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	This ontology document is licensed under the Creative Commons
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 <channel rdf:about="http://ebiquity.umbc.edu//tags/html/?t=splog">
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  <link><![CDATA[http://ebiquity.umbc.edu//tags/html/?t=splog]]></link>
  <description><![CDATA[UMBC ebiquity RSS Tag Search for splog]]></description>
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    <rdf:Seq>
      <rdf:li resource="http://ebiquity.umbc.edu/event/html/id/296/Adversarial-Classification-An-Ensemble-based-approach"/>
      <rdf:li resource="http://ebiquity.umbc.edu/event/html/id/212/Detecting-Spam-Blogs-An-Adaptive-Online-Approach-"/>
      <rdf:li resource="http://ebiquity.umbc.edu/event/html/id/213/Detecting-spam-blogs-beta-"/>
      <rdf:li resource="http://ebiquity.umbc.edu/event/html/id/174/Monitoring-the-Corporate-Blogosphere"/>
      <rdf:li resource="http://ebiquity.umbc.edu/event/html/id/158/The-Multi-Relational-Blogosphere-Empirical-Characterization-and-Spam-Protection"/>
      <rdf:li resource="http://ebiquity.umbc.edu/event/html/id/144/Modeling-the-Spread-of-Influence-on-the-Blogosphere"/>
      <rdf:li resource="http://ebiquity.umbc.edu/getnews/html/id/37/UMBC-researchers-investigate-the-Blogosphere"/>
      <rdf:li resource="http://ebiquity.umbc.edu/getnews/html/id/31/Welcome-to-the-Splogosphere"/>
      <rdf:li resource="http://ebiquity.umbc.edu/project/html/id/68/memeta"/>
      <rdf:li resource="http://ebiquity.umbc.edu/project/html/id/56/Semantic-Discovery-Discovering-Complex-Relationships-in-Semantic-Web"/>
      <rdf:li resource="http://ebiquity.umbc.edu/project/html/id/76/Vox-Blogguli"/>
      <rdf:li resource="http://ebiquity.umbc.edu/paper/html/id/371/The-Information-ecology-of-social-media-and-online-communities"/>
      <rdf:li resource="http://ebiquity.umbc.edu/paper/html/id/408/Spings-und-Splog"/>
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      <rdf:li resource="http://ebiquity.umbc.edu/paper/html/id/342/Towards-Spam-Detection-at-Ping-Servers"/>
      <rdf:li resource="http://ebiquity.umbc.edu/paper/html/id/362/Spam-in-Blogs-and-Social-Media-Tutorial"/>
      <rdf:li resource="http://ebiquity.umbc.edu/paper/html/id/352/The-BlogVox-Opinion-Retrieval-System"/>
      <rdf:li resource="http://ebiquity.umbc.edu/paper/html/id/318/Blog-Track-Open-Task-Spam-Blog-Classification"/>
      <rdf:li resource="http://ebiquity.umbc.edu/paper/html/id/296/Detecting-Spam-Blogs-A-Machine-Learning-Approach"/>
      <rdf:li resource="http://ebiquity.umbc.edu/paper/html/id/299/Characterizing-the-Splogosphere"/>
      <rdf:li resource="http://ebiquity.umbc.edu/paper/html/id/269/SVMs-for-the-Blogosphere-Blog-Identification-and-Splog-Detection"/>
      <rdf:li resource="http://ebiquity.umbc.edu/resource/html/id/190/Detecting-Spam-Blogs-A-Machine-Learning-Approach"/>
      <rdf:li resource="http://ebiquity.umbc.edu/resource/html/id/204/Information-extraction-from-social-media"/>
      <rdf:li resource="http://ebiquity.umbc.edu/resource/html/id/227/On-Leveraging-Social-Media"/>
      <rdf:li resource="http://ebiquity.umbc.edu/resource/html/id/216/Spam-in-Blogs-and-Social-Media"/>
      <rdf:li resource="http://ebiquity.umbc.edu/resource/html/id/212/Splog-Blog-Dataset"/>
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 <item rdf:about="http://ebiquity.umbc.edu/event/html/id/296/Adversarial-Classification-An-Ensemble-based-approach">
  <title><![CDATA[Adversarial Classification: An Ensemble-based approach]]></title>
  <link>http://ebiquity.umbc.edu/event/html/id/296/Adversarial-Classification-An-Ensemble-based-approach</link>
  <description><![CDATA[Master's Thesis Defense Announcement

