An integrated framework for analyzing multilingual content in Web 2.0 social media

Yan Dang, Yulei Zhang, Paul Jen Hwa Hu, Susan A. Brown, Yungchang Ku, Jau Hwang Wang, Hsinchun Chen

Research output: Contribution to journalArticlepeer-review

17 Scopus citations


The growth of Web 2.0 has produced enormous amounts of user-generated content that contains important information about individuals' attitudes, perceptions, and opinions toward products, social events, and political issues. The volume of such content is increasing exponentially, making its search, analysis, and use more difficult and thus favoring advanced tools that aid in information search and processing. We propose an integrated framework that offers an infrastructure necessary for accessing, integrating, and analyzing multilingual user-generated content from different social media sites. Building on this framework, we develop the Dark Web Forum Portal (DWFP) that supports the gathering and analyses of social media content concerning security. Our evaluation results show that users supported by DWFP complete tasks better and faster than those using the benchmark forum. Participants consider DWFP to be better in terms of system quality, usefulness, ease of use, satisfaction and intention to use.

Original languageEnglish (US)
Pages (from-to)126-135
Number of pages10
JournalDecision Support Systems
Issue number1
StatePublished - May 2014


  • Social media
  • User evaluation
  • Web portal

ASJC Scopus subject areas

  • Management Information Systems
  • Information Systems
  • Developmental and Educational Psychology
  • Arts and Humanities (miscellaneous)
  • Information Systems and Management


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