Text analytics of social media: Sentiment analysis, event detection and summarization

In the last decade, large numbers of social media services have emerged and been widely used in people's daily life as important information sharing and acquisition tools. With a substantial amount of user-contributed text data on social media, it becomes a necessity to develop methods and tools for text analysis for this emerging data, in order to better utilize it to deliver meaningful information to users. ^ Previous work on text analytics in last several decades is mainly focused on traditional types of text like emails, news and academic literatures, and several critical issues to text data on social media have not been well explored: 1) how to detect sentiment from text on social media; 2) how to make use of social media's real-time nature; 3) how to address information overload for flexible information needs. ^ In this dissertation, we focus on these three problems. First, to detect sentiment of text on social media, we propose a non-negative matrix tri-factorization (tri-NMF) based dual active supervision method to minimize human labeling efforts for the new type of data. Second, to make use of social media's real-time nature, we propose approaches to detect events from text streams on social media. Third, to address information overload for flexible information needs, we propose two summarization framework, dominating set based summarization framework and learning-to-rank based summarization framework. The dominating set based summarization framework can be applied for different types of summarization problems, while the learning-to-rank based summarization framework helps utilize the existing training data to guild the new summarization tasks. In addition, we integrate these techneques in an application study of event summarization for sports games as an example of how to better utilize social media data. ^

Text Analytics of Social Media: Sentiment Analysis, Event Detection and Summarization

In the last decade, large numbers of social media services have emerged and been widely used in people's daily life as important information sharing and acquisition tools. With a substantial amount of user-contributed text data on social media, it becomes a necessity to develop methods and tools for text analysis for this emerging data, in order to better utilize it to deliver meaningful information to users. Previous work on text analytics in last several decades is mainly focused on traditional types of text like emails, news and academic literatures, and several critical issues to text data on social media have not been well explored: 1) how to detect sentiment from text on social media; 2) how to make use of social media's real-time nature; 3) how to address information overload for flexible information needs. In this dissertation, we focus on these three problems. First, to detect sentiment of text on social media, we propose a non-negative matrix tri-factorization (tri-NMF) based dual active supervision method to minimize human labeling efforts for the new type of data. Second, to make use of social media's real-time nature, we propose approaches to detect events from text streams on social media. Third, to address information overload for flexible information needs, we propose two summarization framework, dominating set based summarization framework and learning-to-rank based summarization framework. The dominating set based summarization framework can be applied for different types of summarization problems, while the learning-to-rank based summarization framework helps utilize the existing training data to guild the new summarization tasks. In addition, we integrate these techneques in an application study of event summarization for sports games as an example of how to better utilize social media data.

The Impact of Social Media in the Workplace

Today, individuals communicate easier and faster due to accessibility of the Internet. However, when employees are distracted with social media, it can become a concern for organizations. This paper reviews literature concerning social media and its implications at workplaces, and provides recommendations to control it, using Adams’ equity theory (1963).

Using Social Media to Build Your Academic Brand

This professional development session will review recent research on the use of social media by faculty and academic staff. The bulk of the presentation will focus on social media strategies and techniques that attendees can use to develop and build their academic brand. This session will be useful to various audiences including established faculty, new faculty and graduate students.

Can Technologies and Social Media Accelerate Cuba's Democratization?

This flyer promotes a lecture by Cuban blogger and independent journalist Yoani Sanchez, founder of the blog Generacion Y and one of Time Magazine's 100 most influential people in the world. This lecture was held at the Wertheim Performing Arts Center at FIU Modesto A. Maidique Campus on April 1,2013.

