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The International AAAI Conference on Web and Social Media provides an intellectual hub and a stimulating and inspiring environment for researchers in the computational social sciences who are interested in exploring social phenomena with algorithmic methods and new kinds of data.
In service to their unique demographic of learners, developmental reading and writing instructors must steadfastly teach basic literacy skills to a diverse student population with varying degrees of literacy proficiency. Even more dauntingly, educators are tasked with procuring andragogically-and-pedagogically appropriate teaching tools – those that meet the needs of the individual student while being accessible and relatable to this adult learner demographic. Of Emoji and Semioliteracy: Reading, Writing, and Texting in the Literacy Instruction Classroom proposes emoji as one such viable literacy and postsecondary writing teaching tool. Drawing from a mixed-methods study, this work chronicles a Texas community college integrated reading and writing project in which students attempt to demonstrate mastery of State-mandated literacy content areas using both traditional writing and emoji. By postulating emoji as a semioliteracy-based instructional tool, this work also explores emoji’s wider implications on teaching reading and writing within the developmental, First-Year Writing, postsecondary, and literacy instruction classes across all levels and disciplines. Foreword by Marcel Danesi
In recent years, online social networking has revolutionized interpersonal communication. The newer research on language analysis in social media has been increasingly focusing on the latter's impact on our daily lives, both on a personal and a professional level. Natural language processing (NLP) is one of the most promising avenues for social media data processing. It is a scientific challenge to develop powerful methods and algorithms that extract relevant information from a large volume of data coming from multiple sources and languages in various formats or in free form. This book will discuss the challenges in analyzing social media texts in contrast with traditional documents. Research methods in information extraction, automatic categorization and clustering, automatic summarization and indexing, and statistical machine translation need to be adapted to a new kind of data. This book reviews the current research on NLP tools and methods for processing the non-traditional information from social media data that is available in large amounts, and it shows how innovative NLP approaches can integrate appropriate linguistic information in various fields such as social media monitoring, health care, and business intelligence. The book further covers the existing evaluation metrics for NLP and social media applications and the new efforts in evaluation campaigns or shared tasks on new datasets collected from social media. Such tasks are organized by the Association for Computational Linguistics (such as SemEval tasks), the National Institute of Standards and Technology via the Text REtrieval Conference (TREC) and the Text Analysis Conference (TAC), or the Conference and Labs of the Evaluation Forum (CLEF). In this third edition of the book, the authors added information about recent progress in NLP for social media applications, including more about the modern techniques provided by deep neural networks (DNNs) for modeling language and analyzing social media data.
In recent years, online social networking has revolutionized interpersonal communication. The newer research on language analysis in social media has been increasingly focusing on the latter's impact on our daily lives, both on a personal and a professional level. Natural language processing (NLP) is one of the most promising avenues for social media data processing. It is a scientific challenge to develop powerful methods and algorithms that extract relevant information from a large volume of data coming from multiple sources and languages in various formats or in free form. This book will discuss the challenges in analyzing social media texts in contrast with traditional documents. Research methods in information extraction, automatic categorization and clustering, automatic summarization and indexing, and statistical machine translation need to be adapted to a new kind of data. This book reviews the current research on NLP tools and methods for processing the non-traditional information from social media data that is available in large amounts, and it shows how innovative NLP approaches can integrate appropriate linguistic information in various fields such as social media monitoring, health care, and business intelligence. The book further covers the existing evaluation metrics for NLP and social media applications and the new efforts in evaluation campaigns or shared tasks on new datasets collected from social media. Such tasks are organized by the Association for Computational Linguistics (such as SemEval tasks), the National Institute of Standards and Technology via the Text REtrieval Conference (TREC) and the Text Analysis Conference (TAC), or the Conference and Labs of the Evaluation Forum (CLEF). In this third edition of the book, the authors added information about recent progress in NLP for social media applications, including more about the modern techniques provided by deep neural networks (DNNs) for modeling language and analyzing social media data.
