Showing papers on "Social media published in 2012"

Sentiment Analysis and Opinion Mining

Abstract: Sentiment analysis and opinion mining is the field of study that analyzes people's opinions, sentiments, evaluations, attitudes, and emotions from written language. It is one of the most active research areas in natural language processing and is also widely studied in data mining, Web mining, and text mining. In fact, this research has spread outside of computer science to the management sciences and social sciences due to its importance to business and society as a whole. The growing importance of sentiment analysis coincides with the growth of social media such as reviews, forum discussions, blogs, micro-blogs, Twitter, and social networks. For the first time in human history, we now have a huge volume of opinionated data recorded in digital form for analysis. Sentiment analysis systems are being applied in almost every business and social domain because opinions are central to almost all human activities and are key influencers of our behaviors. Our beliefs and perceptions of reality, and the choices we make, are largely conditioned on how others see and evaluate the world. For this reason, when we need to make a decision we often seek out the opinions of others. This is true not only for individuals but also for organizations. This book is a comprehensive introductory and survey text. It covers all important topics and the latest developments in the field with over 400 references. It is suitable for students, researchers and practitioners who are interested in social media analysis in general and sentiment analysis in particular. Lecturers can readily use it in class for courses on natural language processing, social media analysis, text mining, and data mining. Lecture slides are also available online.

Critical questions for big data

Abstract: The era of Big Data has begun. Computer scientists, physicists, economists, mathematicians, political scientists, bio-informaticists, sociologists, and other scholars are clamoring for access to the massive quantities of information produced by and about people, things, and their interactions. Diverse groups argue about the potential benefits and costs of analyzing genetic sequences, social media interactions, health records, phone logs, government records, and other digital traces left by people. Significant questions emerge. Will large-scale search data help us create better tools, services, and public goods? Or will it usher in a new wave of privacy incursions and invasive marketing? Will data analytics help us understand online communities and political movements? Or will it be used to track protesters and suppress speech? Will it transform how we study human communication and culture, or narrow the palette of research options and alter what ‘research’ means? Given the rise of Big Data as a socio-tech...

Social Media Use for News and Individuals' Social Capital, Civic Engagement and Political Participation

Abstract: Recently, scholars tested how digital media use for informational purposes similarly contributes to foster democratic processes and the creation of social capital. Nevertheless, in the context of today's socially-networked-society and the rise of social media applications (i.e., Facebook) new perspectives need to be considered. Based on U.S. national data, results show that after controlling for demographic variables, traditional media use offline and online, political constructs (knowledge and efficacy), and frequency and size of political discussion networks, seeking information via social network sites is a positive and significant predictor of people's social capital and civic and political participatory behaviors, online and offline. © 2012 Wiley Periodicals, Inc.

How Censorship in China Allows Government Criticism But Silences Collective Expression

Abstract: We offer the first large scale, multiple source analysis of the outcome of what may be the most extensive effort to selectively censor human expression ever implemented. To do this, we have devised a system to locate, download, and analyze the content of millions of social media posts originating from nearly 1,400 different social media services all over China before the Chinese government is able to find, evaluate, and censor (i.e., remove from the Internet) the large subset they deem objectionable. Using modern computer-assisted text analytic methods that we adapt and validate in the Chinese language, we compare the substantive content of posts censored to those not censored over time in each of 95 issue areas. Contrary to previous understandings, posts with negative, even vitriolic, criticism of the state, its leaders, and its policies are not more likely to be censored. Instead, we show that the censorship program is aimed at curtailing collection action by silencing comments that represent, reinforce, or spur social mobilization, regardless of content. Censorship is oriented toward attempting to forestall collective activities that are occurring now or may occur in the future --- and, as such, seem to clearly expose government intent, such as examples we offer where sharp increases in censorship presage government action outside the Internet.

Social Media and the Decision to Participate in Political Protest: Observations From Tahrir Square

Abstract: Based on a survey of participants in Egypt’s Tahrir Square protests, we demonstrate that social media in general, and Facebook in particular, provided new sources of information the regime could not easily control and were crucial in shaping how citizens made individual decisions about participating in protests, the logistics of protest, and the likelihood of success. We demonstrate that people learned about the protests primarily through interpersonal communication using Facebook, phone contact, or face-to-face conversation. Controlling for other factors, social media use greatly increased the odds that a respondent attended protests on the first day. Half of those surveyed produced and disseminated visuals from the demonstrations, mainly through Facebook.

A Review of Facebook Research in the Social Sciences

Abstract: With over 800 million active users, Facebook is changing the way hundreds of millions of people relate to one another and share information. A rapidly growing body of research has accompanied the meteoric rise of Facebook as social scientists assess the impact of Facebook on social life. In addition, researchers have recognized the utility of Facebook as a novel tool to observe behavior in a naturalistic setting, test hypotheses, and recruit participants. However, research on Facebook emanates from a wide variety of disciplines, with results being published in a broad range of journals and conference proceedings, making it difficult to keep track of various findings. And because Facebook is a relatively recent phenomenon, uncertainty still exists about the most effective ways to do Facebook research. To address these issues, the authors conducted a comprehensive literature search, identifying 412 relevant articles, which were sorted into 5 categories: descriptive analysis of users, motivations for using Facebook, identity presentation, the role of Facebook in social interactions, and privacy and information disclosure. The literature review serves as the foundation from which to assess current findings and offer recommendations to the field for future research on Facebook and online social networks more broadly.

