poster

Online spam-blog detection through blog search

Authors:

Linhong Zhu,

Aixin Sun,

Byron ChoiAuthors Info & Claims

CIKM '08: Proceedings of the 17th ACM conference on Information and knowledge management

Pages 1347 - 1348

https://doi.org/10.1145/1458082.1458272

Published: 26 October 2008 Publication History

Get Access

Abstract

In this work, we propose a novel post-indexing spam-blog (or splog) detection method, which capitalizes on the results returned by blog search engines. More specifically, we analyze the search results of a sequence of temporally-ordered queries returned by a blog search engine, and build and maintain Blog profiles for those blogs whose posts frequently appear in the top-ranked search results. With the blog profiles, 4 splog scoring functions were evaluated using real data collected from a popular blog search engine. Our experiments show that the proposed method could effectively detect splogs with a high accuracy.

References

[1]

J. Leskovec, J. Kleinberg, and C. Faloutsos. Graphs over time: densification laws, shrinking diameters and possible explanations. In Proc. of KDD, pages 177--187, 2005.

Digital Library

Google Scholar

[2]

Y.-R. Lin, H. Sundaram, Y. Chi, J. Tatemura, and B. L. Tseng. Detecting splogs via temporal dynamics using self-similarity analysis. ACM Trans. Web, 2(1), 2008.

Digital Library

Google Scholar

[3]

D. Ren, I. Rahal, W. Perrizo, and K. Scott. A vertical distance-based outlier detection method with local pruning. In Proc. of CIKM, pages 279--284, 2004.

Digital Library

Google Scholar

[4]

D. Sifry. State of the blogosphere august 2005 part 4: Spam and fake blogs, August 2005. http://technorati.com/weblog/2005/08/38.html.

Google Scholar

[5]

A. Sun, M. Hu, and E.-P. Lim. Searching blogs and news: A study on popular queries. In Proc. of SIGIR, pages 729--730, Singapore, July 2008.

Digital Library

Google Scholar

Cited By

View all

Chen L(2019)Based on The Document-Link and Time-Clue Relationships Between Blog Posts to Improve the Performance of Google Blog SearchInternational Journal on Semantic Web & Information Systems10.4018/IJSWIS.201901010315:1(52-75)Online publication date: 1-Jan-2019
https://dl.acm.org/doi/10.4018/IJSWIS.2019010103
Chen LChen DLai M(2019)A novel time-shifting method to find popular blog post topicsSoft Computing10.1007/s00500-019-04485-3Online publication date: 2-Nov-2019
https://doi.org/10.1007/s00500-019-04485-3
Keller SKorkmaz GOrr MSchroeder AShipp S(2017)The Evolution of Data Quality: Understanding the Transdisciplinary Origins of Data Quality Concepts and ApproachesAnnual Review of Statistics and Its Application10.1146/annurev-statistics-060116-0541144:1(85-108)Online publication date: 7-Mar-2017
https://doi.org/10.1146/annurev-statistics-060116-054114
Show More Cited By

Index Terms

Online spam-blog detection through blog search
1. Information systems
  1. Information retrieval
    1. Retrieval tasks and goals
      1. Document filtering
      2. Information extraction

Recommendations

Detecting spam blogs from blog search results

Blogging has been an emerging media for people to express themselves. However, the presence of spam blogs (also known as splogs) may reduce the value of blogs and blog search engines. Hence, splog detection has recently attracted much attention from ...
Exploring the Relationship between Keywords and Feed Elements in Blog Post Search

Blogs are increasingly accepted as a useful means to proliferate a variety of information on the web. As the popularity of blogs grows rapidly, a number of blog search engines have appeared recently to help users access and discover blog posts ...
To Blog or Not to Blog: Characterizing and Predicting Retention in Community Blogs
SocialCom '14: Proceedings of the 2014 International Conference on Social Computing

Community blogging is a medium for publishing daily journals, expressing opinions or ideas, and sharing knowledge. Blogging has a high impact on marketing, shaping public opinions, and informing the world about major events from a grassroots point of ...

