Social Media Commons^™

Media Literacy And Social Media Usage Analysis In Communication And Non-Communication Students Of University Of Amikom Yogyakarta, Dendy Suseno Adhiarso, Mohammad Suyanto

Informasi

Media literacy is the ability to understand, analyze, and deconstruct media images. The ability to do it is intended that the public as a media consumer becomes aware of how the media are built and accessed. The aims of this study are (1) to study the level of media literacy and social media usage patterns in communication and non-communication students. (2) to know the correlation between media literacy and social media usage patterns in communication and non-communication students. (3) comparing media literacy and social media usage patterns in communication and non-communication students. The population in this study were students …

State Position Among Of The Information Technology Paradigm: Review Of The Media Literacy Movement By Diy Kpid And Btkp Diy, Firly Annisa

Informasi

The Democratic System of Pancasila that has been chosen by Indonesian founders give several consequences. The state needs to be responsible for regulating equality policies for every citizen. Not only about the issue of equitable economic resources but also equal access to information. In the context of the country, democracy and markets equal access to information can be understood as information technology paradigm. This paradigm means that all systems that use by technology information are defined by networking sense, which is an empowering citizen to influence a wide variety of processes. Through the observation and depth of methods, this research …

Generasi Millenial Dan Absurditas Debat Kusir Virtual, Noveliyati Sabani

Informasi

Head, Alison J. & Eisenberg, Michael B. (2009). “How College Students Seek Information in the Digital Age?” Project of Information Literacy, University of Washington.

The Narration Of Digital Literacy Movement In Indonesia, Mery Yanti, Yusnaini Yusnaini

Informasi

This article aims to analyze the digital literacy movement in Indonesia and its determinant using the narrative approach. Empirical research is carried out with qualitative content analysis methods. The primary data of the study came from 255 online news which contained digital literacy keywords that were detected by Google search engines and published in trusted online media. Secondary data collected from publications of government, private, and civil society organizations related to digital literacy. We use an interactive model and Atlas.ti 8 to analyze research data. The results showed that each actor had a variety of views about the definitions and …

Affordances On Facebook, Stress, And Emotional Support, Caitlin Rose Rethwish

Dissertations and Theses

This study discusses Facebook as a social network site and a social media application. It compares perceived emotional support, general life stress, and media affordance-based stress from two participant samples - one that reported using the Facebook desktop site most frequently to reach out for emotional support, and one that reported using the mobile application.

The media affordance measure asked participants if perceiving a media affordance was more likely to increase or decrease their stress. In both samples, persistence was more likely to decrease stress, and personalization was more likely to increase stress. On the Facebook Desktop site, searchability was …

How To Maximize Your Small Business's Impact On Social Media, Brianna J. Arnaud

LSU New Orleans Theses and Dissertations

This thesis is meant to be a learning tool to help small businesses use free social media accounts as business marketing tools. The manual is broken down into chapters highlighting the importance of “Knowing your Audience,” “Branding,” “Constructing a Post,” “Using Visual Rhetoric,” and “Expanding your Audience.”. This thesis is inspired by scholars of English, internet linguistics, journalism, gender theory, professional writing, and rhetoric. It is also inspired by a survey of 18 small businesses in the Lafayette, Louisiana area. The survey helped to focus my research on the social media issues of small businesses in the southern region of …

The Effects Of Social Proof Through Social Media On Perceptions Of Responsibility, Taylor Powers

Electronic Theses and Dissertations

Situational crisis communication theory, also referred to as SCCT, is a central and very well-developed theory in the field of crisis communication. The goal of SCCT is to create a response strategy based on stakeholders’ levels of attributions of responsibility. SCCT states there are two main factors stakeholders take into consideration when attributing responsibility to an organization in crisis: crisis type and performance history. While the previously stated factors are very important, the progressive development of social media is not taken into consideration in this theory, specifically the use of social proof through social media channels. According to the principle …

Parental Verbal Mediation For Children's Internet Use, Daeun Grace Lee

Graduate Theses, Dissertations, and Capstones

This study explores the different communication strategies parents employ when speaking to their children about their Internet use. The Internet is continuously and rapidly expanding in terms of content range and mobility, and is becoming more and more an integrated and essential part of children across the nation. Thus, parents must be willing and equipped to educate their children about their habits of Internet use through effective mediation strategies. The goal of this study is to understand not only how parents speak to their children about their Internet use, but also how parents currently perceive the significance of these conversations. …

Rwu First Amendment Blog: David Logan's Blog: Recognizing The Free Press In The Crosshairs Across The Globe 12-12-2018, David A. Logan

Life of the Law School (1993- )

No abstract provided.

Spreading The Good News: Analyzing Socially Shared Inspirational News Content, Qiaho Ji, Arthur A. Raney, Sophie Janicke-Bowles, Katherine R. Dale, Mary Beth Oliver, Abigail Reed, Jonmichael Seibert, Arthur A. Raney Ii

Communication Faculty Articles and Research

Past research indicates that people often share awe-inspiring news online. However, little is known about the content of those stories. In this study, more broadly defined “inspirational” articles shared through The New York Times website over a 6-month period were analyzed, with the goals of describing the content and identifying characteristics that might predict inspirationality and measures of retransmission. The results provided a snapshot of content found within inspirational news stories; they also revealed that self-transcendent language use predicted the inspirationality of a news story, as well as how long an article appeared on a most shared list.

An Examination Of Cultural Sharing By Saudi Citizens Using Instagram, Hind Mouria

Student Theses and Dissertations

Cultural sharing has been expedited due to the rapid spread of social media in Saudi Arabia, one of the largest and most prosperous countries in the Middle East. Saudi citizens are extremely active on social media, and even government officials use it to share information. Through social media, Saudi citizens have been able to share their forward-thinking culture with the world and learn about other cultures. This study seeks to understand how Saudi citizens use Instagram, one of the most popular social media sites in the country, to share and learn about other cultures. The “snowball” sampling method was used …

Social Media And Self-Esteem: The Relationship Between Social Media And Self-Esteem, Jody Don Barker

Student Theses and Dissertations

With social media being a prominent platform in the days of sharing information over the internet, it can affect one’s self-esteem if not careful. The current study examines the relationship of social media usage and self-esteem. From the 218 participants surveyed, results show that social media does have some influence on a person’s self-esteem. A person with a high self-esteem is more likely to use social media for finding entertaining content, promote products/services, and talk about their accomplishments, while a person with a low self-esteem will use it to not feel alone, but they do not post selfies. There was …

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 …

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.

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.

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.

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. …

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

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.

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 …

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 …