Spam has been studied and dealt with extensively in the email, web, and, recently, blog domains. Recent work has addressed the problem of non-stationarity of the data using ensemble-based approaches. Adversarial classification has been handled by retraining base classifiers using labeled samples obtained from the ensemble. However, frequent retraining is expensive. There is a need is to dynamically determine when the classifiers should be retrained and ...]]></description>
  <dc:date>2009-04-27</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/event/html/id/212/Detecting-Spam-Blogs-An-Adaptive-Online-Approach-">
  <title><![CDATA[Detecting Spam Blogs: An Adaptive Online Approach]]></title>
  <link>http://ebiquity.umbc.edu/event/html/id/212/Detecting-Spam-Blogs-An-Adaptive-Online-Approach-</link>
  <description><![CDATA[Weblogs, or blogs, are an important new way to publish information, engage
in discussions, and form communities on the Internet. Blogs are a global
phenomenon, and with numbers well over 100 million they form the core of
the emerging paradigm of Social Media. While the utility of blogs is
unquestionable, a serious problem now afflicts them, that of spam. Spam
blogs, or splogs are blogs with auto-generated or plagiarized content
with the sole purpose of hosting profitable contextual ads ...]]></description>
  <dc:date>2007-09-25</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/event/html/id/213/Detecting-spam-blogs-beta-">
  <title><![CDATA[Detecting spam blogs (beta)]]></title>
  <link>http://ebiquity.umbc.edu/event/html/id/213/Detecting-spam-blogs-beta-</link>
  <description><![CDATA[In our regular weekly Ebiquity meeting, Pranam Kolari will give us a preview of his dissertation defense presentation.  He will greatly appreciate feedback on this pre-release beta version, as long as it doesn't involve suggestions that he do an additional six months of research to confirm and strengthen his experimental results.

See  his defense announcement for the abstract.]]></description>
  <dc:date>2007-09-24</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/event/html/id/174/Monitoring-the-Corporate-Blogosphere">
  <title><![CDATA[Monitoring the Corporate Blogosphere]]></title>
  <link>http://ebiquity.umbc.edu/event/html/id/174/Monitoring-the-Corporate-Blogosphere</link>
  <description><![CDATA[Blogs are radically changing the face of communications on the Internet.
Beyond publishing content, blogs enable users to engage in conversation and
form tight knit communities, constituting a highly influential subset on
the Web. While the benefit of blogs to individuals is well studied, their
utility for an enterprise is less well understood.

This talk details how enterprises can benefit from adopting blogs,
internally, and externally. We show how internal
employee blogs enable exp...]]></description>
  <dc:date>2006-09-19</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/event/html/id/158/The-Multi-Relational-Blogosphere-Empirical-Characterization-and-Spam-Protection">
  <title><![CDATA[The Multi-Relational Blogosphere: Empirical Characterization and Spam Protection]]></title>
  <link>http://ebiquity.umbc.edu/event/html/id/158/The-Multi-Relational-Blogosphere-Empirical-Characterization-and-Spam-Protection</link>
  <description><![CDATA[Weblogs, or blogs, have become an important new way to publish information,
engage in discussions and form communities. Blogs collectively constitute 
the blogosphere, a highly influential and dynamic subset on the Web. The 
nature of their content and publishing infrastructure requires that they be
modeled, harvested and analyzed differently from the rest of the web.


We first propose a model for the blog graph that extends the more general 
web graph. The web is viewed as a graph G...]]></description>
  <dc:date>2006-05-10</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/event/html/id/144/Modeling-the-Spread-of-Influence-on-the-Blogosphere">
  <title><![CDATA[Modeling the Spread of Influence on the Blogosphere]]></title>
  <link>http://ebiquity.umbc.edu/event/html/id/144/Modeling-the-Spread-of-Influence-on-the-Blogosphere</link>
  <description><![CDATA[Blogs have become a means by which new ideas and information
spreads rapidly on the web.  They often discuss the latest trends and
echo with reactions on different events in the world.  The collective
wisdom present on the blogosphere is invaluable for market researchers
 and companies launching new products. In this paper, we validate the
effectiveness of some of the influence models on the blogosphere. We
validate the robustness of different heuristics in  presence of splogs
or spam ...]]></description>
  <dc:date>2006-04-12</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/getnews/html/id/37/UMBC-researchers-investigate-the-Blogosphere">
  <title><![CDATA[UMBC researchers investigate the Blogosphere]]></title>
  <link>http://ebiquity.umbc.edu/getnews/html/id/37/UMBC-researchers-investigate-the-Blogosphere</link>
  <description><![CDATA[Research on detecting "splogs" by Professors Tim Finin, Anupam Joshi and Tim Oates and PhD students Pranam Kolari and Akshay Java of the Computer Science and Electrical Engineering Department was mentioned in an article in the September issue of Wired Magazine.  Splogs are spam weblogs that are automatically generated to host advertisements or to raise the rank or affiliated web sites.  The UMBC group recently published a study showing that more than half of the active English language blogs ...]]></description>
  <dc:date>2006-09-05</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/getnews/html/id/31/Welcome-to-the-Splogosphere">
  <title><![CDATA[Welcome to the Splogosphere]]></title>
  <link>http://ebiquity.umbc.edu/getnews/html/id/31/Welcome-to-the-Splogosphere</link>
  <description><![CDATA[Welcome to the Splogosphere!

