Finding out about a topic online involves visiting multiple news sites, encyclopedia entries, video repositories and other resources while discarding irrelevant information. MakeMyPage aims to speed the search process by combining automatic aggregation of information with social media to build persistent web pages with images, videos and links to important information about popular topics. Auto...

In this talk I will present the University of Arizona Artificial Intelligence Lab’s recent research in Dark Web, Geopolitical Web, and Business Analytics. Based on funding from the NSF and several other US agencies, the AI Lab has developed techniques for collecting, managing and analyzing largescale multilingual and multimedia social media contents of relevance to social, geopolitical, and bus...

This paper provides a summary of the Social Media and Linked Data for Emergency Response (SMILE) workshop, co-located with the Extended Semantic Web Conference, at Montpellier, France, 2013. Following paper presentations and question answering sessions, an extensive discussion and roadmapping session was organised which involved the workshop chairs and attendees. Three main topics guided the di...

Social media in the last decade has become a popular communication mechanism on the web. Sites like Facebook, Twitter and YouTube are seeing enormous growth. It is important to understand the trends of this new type of media for many reasons including identity theft, social engineering, advertising and digital preservation. Some data sets have been made available to the public such as the tweet...

Firstly, this venture is a new attempt to use social networking Web sites as a new form of media in the field of organ transplantation. All other forms of media such as print, television, radio, etc. have been used and exhausted for making people aware of the importance of becoming organ donors. However, with the Internet becoming a significant extension of people’s lives today, it has still re...

Web 2.0 has changed the ways people communicate, collaborate, and express their opinions and sentiments. But despite social data on the Web being perfectly suitable for human consumption, they remain hardly accessible to machines. To bridge the cognitive and affective gap between word-level natural language data and the concept-level sentiments conveyed by them, we developed SenticNet 2, a publ...

Avatars are lifelike characters created by technology. Research suggests that avatars can increase the persuasiveness of online sales channels. The authors investigate how the social cues inherent in avatars influence consumers’ affect and shopping value. In Study 1, social cues induce perceptions of Web site socialness, leading to increased pleasure and arousal, both of which positively influe...

The increasing use of social media, applications or platforms that allow users to interact online, ensures that this environment will provide a useful source of evidence for the forensics examiner. Current tools for the examination of digital evidence find this data problematic as they are not designed for the collection and analysis of online data. Therefore, this paper presents a framework fo...

Anchor text has been widely used in web search as an effective complement to web page content. This motivates the investigation of similar sources of evidence about relevance. Social media postings often contain links to associated web pages, although typically not with anchor text. In this paper, we explore the use of these links and the text in the social postings as a form of anchor text (so...

Mining the Social Web by Matthew Russell is a delightful reading which covers a wide array of very pertinent social media technologies. When working in the field of social media and web mining, one comes across a plethora of buzz words, tools and techniques to do various web data analysis tasks. This book does a great job at demystifying these topics. What I liked most about Mining the Social W...