Online News Media Impact on Disaster Response: October 26, 2010 Indonesian Disaster Case Study

This paper reflects a research project on the influence of online news media (from print, radio, and televised outlets) on disaster response. Coverage on the October 2010 Indonesian tsunami and earthquake was gathered from 17 sources from October 26 through November 30. This data was analyzed quantitatively with respect to coverage intensity over time and among outlets. Qualitative analyses were also conducted using keywords and value scale that assessed the degree of positivity or negativity associated with that keyword in the context of accountability. Results yielded insights into the influence of online media on actors' assumption of accountability and quality of response. It also provided information as to the optimal time window in which advocates and disaster management specialists can best present recommendations to improve policy and raise awareness. Coverage of outlets was analyzed individually, in groups, and as a whole, in order to discern behavior patterns for a better understanding of media interdependency. This project produced analytical insights but is primarily intended as a prototype for more refined and extensive research.

Mining the online social network data: Influence, summarization, and organization

Online Social Network (OSN) services provided by Internet companies bring people together to chat, share the information, and enjoy the information. Meanwhile, huge amounts of data are generated by those services (they can be regarded as the social media ) every day, every hour, even every minute, and every second. Currently, researchers are interested in analyzing the OSN data, extracting interesting patterns from it, and applying those patterns to real-world applications. However, due to the large-scale property of the OSN data, it is difficult to effectively analyze it. This dissertation focuses on applying data mining and information retrieval techniques to mine two key components in the social media data — users and user-generated contents. Specifically, it aims at addressing three problems related to the social media users and contents: (1) how does one organize the users and the contents? (2) how does one summarize the textual contents so that users do not have to go over every post to capture the general idea? (3) how does one identify the influential users in the social media to benefit other applications, e.g., Marketing Campaign? The contribution of this dissertation is briefly summarized as follows. (1) It provides a comprehensive and versatile data mining framework to analyze the users and user-generated contents from the social media. (2) It designs a hierarchical co-clustering algorithm to organize the users and contents. (3) It proposes multi-document summarization methods to extract core information from the social network contents. (4) It introduces three important dimensions of social influence, and a dynamic influence model for identifying influential users.

The Impact of Different Types of Media on Tourists' Behavioral Intentions

The primary purpose of this study was to examine how much different types of media affect a tourist’s decision when choosing a destination to travel. Further, this study attempted to investigate the impact of the different types of media on a tourist’s behavioral intentions. A primary field survey was designed for this study to collect data and multivariate analysis of variance (MANOVA) was performed to analyze the data and test the hypotheses. As a result, the most influential media form for choosing a destination to travel was social media, while brochure ranked the last. Subsequently, demographic factors showed noticeable propensities for the different types of media. Lastly, media types had a significant impact on three behavioral intentions for traveling as well. Study findings are expected to provide valuable information to better utilize the media as a marketing tool for the tourism industry.

Mining the Online Social Network Data: Influence, Summarization, and Organization

Online Social Network (OSN) services provided by Internet companies bring people together to chat, share the information, and enjoy the information. Meanwhile, huge amounts of data are generated by those services (they can be regarded as the social media ) every day, every hour, even every minute, and every second. Currently, researchers are interested in analyzing the OSN data, extracting interesting patterns from it, and applying those patterns to real-world applications. However, due to the large-scale property of the OSN data, it is difficult to effectively analyze it. This dissertation focuses on applying data mining and information retrieval techniques to mine two key components in the social media data — users and user-generated contents. Specifically, it aims at addressing three problems related to the social media users and contents: (1) how does one organize the users and the contents? (2) how does one summarize the textual contents so that users do not have to go over every post to capture the general idea? (3) how does one identify the influential users in the social media to benefit other applications, e.g., Marketing Campaign? The contribution of this dissertation is briefly summarized as follows. (1) It provides a comprehensive and versatile data mining framework to analyze the users and user-generated contents from the social media. (2) It designs a hierarchical co-clustering algorithm to organize the users and contents. (3) It proposes multi-document summarization methods to extract core information from the social network contents. (4) It introduces three important dimensions of social influence, and a dynamic influence model for identifying influential users.