UMBC study estimates that 75% of posts to English language weblogs are spam


Baltimore, December 16, 2005

 A weblog monitoring system developed by UMBC Ph.D. student Pranam
Kolari shows that a new form of spam -- spam blogs or splogs --
has quickly become a serious problem. 

 Splogs are "fake"
weblog sites that have been set up to carry paid advertisements,
promote affiliated web sites by increasing their PageRank, and to get
new sites noti...]]></description>
  <dc:date>2005-12-16</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/project/html/id/68/memeta">
  <title><![CDATA[memeta]]></title>
  <link>http://ebiquity.umbc.edu/project/html/id/68/memeta</link>
  <description><![CDATA[Weblogs, or blogs, have become an important new way to publish information, engage in discussions and form communities. The memeta project is developing a framework for representing and studying the structure and content of communities of blogs. We are particularly interested in how metadata about blogs can be extracted, discovered and computed and how that metadata can be used in the analysis of blogs and to provide new blog related services.  Examples of concrete problems we hope to be able...]]></description>
  <dc:date>2005-03-01</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/project/html/id/56/Semantic-Discovery-Discovering-Complex-Relationships-in-Semantic-Web">
  <title><![CDATA[Semantic Discovery: Discovering Complex Relationships in Semantic Web]]></title>
  <link>http://ebiquity.umbc.edu/project/html/id/56/Semantic-Discovery-Discovering-Complex-Relationships-in-Semantic-Web</link>
  <description><![CDATA[Research in search techniques was a critical component of the first generation of the Web, and has gone from academe to mainstream. A second generation Semantic Web will be built by adding semantic annotations that software can understand and from which humans can benefit. Modeling, discovering and reasoning about complex relationships on the Semantic Web will enable this vision and transform the hunt for documents into a more automated analysis enabled by semantic technology. The beginnings ...]]></description>
  <dc:date>2003-10-01</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/project/html/id/76/Vox-Blogguli">
  <title><![CDATA[Vox Blogguli]]></title>
  <link>http://ebiquity.umbc.edu/project/html/id/76/Vox-Blogguli</link>
  <description><![CDATA[Blogvox is an experimental system initially built for the 2006 TREC blog track.  The goal was to do opinion retrieval from blog posts.  GIven a query string describing a topic, e.g., "March of the Penguins", the system retieves blog posts that express an opinion, positive or negative, about the topic.]]></description>
  <dc:date>2006-06-01</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/paper/html/id/371/The-Information-ecology-of-social-media-and-online-communities">
  <title><![CDATA[The Information ecology of social media and online communities]]></title>
  <link>http://ebiquity.umbc.edu/paper/html/id/371/The-Information-ecology-of-social-media-and-online-communities</link>
  <description><![CDATA[Social media systems such as weblogs, photo- and link-sharing sites, wikis, and online forums are currently thought to produce up to one-third of new Web content. One thing that sets these ``Web 2.0'' sites apart from traditional Web pages and resources is that they are intertwined with other forms of networked data. Their standard hyperlinks are enriched by social networks, comments, trackbacks, advertisements, tags, RDF data, and metadata.  We describe recent work on building systems that u...]]></description>
  <dc:date>2008-09-01</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/paper/html/id/408/Spings-und-Splog">
  <title><![CDATA[Spings und Splog]]></title>
  <link>http://ebiquity.umbc.edu/paper/html/id/408/Spings-und-Splog</link>
  <dc:date>2008-05-31</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/paper/html/id/373/Detecting-Spam-Blogs-An-Adaptive-Online-Approach">
  <title><![CDATA[Detecting Spam Blogs: An Adaptive Online Approach]]></title>
  <link>http://ebiquity.umbc.edu/paper/html/id/373/Detecting-Spam-Blogs-An-Adaptive-Online-Approach</link>
  <description><![CDATA[Weblogs, or blogs, are an important new way to publish information, engage in discussions, and form communities on the Internet. Blogs are a global phenomenon, and with numbers well over 100 million they form the core of the emerging paradigm of Social Media. While the utility of blogs is unquestionable, a serious problem now afflicts them, that of spam. Spam blogs, or splogs are blogs with auto-generated or plagiarized content with the sole purpose of hosting profitable contextual ads and/or...]]></description>
  <dc:date>2007-12-10</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/paper/html/id/342/Towards-Spam-Detection-at-Ping-Servers">
  <title><![CDATA[Towards Spam Detection at Ping Servers]]></title>
  <link>http://ebiquity.umbc.edu/paper/html/id/342/Towards-Spam-Detection-at-Ping-Servers</link>
  <description><![CDATA[Spam blogs, or splogs, are blogs featuring plagiarized or auto-generated content. They create link farms to promote affiliates, and are motivated by the profitability of hosting ads. Splogs infiltrate the blogosphere at ping servers, systems that aggregate blog update pings. Over the past year, our work has focused on detecting and eliminating splogs. As techniques used by spammers have evolved, we have learned how splog signatures are tied to tools that create them, that they are beginning t...]]></description>
  <dc:date>2007-03-25</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/paper/html/id/362/Spam-in-Blogs-and-Social-Media-Tutorial">
  <title><![CDATA[Spam in Blogs and Social Media, Tutorial]]></title>
  <link>http://ebiquity.umbc.edu/paper/html/id/362/Spam-in-Blogs-and-Social-Media-Tutorial</link>
  <description><![CDATA[Spam on the Internet dates back over a decade, with its earliest known appearance as an email about the infamous MAKE.MONEY.FAST. campaign. Spam has co-evolved with Internet applications and is now quite common on the World-Wide Web.


