Types of Tags for Annotating Academic Blogs

Academic blog sites are popular academic information exchange platforms, and they have been widely used in recent years. Blogs in those sites are often annotated with tags, and the tags can help to describe, organize and retrieve these blogs. However, it is still unknown what types of tags are frequently adopted for annotating academic blogs. In this poster, we present survey results for detecting the usage of tag types, and its changes with the bloggers' demographic information. We believe that our study can benefit users in their access to academic blogs and help the academic blog websites improve their services

Characterizing and Evaluating Users' Information Seeking Behavior in Social Tagging Systems

Social tagging systems in the Web 2.0 era present an innovative information seeking environment succeeding the library and traditional Web. The primary goals of this study were to, in this particular context: (1) identify the general information seeking strategies adopted by users and determine their effectiveness; (2) reveals the characteristics of the users who prefer different strategies; and (3) identify the specific traits of users' information seeking paths and understand factors shaping them. A representative social tagging system, Douban (http://www.douban.com/) was chosen as the research setting in order to generate empirical findings.Based on the mixed methods research design, this study consists of a quantitative phase and a qualitative phase. The former firstly involved a clickstream data analysis of 20 million clickstream records requested from Douban at the footprint, movement, and track levels. Limited to studying physical behavior, it was complemented by an online survey which captured Douban users' background information from various aspects. In the subsequent qualitative phase, a focus group gathered a number of experienced Douban users to help interpret the quantitative results.Major findings of this study show that: (1) the general strategies include encountering, browsing by resource, browsing by tag, browsing by user/group, searching, and monitoring by user/group; (2) while browsing by resource is the most popular strategy, browsing by tag is the most effective one; (3) users preferring different strategies do not have significantly different characteristics; and (4) on users' information seeking paths these exist two resource viewing patterns - continuous and sporadic, and two resource collecting patterns - lagged and instant, and they can be attributed to user, task, and system factors.A model was developed to illustrate the strategic and tactic layers of users' information seeking behavior in social tagging systems. It offers a deep insight into the behavioral changes brought about by this new environment as compared to the Web in general. This model can serve as the theoretical base for designing user-oriented information seeking interfaces for social tagging systems so that the general strategies and specific tactics will be accommodated efficiently

Social Software, Groups, and Governance

Formal groups play an important role in the law. Informal groups largely lie outside it. Should the law be more attentive to informal groups? The paper argues that this and related questions are appearing more frequently as a number of computer technologies, which I collect under the heading social software, increase the salience of groups. In turn, that salience raises important questions about both the significance and the benefits of informal groups. The paper suggests that there may be important social benefits associated with informal groups, and that the law should move towards a framework for encouraging and recognizing them. Such a framework may be organized along three dimensions by which groups arise and sustain themselves: regulating places, things, and stories

Business Ontology for Evaluating Corporate Social Responsibility

This paper presents a software solution that is developed to automatically classify companies by taking into account their level of social responsibility. The application is based on ontologies and on intelligent agents. In order to obtain the data needed to evaluate companies, we developed a web crawling module that analyzes the company’s website and the documents that are available online such as social responsibility report, mission statement, employment structure, etc. Based on a predefined CSR ontology, the web crawling module extracts the terms that are linked to corporate social responsibility. By taking into account the extracted qualitative data, an intelligent agent, previously trained on a set of companies, computes the qualitative values, which are then included in the classification model based on neural networks. The proposed ontology takes into consideration the guidelines proposed by the “ISO 26000 Standard for Social Responsibility”. Having this model, and being aware of the positive relationship between Corporate Social Responsibility and financial performance, an overall perspective on each company’s activity can be configured, this being useful not only to the company’s creditors, auditors, stockholders, but also to its consumers.corporate social responsibility, ISO 26000 Standard for Social Responsibility, ontology, web crawling, intelligent agent, corporate performance, POS tagging, opinion mining, sentiment analysis

Online consumer’s acceptance of social networking sites as potential shopping’s guide

The emergence of social media has significantly altered the strategies that companies use to communicate with customers ( Lee, Xiong, & Hu, 2011). As social media moves from “buzz word” status to strategic tool, more practitioners are developing skills related to this online communication technology (Eyrich, Padman, & Sweetser, 2008). With the development of networks, especially electronic commerce’s appearance, consumers enter a new environment of trade, therefore, with the high degree of price dispersion in the online market, for example, customer information, search behaviour also changes (Guan & Cheng, 2009). In fact, with the rapid development of Web 2.0 technologies, such as Ajax and XML, a great number of social networking sites (e.g., Facebook, Renren, MySpace, Kaixin, and LinkedIn) are emerging, which makes mass users interactions easier and more convenient (Yanli, Yi, & Yuli, 2010). These social media tools allow users to search, organize, share, annotate and contribute to contents in a collaborative way. For example, Curtis et al. (2010) found that social media techniques are becoming more abundant as public relations practitioners become mindful of their effectiveness in respect of reaching target audiences, promoting a specific cause, and further developing communication strategies. More than half of America’s teens and young adults send instant messages and use social networking sites, and more than one-third of all Internet users engage in these activities (Correa, Hinsley, & de Zúñiga, 2010)

Graphicons and Tactics in Satirical Trolling on Tumblr.com

Internet trolling is inherently multimodal, relying on both textual and graphical means of communication (or “graphicons”). We examined how satire and ideological trolls who use graphicons on the microblogging site Tumblr.com, use knowledge of local culture as part of their trolling tactics. Based on a qualitative thematic analysis of 172 trolling posts (that include 284 graphicons), we identified 7 Tumblr satire troll tactics: the lying tactic, the derailment tactic, the parodic exaggeration tactic, the misappropriation of jargon tactic, the straight man (or “comical seriousness”) tactic, the troll reveal tactic, and the politeness tactic. We also found that ideologically extremizing language was the most commonly used outrage tactic and that trolls used graphicons frequently as flame baiting prompts and for tone modification