The relationship between frequency of Facebook use, participation in Facebook activities, and student engagement

Abstract: Educators and others are interested in the effects of social media on college students, with a specific focus on the most popular social media website-Facebook. Two previous studies have examined the relationship between Facebook use and student engagement, a construct related to positive college outcomes. However, these studies were limited by their evaluation of Facebook usage and how they measured engagement. This paper fills a gap in the literature by using a large sample (N = 2368) of college students to examine the relationship between frequency of Facebook use, participation in Facebook activities, and student engagement. Student engagement was measured in three ways: a 19-item scale based on the National Survey of Student Engagement, time spent preparing for class, and time spent in co-curricular activities. Results indicate that Facebook use was significantly negatively predictive of engagement scale score and positively predictive of time spent in co-curricular activities. Additionally, some Facebook activities were positively predictive of the dependent variables, while others were negatively predictive.

Tweets and the Streets: Social Media and Contemporary Activism

Abstract: Tweets and the Streets analyses the culture of the new protest movements of the 21st century. From the Arab Spring to the "indignados" protests in Spain and the Occupy movement, Paolo Gerbaudo examines the relationship between the rise of social media and the emergence of new forms of protest. Gerbaudo argues that activists' use of Twitter and Facebook does not fit with the image of a "cyberspace" detached from physical reality. Instead, social media is used as part of a project of re-appropriation of public space, which involves the assembling of different groups around "occupied" places such as Cairo's Tahrir Square or New York's Zuccotti Park. An exciting and invigorating journey through the new politics of dissent, Tweets and the Streets points both to the creative possibilities and to the risks of political evanescence which new media brings to the contemporary protest experience.

The Personalization of Politics Political Identity, Social Media, and Changing Patterns of Participation

Abstract: This article proposes a framework for understanding large-scale individualized collective action that is often coordinated through digital media technologies. Social fragmentation and the decline of group loyalties have given rise to an era of personalized politics in which individually expressive personal action frames displace collective action frames in many protest causes. This trend can be spotted in the rise of large-scale, rapidly forming political participation aimed at a variety of targets, ranging from parties and candidates, to corporations, brands, and transnational organizations. The group-based “identity politics” of the “new social movements” that arose after the 1960s still exist, but the recent period has seen more diverse mobilizations in which individuals are mobilized around personal lifestyle values to engage with multiple causes such as economic justice (fair trade, inequality, and development policies), environmental protection, and worker and human rights.

Big Data analytics

Abstract: In this paper, we explain the concept, characteristics & need of Big Data & different offerings available in the market to explore unstructured large data. This paper covers Big Data adoption trends, entry & exit criteria for the vendor and product selection, best practices, customer success story, benefits of Big Data analytics, summary and conclusion. Our analysis illustrates that the Big Data analytics is a fast-growing, influential practice and a key enabler for the social business. The insights gained from the user generated online contents and collaboration with customers is critical for success in the age of social media.

Reflections on #Occupy Everywhere: Social media, public space, and emerging logics of aggregation

Abstract: This article explores the links between social media and public space within the #Occupy Everywhere movements. Whereas listservs and websites helped give rise to a widespread logic of networking within the movements for global justice of the 1990s–2000s, I argue that social media have contributed to an emerging logic of aggregation in the more recent #Occupy movements—one that involves the assembling of masses of individuals from diverse backgrounds within physical spaces. However, the recent shift toward more decentralized forms of organizing and networking may help to ensure the sustainability of the #Occupy movements in a posteviction phase. [social movements, globalization, political protest, public space, social media, new technologies, inequality]

Information, Community, and Action: How Nonprofit Organizations Use Social Media

Abstract: The rapid diffusion of "microblogging" services such as Twitter is ushering in a new era of possibilities for organizations to communicate with and engage their core stakeholders and the general public. To enhance understanding of the communicative functions microblogging serves for organizations, this study examines the Twitter utilization practices of the 100 largest nonprofit organizations in the United States. The analysis reveals there are three key functions of microblogging updates-"information," "community," and "action." Though the informational use of microblogging is extensive, nonprofit organizations are better at using Twitter to strategically engage their stakeholders via dialogic and community-building practices than they have been with traditional websites. The adoption of social media appears to have engendered new paradigms of public engagement. Keywords: microblogging; Twitter; social media; stakeholder relations; organizational communication; organization-public relations; nonprofit organizations

Using Social Media to Enhance Emergency Situation Awareness

Abstract: The described system uses natural language processing and data mining techniques to extract situation awareness information from Twitter messages generated during various disasters and crises.

