BlogForever: D2.5 Weblog Spam Filtering Report and Associated Methodology

This report is written as a first attempt to define the BlogForever spam detection strategy. It comprises a survey of weblog spam technology and approaches to their detection. While the report was written to help identify possible approaches to spam detection as a component within the BlogForver software, the discussion has been extended to include observations related to the historical, social and practical value of spam, and proposals of other ways of dealing with spam within the repository without necessarily removing them. It contains a general overview of spam types, ready-made anti-spam APIs available for weblogs, possible methods that have been suggested for preventing the introduction of spam into a blog, and research related to spam focusing on those that appear in the weblog context, concluding in a proposal for a spam detection workflow that might form the basis for the spam detection component of the BlogForever software

Blogs as a Means of Preservation Selection for the World Wide Web

Currently, there is not a strong system of selection in place when looking at preserving content on the Web. This study is an examination of the blogging community for the possibility of utilizing the decentralized and distributed nature of link selection that takes place within the community as a means of preservation selection. The purpose of this study is to compare the blog aggregators, Daypop, Blogdex, and BlogPulse, for their ability to collect content which is of archival quality. This study analyzes the content selected by these aggregators to determine if any content which is linked to most frequently for a given day is of archival quality. Archival quality is determined by comparing the content from the aggregator lists to criteria assembled for the study from a variety of archival policies and principles

Closing the loop: assisting archival appraisal and information retrieval in one sweep

In this article, we examine the similarities between the concept of appraisal, a process that takes place within the archives, and the concept of relevance judgement, a process fundamental to the evaluation of information retrieval systems. More specifically, we revisit selection criteria proposed as result of archival research, and work within the digital curation communities, and, compare them to relevance criteria as discussed within information retrieval's literature based discovery. We illustrate how closely these criteria relate to each other and discuss how understanding the relationships between the these disciplines could form a basis for proposing automated selection for archival processes and initiating multi-objective learning with respect to information retrieval