The Impact of the Internet in Six Latin American Countries

Access to the Internet has grown exponentially in Latin America over the past decade. The International Telecommunications Union (ITU) estimates that in 2009 there were 144.5 million Internet users in South America, 6.4 million in Central America, and 8.2 million in the Caribbean, or a total 159.2 million users in all of Latin America.1 At that time, ITU reported an estimated 31 million Internet users in Mexico, which would bring the overall number of users in Latin America to 190.2 million people. More recent estimates published by Internet World Stats place Internet access currently at an estimated 204.6 million out of a total population of 592.5 million in the region (this figure includes Mexico).2 According to those figures, 34.5 per cent of the Latin American population now enjoys Internet access. In recent years, universal access policies contributed to the vast increase in digital literacy and Internet use in Argentina, Brazil, Chile, Colombia, and Costa Rica. Whereas the latter was the first country in the region to adopt a policy of universal access, the most expansive and successful digital inclusion programs in the region have taken hold in Brazil and Chile. These two countries have allocated considerable resources to the promotion of digital literacy and Internet access among low income and poor populations; in both cases, civil society groups significantly assisted in the promotion of inclusion at the grassroots level. Digital literacy and Internet access have come to represent, particularly in the area of education, a welcome complementary resource for populations chronically underserved in nations with a long-standing record of inadequate public social services. Digital inclusion is vastly expanding throughout the region, thanks to stabilizing economies, increasingly affordable technology, and the rapid growth in the supply of cellular mobile telephony. A recent study by the global advertising agency Razorfish revealed significant shifts in the demographics of digital inclusion in the major economies of South America, where Web access is rapidly increasing amid the lower middle class and the working poor.3 Several researchers have suggested that Internet access will bring about greater civic participation and engagement, although skeptics remain unsure this could happen in Latin America. Yet, there have been some recent instances of political mobilization facilitated through the use of the Web and social media applications, starting in Chile when “smart mobs” nationwide demonstrated against former Chilean President Michelle Bachelet when she failed to enact education reforms in May 2006. The Internet has also been used by marginalized groups and by guerrillas groups to highlight their stories. In sum, Internet access in Latin is no longer a medium restricted to the elite. It is rather a public sphere upon which civil society has staked its claim. Some of the examples noted in this study point toward a developing trend whereby civil society, through online grassroots movements, is able to effectively pressure public officials, instill transparency and demand accountability in government. Access to the Internet has also made it possible for voices on the margins to participate in the conversation in a way that was never previously feasible. 1 International Telecommunications Union [ITU], “Information Technology Public & Report,” accessed May 15, 2011, http://www.itu.int/. 2 Internet World Stats, “Internet Usage Statistics for the Americas,” accessed March 24, 2011, http://www.internetworldstats.com/stats2.htm 3 J. Crump, “The finch and the fox,” London, UK (2010), http://www.slideshare.net/razorfishmarketing/the-finch-and-the-fox.

Resistance Performances: (Re)constructing Spaces of Resistance and Contention in the 2010-2011 University of Puerto Rico Student Movement

On the night of April 20, 2010, a group of students from the University of Puerto Rico (UPR), Río Piedras campus, met to organize an indefinite strike that quickly broadened into a defense of accessible public higher education of excellence as a fundamental right and not a privilege. Although the history of student activism in the UPR can be traced back to the early 1900s, the 2010-2011 strike will be remembered for the student activists’ use of new media technologies as resources that rapidly prompted and aided the numerous protests. This activist research entailed a critical ethnography and a critical discourse analysis (CDA) of traditional and alternative media coverage and treatment during the 2010 -2011 UPR student strike. I examined the use of the 2010-2011 UPR student activists’ resistance performances in constructing local, corporeal, and virtual spaces of resistance and contention during their movement. In particular, I analyzed the different tactics and strategies of resistance or repertoire of collective actions that student activists used (e.g. new media technologies) to frame their collective identities via alternative news media’s (re)presentation of the strike, while juxtaposing the university administration’s counter-resistance performances in counter-framing the student activists’ collective identity via traditional news media representations of the strike. I illustrated how both traditional and alternative media (re)presentations of student activism developed, maintained, and/or modified students activists’ collective identities. As such, the UPR student activism’s success should not be measured by the sum of demands granted, but by the sense of community achieved and the establishment of networks that continue to create resistance and change. These networks add to the debate surrounding Internet activism and its impact on student activism. Ultimately, the results of this study highlight the important role student movements have had in challenging different types of government policies and raising awareness of the importance of an accessible public higher education of excellence.