NORMALIZING TWITTER Journalism practice in an emerging communication space

Abstract: This is a preprint of an article whose final and definitive form has been published in Journalism Studies © 2010 Taylor & Francis. The official version is available at: http://www.tandfonline.com/doi/abs/10.1080/1461670X.2011.571825

Are social media replacing traditional media in terms of brand equity creation

Abstract: Purpose – The purpose of this paper is to investigate the relative impact of brand communication on brand equity through social media as compared to traditional media. In a juxtaposition of different industries it aims at: investigating whether both communication instruments have an impact on consumer‐based brand equity; comparing the effect sizes of these two communication instruments; and separating the effects of firm‐created and user‐generated social media communication.Design/methodology/approach – A total of 393 data sets from three different industries, namely tourism, telecommunications, and pharmaceuticals, were generated using a standardized online‐survey. Structural equation modeling was used in the analysis of the data obtained to investigate the interplay of social media and traditional media in general, as well as in an examination of industry‐specific differences.Findings – The results of the empirical study show that both traditional communications and social media communications have a si...

Community detection in Social Media

Abstract: The proposed survey discusses the topic of community detection in the context of Social Media. Community detection constitutes a significant tool for the analysis of complex networks by enabling the study of mesoscopic structures that are often associated with organizational and functional characteristics of the underlying networks. Community detection has proven to be valuable in a series of domains, e.g. biology, social sciences, bibliometrics. However, despite the unprecedented scale, complexity and the dynamic nature of the networks derived from Social Media data, there has only been limited discussion of community detection in this context. More specifically, there is hardly any discussion on the performance characteristics of community detection methods as well as the exploitation of their results in the context of real-world web mining and information retrieval scenarios. To this end, this survey first frames the concept of community and the problem of community detection in the context of Social Media, and provides a compact classification of existing algorithms based on their methodological principles. The survey places special emphasis on the performance of existing methods in terms of computational complexity and memory requirements. It presents both a theoretical and an experimental comparative discussion of several popular methods. In addition, it discusses the possibility for incremental application of the methods and proposes five strategies for scaling community detection to real-world networks of huge scales. Finally, the survey deals with the interpretation and exploitation of community detection results in the context of intelligent web applications and services.

Competition among memes in a world with limited attention

Abstract: The wide adoption of social media has increased the competition among ideas for our finite attention. We employ a parsimonious agent-based model to study whether such a competition may affect the popularity of different memes, the diversity of information we are exposed to, and the fading of our collective interests for specific topics. Agents share messages on a social network but can only pay attention to a portion of the information they receive. In the emerging dynamics of information diffusion, a few memes go viral while most do not. The predictions of our model are consistent with empirical data from Twitter, a popular microblogging platform. Surprisingly, we can explain the massive heterogeneity in the popularity and persistence of memes as deriving from a combination of the competition for our limited attention and the structure of the social network, without the need to assume different intrinsic values among ideas.

Gamification: designing for motivation

Abstract: Social Mediator is a forum exploring the ways that HCI research and principles interact---or might interact---with practices in the social media world.Joe McCarthy, Editor

Information, Community, and Action: How Nonprofit Organizations Use Social Media

Abstract: The rapid diffusion of “microblogging” services such as Twitter is ushering in a new era of possibilities for organizations to communicate with and engage their core stakeholders and the general public. To enhance understanding of the communicative functions microblogging serves for organizations, this study examines the Twitter utilization practices of the 100 largest nonprofit organizations in the United States. The analysis reveals there are three key functions of microblogging updates—“information,”“community,” and “action.” Though the informational use of microblogging is extensive, nonprofit organizations are better at using Twitter to strategically engage their stakeholders via dialogic and community-building practices than they have been with traditional websites. The adoption of social media appears to have engendered new paradigms of public engagement. © 2012 Wiley Periodicals, Inc. (Authors are listed in alphabetical order. The authors would like to thank Tom Feeley, Richard Waters, Seungahn Nah, I-hsuan Chiu, Yuchao Huang, and Kenton Anderson for helpful comments and suggestions.)

The Livehoods Project: Utilizing Social Media to Understand the Dynamics of a City

Abstract: Studying the social dynamics of a city on a large scale has traditionally been a challenging endeavor, often requiring long hours of observation and interviews, usually resulting in only a partial depiction of reality. To address this difficulty, we introduce a clustering model and research methodology for studying the structure and composition of a city on a large scale based on the social media its residents generate. We apply this new methodology to data from approximately 18 million check-ins collected from users of a location-based online social network. Unlike the boundaries of traditional municipal organizational units such as neighborhoods, which do not always reflect the character of life in these areas, our clusters, which we call Livehoods, are representations of the dynamic areas that comprise the city. We take a qualitative approach to validating these clusters, interviewing 27 residents of Pittsburgh, PA, to see how their perceptions of the city project onto our findings there. Our results provide strong support for the discovered clusters, showing how Livehoods reveal the distinctly characterized areas of the city and the forces that shape them.