New Issue: Webology on the Sociology of the Web; Geographical Distribution of Blogs in the United States; More Effective Web Search Using Bigrams and Trigrams
Articles:
+ Mystery Meat revisited: Spam, Anti-Spam Measures and Digital Redlining
In order to protect email users from receiving unsolicited commercial email or spam, anti-spam measures building on technologies, such as filters and block lists, have been deployed widely. However, there is some evidence that certain anti-spam measures based on the purported origin of the spam cause unintended consequences related to issues of equity of access, which we term digital redlining. In this article, we revise and expand earlier work looking at secondary effects of anti-spam measures.
+ A Study of Email Spam and How to Effectively Combat It
+ Bridging the Mire between E-Research and E-Publishing for Multimedia Digital Scholarship in the Humanities and Social Sciences: An Australian Case Study
+ Islamic Book and Information Culture: An Overview
+ Geographical Distribution of Blogs in the United States
Blogging has diffused rapidly over the last several years in the United States, but that diffusion has not occurred evenly. In examining the distribution of 191,294 weblogs sampled in November 2003, we find that while blogging enjoys popularity throughout the U.S., bloggers appear more frequently within particular cities. This project indexes American bloggers by three-digit zip codes corresponding to their location, and identifies the demographic factors that appear to encourage blogging. We find that cities with populations that are young, urban, and more tolerant of difference are likely to host more bloggers.
+ Egyptian and American Internet-Based Cross-Cultural Information Seeking Behavior. Part I: Research Instrument
+ Reshaping Digital Inequality in the European Union: How Psychological Barriers Affect Internet Adoption Rates
+ Getting Connected: Can Social Capital be Virtual?
+ More Effective Web Search Using Bigrams and Trigrams
This paper investigates the effectiveness of quoted bigrams and trigrams as query terms to target web search. Prior research in this area has largely focused on static corpora each containing only a few million documents, and has reported mixed (usually negative) results. We investigate the bigram/trigram extraction problem and present an extraction algorithm that shows promising results when applied to real-time web search. We also present a prototype augmented search software package that can leverage the results provided by a web search engine to assist the web searcher identify important phrases and related documents quickly. This software has received favourable feedback in a recent user survey.
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