Consumer Perceptions of Sustainability in the Cruise Industry

This thesis addresses the lack of available research regarding consumer perceptions of sustainability in the cruise industry. The study was conducted by administering an anonymous online survey with cruise message board participants and social media users. The survey was available to all consumers, including consumers who have not cruised. The survey focused on general reasons a consumer books a cruise, consumer travel behaviors, sustainability of the cruise industry, and sustainable factors that may impact a consumers’ choice of a cruise line. The goal of this research was to determine any patterns and trends that may emerge regarding consumer perceptions. The findings of the study showed cruise history and demographics have influenced consumer views on sustainability in the cruise industry.

Assessing Organizational Image: Triangulation Across Different Applicant Perceptions, Website, and Facebook Features

This study examined the role of corporate websites and company Facebook profiles in shaping perceptions of organizational image in the recruitment context. A primary purpose of this research was to determine whether or not perceptions of organizational image vary across different web-based recruitment methods, specifically examining corporate websites and social networking (SNW) sites, such as company Facebook profiles. A secondary goal was to determine how these perceptions of image are shaped by the objective components of websites and Facebook profiles. Finally, this study sought to determine the most influential components of websites and Facebook profiles, in terms of impacting image, to better understand how organizations can maximize their web-based recruitment efforts. A total of 102 companies selected from Fortune Magazine’s 2011 top 500 were chosen for the study. Perceptions of organizational personality as well as objective assessments of personality were gathered for each organization in a two phase approach. Results indicate that exposure to corporate websites and company Facebook profiles do influence perceptions of image in different ways. Furthermore, individual components of the websites were identified as key drivers for influencing specific image dimensions, particularly for company Facebook pages. Findings are beneficial for advising practitioners on how to best manage their web-based recruitment sources in order to maximize efficiency. The present study serves to further our understanding of the process through which perceptions of organizational image are influenced by new recruitment sources.

Hearing the Child's Voice: Their Lived Experience in the Pediatric Intensive Care Unit

Background: More than 200,000 children are admitted annually to Pediatric Intensive Care Units (PICUs) in the US. Research has shown young children can provide insight into their hospitalization experiences; child reports rather than parental reports are critical to understanding the child’s experience. Information relating to children’s perceptions while still in the PICU is scarce. Aims: The purpose of this qualitative study was to investigate school age children’s and adolescents’ perceptions of PICU while in the PICU; changes in perceptions after transfer to the General Care Unit (GCU); differences in perceptions of school age children/adolescents and those with more invasive procedures. Methods: Interviews were conducted in PICU within 24-48 hours of admission and 24-48 hours after transfer to GCU. Data on demographics, clinical care and number/types of procedures were obtained. Results: Participants were 7 school age children, 13 adolescents; 10 Hispanic; 13 males. Five overarching themes: Coping Strategies, Environmental Factors, Stressors, Procedures/Medications, and Information. Children emphasized the importance of peer support and visitation; adolescents relied strongly on social media and texting. Parent visits sometimes were more stressful than peer visits. Video games, TV, visitors, and eating were diversional activities. In the PICU, they wanted windows to see outside and interesting things to see on the ceiling above them. Children expressed anticipatory fear of shots and procedures, frustration with lab work, and overwhelming PICU equipment. Number of child responses was higher in PICU (927) than GCU (593); the largest difference was in Environmental Factors. Variations between school age children and adolescents were primarily in Coping Strategies, especially in social support. Number of GCU procedures were the same (8 children) or greater (2 children) than PICU procedures. Discussion: Admission to PICU is a very stressful event. Perceptions from children while still in PICU found information not previously found in the literature. Longitudinal studies to identify children’s perceptions regarding PICU hospitalization and post-discharge outcomes are needed.