classification. Specifically, we propose a new transfer learning architecture to divide the sentence representation into two different feature spaces, which are expected to respectively capture the general sentiment words and the other important emotion-specific words via a dual attention mechanism. Extensive experimental results demonstrate that our transfer learning approach can outperform several strong baselines and achieve the state-of-the-art performance on two benchmark datasets.

Recommending Who To Follow In The Software Engineering Twitter Space, Abhabhisheksh Sharma, Yuan Tian, Agus Sulistya, Dinusha Wijedasa, David Lo

Research Collection School Of Computing and Information Systems

With the advent of social media, developers are increasingly using it in their software development activities. Twitter is one of the popular social mediums used by developers. A recent study by Singer et al. found that software developers use Twitter to “keep up with the fast-paced development landscape.” Unfortunately, due to the general-purpose nature of Twitter, it’s challenging for developers to use Twitter for their development activities. Our survey with 36 developers who use Twitter in their development activities highlights that developers are interested in following specialized software gurus who share relevant technical tweets.To help developers perform this task, in …

Comparing Elm With Svm In The Field Of Sentiment Classification Of Social Media Text Data, Zhihuan Chen, Zhaoxia Wang, Zhiping Lin, Ting Yang

Research Collection School Of Computing and Information Systems

Machine learning has been used in various fields with thousands of applications. Extreme learning machine (ELM), which is the most recently developed machine learning algorithm, has become increasingly popular for its good generalization ability. However, it has been relatively less applied to the domain of social media. Support Vector Machine (SVM), another popular learning-based algorithm, has been applied for sentiment classification of social media text data and has obtained good results. This paper investigates and compares the capabilities of these two learning-based methods in the field of sentiment classification of social media. The results indicate that SVM can obtain good …

Tweeting The Ir, Paul Royster

DC-HUG '18

Social media has become an important means of keeping up to date for busy IR managers. Limited to short, pithy messages, but permitting linking and re-tweeting, the Twitter medium is both handy and powerful … when used appropriately. Alternatively, it can become a portal to fascinating, entertaining, horrifying, and time-consuming off-topic content and even an avenue for online harrassment. The presentation for DC-HUG will involve audience participation, and will include discussions of appropriate forms of identity, good and bad avatars, who to follow for scholarly communications subjects, whom to avoid for greater peace of mind, what are appropriate subjects, how …

Social Media For Good? A Survey On Millennials’ Inspirational Social Media Use, Sophie Janicke-Bowles, Ava Nayaran, Anja Seng

Communication Faculty Articles and Research

There is no doubt about the extensive use of social media by the millennial generation, but the study of the effects of such use is only in its infancy. Though most studies so far focus on the negative effects of overall time spent on social media, the current study investigated the relationship between exposure to a specific type of content on social media and well-being outcomes: namely, inspirational content. Results of an online survey with a total of 146 students revealed that inspiring social media and online video use, but not overall time spent on social media was related to …

Millennials And The Increasing Use Of Social Media: Impact On The Employee Life Cycle, Sarah M. Pryor

Student Publications

The millennial generation is a generation of society that values technology, media, and connections, all three being equally important. This paper studies and theorizes the implications that social media has had on the workplace throughout the employee life cycle and how the traditional processes of this cycle have been altered. In the workforce, this aspect of the employee life cycle incorporates all different stages an employee goes through. From networking to being hired, to forming connections with co-workers, to working hard and performing well, to being fired, social media has impacted each stage of this cycle. Social media is a …

The Media Effect And The Implications For Racial Minority Groups, Hailey E. Hoffman

Student Publications

The Media Effects Theory explains the impact media exposure can have on both the individual and societal level. Recent studies have shown that the increase in media consumption influences the perceptions an individual develops about their self and of other groups. The attitudes individuals develop become more susceptible to media influence when they are given smart technology starting in early childhood. The lack of diversity and negative stereotypes portrayed within the media magnifies the media effect experienced by minority users. The news, entertainment, fashion, and beauty industries are areas of the media that society has become particularly fixed on. These …

Transforming Library And Information Services Delivery Using Innovation Technologies, Ogar Christopher Eje Mr, Tangkat Yusuf Dushu Mr.

Library Philosophy and Practice (e-journal)

In todays’ world, library and information services delivery are being transformed from their manual operations to new ways using technology. The study identified the paradigm shift in libraries and information services as a direct consequence of innovation technologies. The key concepts in the study are discussed. The new technology and communication tools are employed in rendering services to the patrons through appropriate channels for access to information with cluster of technologies referred to as the internet. Information technology has brought in sweeping changes in the way libraries function. Libraries need to access, evaluate, and measure the impact of information technology …

The Role Of Snapchat In The Dynamics Of E-Commerce And Communication In Saudi Arabia, Hessah Alqahtani

Student Theses and Dissertations

This online survey sought to identify how Saudi Arabians use Snapchat as an e-commerce and communication tool. The Uses and Gratifications, and Diffusion of Innovation Theories were used to reach the study’s goals. The “Snowball” sampling method was used to target 486 participants. Saudi Snapchat users use it as a communication tool, as opposed to other social media that are used for online shopping and e-commerce. The majority of participants aged between 18 and 30 years (66.9%) use Snapchat. With advancing age, its use declines. A few Saudi people see Snapchat as an effective e-commerce platform. 20.9% use it for …

Operating A Digital Marketing Agency Out Of China, Singapore Management University

Perspectives@SMU

Mobile Now has to contend with the Great Firewall of China but the opportunities for growth outweigh the technical obstacles

Building Classifiers With Gmdh For Health Social Networks (Bd Askapatient), John Cardiff, Liliya Akhtyamova, Mikhail Alexandrov

Conference Papers

Health social media offer useful data for patients and doctors concerning both various medicines and treatments. Usually, these data are accompanied by their assessments in 5- star scale. But such a detail classification has small usefulness because patients and doctors, first of all, want to know about negative cases and to study in detail the extreme ones. In the paper we build classifiers of texts just for these cases using combined classes as negative, all others and worst, satisfactory, best. For this, we study possibilities of different GMDH-based algorithms and compare them with the results of other methods. The selection …