As social media systems such as blogs, wikis and bookmark sharing sites have emerged, spammers have quickly developed techniques to infect them as well. The very characteristics underlying the Web, be it version 1.0, 2.0 or 3.0, also enable new varieties o...]]></description>
  <dc:date>2007-03-25</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/paper/html/id/352/The-BlogVox-Opinion-Retrieval-System">
  <title><![CDATA[The BlogVox Opinion Retrieval System]]></title>
  <link>http://ebiquity.umbc.edu/paper/html/id/352/The-BlogVox-Opinion-Retrieval-System</link>
  <description><![CDATA[The BlogVox system retrieves opinionated blog posts specified by ad
hoc queries. BlogVox was developed for the 2006 TREC blog track by the University of
Maryland, Baltimore County and the Johns Hopkins University
Applied Physics Laboratory using a novel system to recognize legitimate  
posts and discriminate against spam blogs.  It also processes posts to eliminate extraneous
non-content, including blog-rolls, link-rolls, advertisements, and
sidebars.  After retrieving posts relevant to...]]></description>
  <dc:date>2007-02-09</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/paper/html/id/318/Blog-Track-Open-Task-Spam-Blog-Classification">
  <title><![CDATA[Blog Track Open Task: Spam Blog Classification]]></title>
  <link>http://ebiquity.umbc.edu/paper/html/id/318/Blog-Track-Open-Task-Spam-Blog-Classification</link>
  <description><![CDATA[Spam blogs or Splogs are blogs created for the sole purpose of hosting
ads, promoting affiliate sites and getting new content indexed, with
auto-generated or plagiarized content from other sources. Spammers
equipped with readily available splog creation software inundate the
blogosphere both at ping servers, and at systems that index and
analyze blogs. Our own studies estimate these numbers to be around 75%
at ping servers and 20% at popular blog search engines. In this open
submission...]]></description>
  <dc:date>2006-11-14</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/paper/html/id/296/Detecting-Spam-Blogs-A-Machine-Learning-Approach">
  <title><![CDATA[Detecting Spam Blogs: A Machine Learning Approach]]></title>
  <link>http://ebiquity.umbc.edu/paper/html/id/296/Detecting-Spam-Blogs-A-Machine-Learning-Approach</link>
  <description><![CDATA[Weblogs or blogs are an important new way to publish
information, engage in discussions, and form communities
on the Internet. The Blogosphere has unfortunately
been infected by several varieties of spam-like
content. Blog search engines, for example, are inundated
by posts from splogs – false blogs with machine
generated or hijacked content whose sole purpose is to
host ads or raise the PageRank of target sites. We discuss
how SVM models based on local and link-based
features can ...]]></description>
  <dc:date>2006-07-16</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/paper/html/id/299/Characterizing-the-Splogosphere">
  <title><![CDATA[Characterizing the Splogosphere]]></title>
  <link>http://ebiquity.umbc.edu/paper/html/id/299/Characterizing-the-Splogosphere</link>
  <description><![CDATA[Weblogs or blogs collectively constitute the Blogosphere, forming
an influential and interesting subset on theWeb. As with
most Internet-enabled applications, the ease of content creation
and distribution makes the blogosphere spam prone.
Spam blogs or splogs are blogs hosting spam posts, created
using machine generated or hijacked content for the sole purpose
of hosting ads or raising the PageRank of target sites.
These splogs make up the splogosphere, and are now inundating
blog sea...]]></description>
  <dc:date>2006-05-23</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/paper/html/id/269/SVMs-for-the-Blogosphere-Blog-Identification-and-Splog-Detection">
  <title><![CDATA[SVMs for the Blogosphere: Blog Identification and Splog Detection]]></title>
