From the Publisher: 
A Question of Identity 
Life on the Screen is a fascinating and wide-ranging investigation of the impact of computers and networking on society, peoples' perceptions of themselves, and the individual's relationship to machines. Sherry Turkle, a Professor of the Sociology of Science at MIT and a licensed psychologist, uses Internet MUDs (multi-user domains, or in older gaming parlance multi-user dungeons) as a launching pad for explorations of software design, user interfaces, simulation, artificial intelligence, artificial life, agents, "bots," virtual reality, and "the on-line way of life." 
Turkle's discussion of postmodernism is particularly enlightening. She shows how postmodern concepts in art, architecture, and ethics are related to concrete topics much closer to home, for example AI research (Minsky's "Society of Mind") and even MUDs (exemplified by students with X-window terminals who are doing homework in one window and simultaneously playing out several different roles in the same MUD in other windows). Those of you who have (like me) been turned off by the shallow, pretentious, meaningless paintings and sculptures that litter our museums of modern art may have a different perspective after hearing what Turkle has to say. 
This is a psychoanalytical book, not a technical one. However, software developers and engineers will find it highly accessible because of the depth of the author's technical understanding and credibility. Unlike most other authors in this genre, Turkle does not constantly jar the technically-literate reader with blatant errors or bogus assertions about how things work. Although I personally don't have time or patience for MUDs,view most of AI as snake-oil, and abhor postmodern architecture, I thought the time spent reading this book was an extremely good investment.

스크린 위의 삶 = Life on the screen : identity in the age of the internet

Word sense disambiguation (WSD) is the ability to identify the meaning of words in context in a computational manner. WSD is considered an AI-complete problem, that is, a task whose solution is at least as hard as the most difficult problems in artificial intelligence. We introduce the reader to the motivations for solving the ambiguity of words and provide a description of the task. We overview supervised, unsupervised, and knowledge-based approaches. The assessment of WSD systems is discussed in the context of the Senseval/Semeval campaigns, aiming at the objective evaluation of systems participating in several different disambiguation tasks. Finally, applications, open problems, and future directions are discussed.

/pdf/word-sense-disambiguation-a-survey-20csyn4stq.pdf

Word sense disambiguation: A survey

We analyze the information credibility of news propagated through Twitter, a popular microblogging service. Previous research has shown that most of the messages posted on Twitter are truthful, but the service is also used to spread misinformation and false rumors, often unintentionally.On this paper we focus on automatic methods for assessing the credibility of a given set of tweets. Specifically, we analyze microblog postings related to "trending" topics, and classify them as credible or not credible, based on features extracted from them. We use features from users' posting and re-posting ("re-tweeting") behavior, from the text of the posts, and from citations to external sources.We evaluate our methods using a significant number of human assessments about the credibility of items on a recent sample of Twitter postings. Our results shows that there are measurable differences in the way messages propagate, that can be used to classify them automatically as credible or not credible, with precision and recall in the range of 70% to 80%.

/pdf/information-credibility-on-twitter-2d1l7ckae1.pdf

Information credibility on twitter

List of Figures List of Tables Foreword Introduction Robin P. Fawcett, M.A.K. Halliday, Sydney M. Lamb and Adam Makkai 1 Language as Code and Language as Behaviour: A Systemic-Functional Interpretation of the Nature and Ontogenesis of Dialogue M.A.K. Halliday 2 Metaphors of Information John Regan 3 How Universal is a Localist Hypothesis? A Linguistic Contribution to the Study of 'Semantic Styles' of Language Yoshihiko Ikegami 4 Some Speculations on Language Contact in a Wider Setting Jeffrey Ellis 5 Ways of Saying: Ways of Meaning Ruqaiya Hasan Index

Language as social semiotic

We analyze microblog posts generated during two recent, concurrent emergency events in North America via Twitter, a popular microblogging service. We focus on communications broadcast by people who were "on the ground" during the Oklahoma Grassfires of April 2009 and the Red River Floods that occurred in March and April 2009, and identify information that may contribute to enhancing situational awareness (SA). This work aims to inform next steps for extracting useful, relevant information during emergencies using information extraction (IE) techniques.