As a part of an extensive exploration, Reimagining Communication: Action investigates the practical implications of communication as a cultural industry, media ecology, and a complex social activity integral to all domains of life. The Reimagining Communication series develops a new information architecture for the field of communications studies, grounded in its interdisciplinary origins and looking ahead to emerging trends as researchers take into account new media technologies and their impacts on society and culture. The diverse and comprehensive body of contributions in this unique interdisciplinary resource explore communication as a form of action within a mix of social, cultural, political, and economic contexts. They emphasize the continuously expanding horizons of the field by engaging with the latest trends in practical inquiry within communication studies. Reflecting on the truly diverse implications of communicative processes and representations, Reimagining Communication: Action covers key practical developments of concern to the field. It integrates diverse theoretical and practice-based perspectives to emphasize the purpose and significance of communication to human experience at individual and social levels in a uniquely accessible and engaging way. This is an essential introductory text for advanced undergraduate and graduate students, along with scholars of communication, broadcast media, and interactive technologies, with an interdisciplinary focus and an emphasis on the integration of new technologies.
This book bridges the gap between advances in the communities of computer science and physics--namely machine learning and statistical physics. It contains diverse but relevant topics in statistical physics, complex systems, network theory, and machine learning. Examples of such topics are: predicting missing links, higher-order generative modeling of networks, inferring network structure by tracking the evolution and dynamics of digital traces, recommender systems, and diffusion processes. The book contains extended versions of high-quality submissions received at the workshop, Dynamics On and Of Complex Networks (doocn.org), together with new invited contributions. The chapters will benefit a diverse community of researchers. The book is suitable for graduate students, postdoctoral researchers and professors of various disciplines including sociology, physics, mathematics, and computer science.
Social media has become an integral part of society as social networking has become a main form of communication and human interaction. To stay relevant, businesses have adopted social media tactics to interact with consumers, conduct business, and remain competitive. Social technologies have reached a vital point in the business world, being essential in strategic decision-making processes, building relationships with consumers, marketing and branding efforts, and other important areas. While social media continues to gain importance in modern society, it is essential to determine how it functions in contemporary business. The Research Anthology on Strategies for Using Social Media as a Service and Tool in Business provides updated information on how businesses are strategically using social media and explores the role of social media in keeping businesses competitive in the global economy. The chapters will discuss how social tools work, what services businesses are utilizing, both the benefits and challenges to how social media is changing the modern business atmosphere, and more. This book is essential for researchers, instructors, social media managers, business managers, students, executives, practitioners, industry professionals, social media analysts, and all audiences interested in how social media is being used in modern businesses as both a service and integral tool.
A dictator's power is secure, the authors begin in this muscular, impressive study, only as long as citizens believe in it. When citizens suddenly believe otherwise, a dictator's power is anything but, as the Soviet Union's collapse revealed. This conviction – that power rests ultimately on citizens' beliefs – compels the world's autocrats to invest in sophisticated propaganda. This study draws on the first global data set of autocratic propaganda, encompassing nearly eight million newspaper articles from fifty-nine countries in six languages. The authors document dramatic variation in propaganda across autocracies: in coverage of the regime and its opponents, in narratives about domestic and international life, in the threats of violence issued to citizens, and in the domestic events that shape it. The book explains why Russian President Vladimir uses Donald Trump as a propaganda tool and why Chinese state propaganda is more effusive than any point since the Cultural Revolution.
This book explores the reflexivity of language both from the perspective of the lay speaker and the linguistic analyst. Linguistic inquiry is conditional upon linguistic reflexivity, but so is language. Without linguistic reflexivity, we would not be able to make sense of everyday linguistic communication, and the idea of a language would not be conceivable. Not even fundamental notions such as words or meaning would exist. Linguistic reflexivity is a feature of the communication process, and it essentially depends on situated participants and time. It is a defining characteristic of the human language but despite its obvious importance, it is not very well understood theoretically, and it is strangely under-researched empirically. Throughout history and in modern linguistics, it has mostly either been taken for granted, misconstrued, or ignored. Only integrational linguistics fully recognizes its specifically linguistic implications. However, integrational linguistics does not provide the necessary methodological basis for investigating linguistic phenomena empirically. This catch-22 situation means that the goal of the book is twofold: one part is to explore the reflexivity of language theoretically, and the other part is to propose an applied integrational linguistics and to implement this proposal in practice.