  <link>http://ebiquity.umbc.edu/paper/html/id/269/SVMs-for-the-Blogosphere-Blog-Identification-and-Splog-Detection</link>
  <description><![CDATA[Weblogs, or blogs have become an important new way to publish
information, engage in discussions and form communities. The
increasing popularity of blogs has given rise to search and analysis
engines focusing on the 'blogosphere'.  A key requirement of such
systems is to identify blogs as they crawl the Web.
While this ensures that only blogs are indexed, blog search engines
are also often overwhelmed by spam blogs (splogs). Splogs not only
incur computational overheads but also reduce...]]></description>
  <dc:date>2006-03-27</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/resource/html/id/190/Detecting-Spam-Blogs-A-Machine-Learning-Approach">
  <title><![CDATA[Detecting Spam Blogs: A Machine Learning Approach]]></title>
  <link>http://ebiquity.umbc.edu/resource/html/id/190/Detecting-Spam-Blogs-A-Machine-Learning-Approach</link>
  <description><![CDATA[Weblogs or blogs are an important new way to publish information, engage in discussions, and form communities on the Internet. The Blogosphere has unfortunately been infected by several varieties of spam-like content. Blog search engines, for example, are inundated by posts from splogs – false blogs with machine generated or hijacked content whose sole purpose is to host ads or raise the PageRank of target sites. We discuss how SVM models based on local and link-based features can be used t...]]></description>
  <dc:date>2006-07-16</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/resource/html/id/204/Information-extraction-from-social-media">
  <title><![CDATA[Information extraction from social media]]></title>
  <link>http://ebiquity.umbc.edu/resource/html/id/204/Information-extraction-from-social-media</link>
  <description><![CDATA[This presentation gives an overview of recent work at UMBC on extracting information from social media.]]></description>
  <dc:date>2006-10-10</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/resource/html/id/227/On-Leveraging-Social-Media">
  <title><![CDATA[On Leveraging Social Media]]></title>
  <link>http://ebiquity.umbc.edu/resource/html/id/227/On-Leveraging-Social-Media</link>
  <dc:date>2007-06-01</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/resource/html/id/216/Spam-in-Blogs-and-Social-Media">
  <title><![CDATA[Spam in Blogs and Social Media]]></title>
  <link>http://ebiquity.umbc.edu/resource/html/id/216/Spam-in-Blogs-and-Social-Media</link>
  <description><![CDATA[Spam on the Internet dates back over a decade, with its earliest known appearance as an email about the infamous MAKE.MONEY.FAST. campaign. Spam has co-evolved with Internet applications and is now quite common on the World-Wide Web.


As social media systems such as blogs, wikis and bookmark sharing sites have emerged, spammers have quickly developed techniques to infect them as well. The very characteristics underlying the Web, be it version 1.0, 2.0 or 3.0, also enable new varieties o...]]></description>
  <dc:date>2007-04-02</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/resource/html/id/212/Splog-Blog-Dataset">
  <title><![CDATA[Splog Blog Dataset]]></title>
  <link>http://ebiquity.umbc.edu/resource/html/id/212/Splog-Blog-Dataset</link>
  <description><![CDATA[This dataset consists of 3000 blog homepages, out of which 700 have been labeled as splogs, and another 700 as authentic blogs.


This training set was used in results of three papers, with emphasis on identifying blogs [1], on detecting spam blogs [2], and on analysing the splogosphere [3].


This collection can be used in further experimenting with splogs, or for building filters that could be deployed in real world systems. We, and our academic and industrial collaborators have bee...]]></description>
  <dc:date>2006-11-14</dc:date>
 </item>
</rdf:RDF>