/pdf/microblogging-during-two-natural-hazards-events-what-twitter-9brw09o2kj.pdf

Microblogging during two natural hazards events: what twitter may contribute to situational awareness

We conduct a mixed-method study to better understand the content consumption patterns of Middle Eastern social media users and to explore new ways to present online data by using automatic persona generation. First, we analyze millions of content interactions on YouTube to dynamically generate personas describing behavioral patterns of different demographic groups. Second, we analyze interview data on social media users in the Middle Eastern region to generate additional insights into the dynamically generated personas. Our findings provide insights into social media users in the Middle East, as well as present a novel methodology of using computational analysis and qualitative data enrichment to generate descriptive and culturally receptive personas from social media audiences.

Generating Cultural Personas from Social Data: A Perspective of Middle Eastern Users

In times of mass emergency, vast amounts of data are generated via computer-mediated communication (CMC) that are difficult to manually collect and organize into a coherent picture. Yet valuable information is broadcast, and can provide useful insight into time- and safety-critical situations if captured and analyzed efficiently and effectively. We describe a natural language processing component of the EPIC (Empowering the Public with Information in Crisis) Project infrastructure, designed to extract linguistic and behavioral information from tweet text to aid in the task of information integration. The system incorporates linguistic annotation, in the form of Named Entity Tagging, as well as behavioral annotations to capture tweets contributing to situational awareness and analyze the information type of the tweet content. We show classification results and describe future integration of these classifiers in the larger EPIC infrastructure.

/pdf/foundations-of-a-multilayer-annotation-framework-for-twitter-4pj29qwst1.pdf

Foundations of a Multilayer Annotation Framework for Twitter Communications During Crisis Events

Citizen Photojournalism During Crisis Events

‘Tweak the Tweet’ is an idea for enabling citizen reporting via microblogs during crisis events. It instructs users of Twitter to tag and structure their messages to make them machine-readable using what is known as a microsyntax. This chapter describes efforts to deploy the Tweak the Tweet syntax during several crisis events in 2010. We describe how syntax, instructions, and the nature of such a campaign evolved within and across events, and share the insights gained about the use of structured data reporting during mass emergencies and disasters.

Promoting structured data in citizen communications during disaster response: an account of strategies for diffusion of the 'Tweak the Tweet' syntax

We explore the meaning of privacy from the perspective of Qatari nationals as it manifests in digital environments. Although privacy is an essential and widely respected value in many cultures, the way in which it is understood and enacted depends on context. It is especially vital to understand user behaviors regarding privacy in the digital sphere, where individuals increasingly publish personal information. Our mixed-methods analysis of 18K Twitter posts that mention privacy focuses on the face to face and digital contexts in which privacy is mentioned, and how those contexts lead to varied ideologies regarding privacy. We find that in the Arab Gulf, the need for privacy is often supported by Quranic text, advice on how to protect privacy is frequently discussed, and the use of paternalistic language by men when discussing women related privacy is common. Above all, privacy is framed as a communal attribute, including not only the individual, but the behavior of those around them; it even extends beyond the individual lifespan. We contribute an analysis and description of these previously unexplored interpretations of privacy, which play a role in how users navigate social media.

Sarah Vieweg

Papers

Generating Cultural Personas from Social Data: A Perspective of Middle Eastern Users

Foundations of a Multilayer Annotation Framework for Twitter Communications During Crisis Events

Citizen Photojournalism During Crisis Events

Promoting structured data in citizen communications during disaster response: an account of strategies for diffusion of the 'Tweak the Tweet' syntax

Privacy and Twitter in Qatar: Traditional Values in the Digital World