Comments

Information & Contributors

Information

Published In

CIKM '08: Proceedings of the 17th ACM conference on Information and knowledge management

October 2008

1562 pages

ISBN:9781595939913

DOI:10.1145/1458082

General Chair:
James G. Shanahan
Church and Duncan Group Inc, USA
,
Program Chairs:
Sihem Amer-Yahia
Yahoo! Research, USA
,
Ioana Manolescu
INRIA, France
,
Yi Zhang
University of California, Santa Cruz, USA
,
David A. Evans
JustSystems Evans Research, USA
,
Alek Kolcz
Microsoft Live Labs, USA
,
Key-Sun Choi
KAIST, Korea
,
Abdur Chowdury
Twitter, USA

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

Publisher

Association for Computing Machinery

New York, NY, United States

Publication History

Published: 26 October 2008

Permissions

Request permissions for this article.

Request Permissions

Check for updates

Author Tag

spam blog detection

Qualifiers

Poster

Conference

CIKM08

Sponsor:

CIKM08: Conference on Information and Knowledge Management

October 26 - 30, 2008

California, Napa Valley, USA

Acceptance Rates

Overall Acceptance Rate 1,861 of 8,427 submissions, 22%

Upcoming Conference

Contributors

Other Metrics

View Article Metrics

Bibliometrics & Citations

Bibliometrics

Article Metrics

6
Total Citations
View Citations
378
Total Downloads

Downloads (Last 12 months)3
Downloads (Last 6 weeks)0

Reflects downloads up to 03 Oct 2024

Other Metrics

View Author Metrics

Citations

Cited By

View all

Chen L(2019)Based on The Document-Link and Time-Clue Relationships Between Blog Posts to Improve the Performance of Google Blog SearchInternational Journal on Semantic Web & Information Systems10.4018/IJSWIS.201901010315:1(52-75)Online publication date: 1-Jan-2019
https://dl.acm.org/doi/10.4018/IJSWIS.2019010103
Chen LChen DLai M(2019)A novel time-shifting method to find popular blog post topicsSoft Computing10.1007/s00500-019-04485-3Online publication date: 2-Nov-2019
https://doi.org/10.1007/s00500-019-04485-3
Keller SKorkmaz GOrr MSchroeder AShipp S(2017)The Evolution of Data Quality: Understanding the Transdisciplinary Origins of Data Quality Concepts and ApproachesAnnual Review of Statistics and Its Application10.1146/annurev-statistics-060116-0541144:1(85-108)Online publication date: 7-Mar-2017
https://doi.org/10.1146/annurev-statistics-060116-054114
Meinel CBroß JBerger PHennig PMeinel CBroß JBerger PHennig P(2015)Judging Consistency and Expertise of BlogsBlogosphere and its Exploration10.1007/978-3-662-44409-2_16(211-240)Online publication date: 2015
https://doi.org/10.1007/978-3-662-44409-2_16
Abdul Rasheed AMohamed Sathik M(2013)Moblog-Based Social NetworksSocial Networks: A Framework of Computational Intelligence10.1007/978-3-319-02993-1_5(75-97)Online publication date: 10-Dec-2013
https://doi.org/10.1007/978-3-319-02993-1_5
Ammari ADimitrova VDespotakis D(2011)Identifying relevant youtube comments to derive socially augmented user modelsProceedings of the 19th international conference on Advances in User Modeling10.1007/978-3-642-28509-7_8(71-85)Online publication date: 11-Jul-2011
https://dl.acm.org/doi/10.1007/978-3-642-28509-7_8

View Options

Get Access

Login options

Check if you have access through your login credentials or your institution to get full access on this article.

Cited By

Index Terms

Recommendations

Detecting spam blogs from blog search results

Exploring the Relationship between Keywords and Feed Elements in Blog Post Search

To Blog or Not to Blog: Characterizing and Predicting Retention in Community Blogs