Social Media Commons^™

Perceived Impact Of Twitter On Saudi Arabian Users' Perceptions Of Their Personal Identities, Barrak Abdulrahman Alhumaid

Student Theses and Dissertations

Twitter is one of the most influential platforms for the Saudi Arabian society. This illustrates the number of Saudi users in Twitter which reaches 13 million. Hence, this paper seeks to identify how Saudi users express their personal and social identities through this particular platform. Moreover, it aims to identify the factors that influence the use of Twitter in Saudi Arabia. Further, this paper seeks to identify how the Saudi use of Twitter influences the development of expressing their personal identities. The results show that the users' personal identities are more important than their social ones in Twitter. However, being …

How Do Communication Modalities Influence Intergenerational Communication?, April Pierce, Candace Payne

Concordia Journal of Communication Research

This cross-sectional study analyzes the rapidly developing landscape of online communications. In particular, it studies the modalities used by three generations, which include baby boomers, Gen X, and Gen Y/millennials. In addition to analyzing their preferred methods, researchers also studied the conflicting views on other generations. This was done through data collected from an online survey administered via email and social media posts. It was hypothesized that the gaps in communication styles between different generations would be significantly different than the other generations mentioned. Researchers found that while generational differences are still present among the three demographics studied, a significant …

Project Renew Worcester, Danni Yue, Amy Zhang, Jing Han, Omid Ashrafi, Yiming Xu

School of Professional Studies

n The client for this capstone project is RENEW Worcester which is a fledgling solar power project whose main goals are to bring renewable energy in the form of solar power into local, primarily low-income communities and are committed to the mission of making the transition off of fossil fuels to clean, renewable power. Based in Worcester, Massachusetts, they are a local chapter of Co-op Power which is a consumer-owned sustainable energy cooperative (co-op) made up of numerous different local chapters all over the New England area as well as the state of New York. The problem that we will …

Meeting “The One” At Midnight Is Your Destiny: The Role Of Yuan In Use Of The Taiwanese Social Network, Dcard, Wen-Yueh Shu

Electronic Theses, Projects, and Dissertations

This study examines how Taiwanese college students understand the traditional, culturally Chinese concept of Yuan and its role in their use of a new and distinctive Taiwanese social networking site—Dcard. Particular attention is paid to the Dcard’s unique friending mechanism, which provides users the opportunity to connect (or not) with one, seemingly random new friend each day at midnight. Through thematic analysis of 15 semi-structured long interviews, the study finds that Dcard users understand Yuan as a multi-faceted concept pertaining primarily to interpersonal relationships (relationalism). Users perceive Yuan to influence relationships in a predetermined, causal fashion (fatalism), but they still …

Crude Oil Prices Forecasting: Time Series Vs. Svr Models, Xin James He

Journal of International Technology and Information Management

This research explores the weekly crude oil price data from U.S. Energy Information Administration over the time period 2009 - 2017 to test the forecasting accuracy by comparing time series models such as simple exponential smoothing (SES), moving average (MA), and autoregressive integrated moving average (ARIMA) against machine learning support vector regression (SVR) models. The main purpose of this research is to determine which model provides the best forecasting results for crude oil prices in light of the importance of crude oil price forecasting and its implications to the economy. While SVR is often considered the best forecasting model in …

Table Of Contents Jitim Vol 27 Issue 3, 2018

Journal of International Technology and Information Management

Table of Contents

Using Sas™ Software To Enhance Pedagogy For Text Mining And Sentiment Analysis Using Social Media (Twitter™) Data, Ramesh Subramanian, Danielle Cote

Journal of International Technology and Information Management

This pedagogical paper describes how a graduate course in Text Mining was developed and taught in a fully online format at Quinnipiac University. The software used was SAS™ Enterprise Miner. This paper discusses the design, software used and the methodology followed in the course. A critical component of the course required the students to delve deep into social media data by completing a detailed project on analyzing sentiment analysis using large files of social media data. A sample report of this project, which was a key deliverable for the course, is described at length in this paper.

Social Software Development: Insights And Solutions, Abhishek Sharma

Dissertations and Theses Collection (Open Access)

Over last few decades, the way software is developed has changed drastically. From being an activity performed by developers working individually to develop standalone programs, it has transformed into a highly collaborative and cooperative activity. Software development today can be considered as a participatory culture, where developers coordinate and engage together to develop software while continuously learning from one another and creating knowledge.

In order to support their communication and collaboration needs, software developers often use a variety of social media channels. These channels help software developers to connect with like-minded developers and explore collaborations on software projects of interest. …

Data Mining Approach To The Detection Of Suicide In Social Media: A Case Study Of Singapore, Jane H. K. Seah, Kyong Jin Shim

Research Collection School Of Computing and Information Systems

In this research, we focus on the social phenomenon of suicide. Specifically, we perform social sensing on digital traces obtained from Reddit. We analyze the posts and comments in that are related to depression and suicide. We perform natural language processing to better understand different aspects of human life that relate to suicide.

Riley's "Be The Parent, Please: Stop Banning Seesaws And Start Banning Snapchat: Strategies For Solving The Real Parenting Problems" (Book Review), Laura E. Walton

The Christian Librarian

No abstract provided.

Friendship In The Age Of Social Media In Saudi Arabia, Rayan Faleh Alotaibi

Student Theses and Dissertations

The use of social media platforms has grown in recent days. It is well known that social networks are one of the greatest methods that friendships are developed in this age of technology. The world has been reduced to a universal community with an increase in information technology which has influenced social forms such as relationships and friendship. This paper seeks to examine how the use of social media influences friendships in Saudi Arabia; further, this paper seeks to identify how the culture of Saudi Arabia influences the development of friendship. The study used an online survey which involved 407 …

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

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. …

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 …

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 …

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.

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 …