poster

Is spam an issue for opinionated blog post search?

Authors:

SIGIR '09: Proceedings of the 32nd international ACM SIGIR conference on Research and development in information retrieval

Pages 710 - 711

https://doi.org/10.1145/1571941.1572090

Published: 19 July 2009 Publication History

Get Access

Abstract

In opinion-finding, the retrieval system is tasked with retrieving not just relevant documents, but those that also express an opinion towards the query target entity. This task has been studied in the context of the blogosphere by groups participating in the 2006-2008 TREC Blog tracks. Spam blogs (splogs) are thought to be a problem on the blogosphere. In this paper, we investigate the extent to which spam has affected the participating groups' retrieval systems over the three years of the TREC Blog track opinion-finding task. Our results show that spam can be an issue, with most systems retrieving some spam for every topic. However, removing spam from the rankings does not markedly change the relative performance of opinion-finding approaches.

References

[1]

P. Kolari, A. Java, and T. Finin. Characterizing the Splogosphere. In Proceedings of 3rd WWE Workshop at WWW'06, Edinburgh, UK, 2006.

Google Scholar

[2]

I. Ounis, C. Macdonald, and I. Soboroff. On the TREC Blog Track. In Proceedings of ICWSM-2008, Seattle, USA, 2008.

Google Scholar

[3]

I. Ounis, C. Macdonald, I. Soboroff. Overview of TREC-2008 Blog track. In Proceedings of TREC-2008, Gaithersburg, USA, 2009.

Google Scholar

[4]

C. Macdonald and I. Ounis. The TREC Blog06 Collection: Creating and Analysing a Blog Test Collection. DCS Technical Report TR-2006-224. Univ. of Glasgow. 2006. http://www.dcs.gla.ac.uk/~craigm/publications/macdonald06creating.pdf

Google Scholar

Cited By

View all

(2018)Online social networking services and spam detection approaches in opinion mining-a reviewInternational Journal of Web Based Communities10.5555/3302823.330282614:4(353-378)Online publication date: 1-Jan-2018
https://dl.acm.org/doi/10.5555/3302823.3302826
Lau RLiao SKwok RXu KXia YLi Y(2012)Text mining and probabilistic language modeling for online review spam detectionACM Transactions on Management Information Systems10.1145/2070710.20707162:4(1-30)Online publication date: 5-Jan-2012
https://dl.acm.org/doi/10.1145/2070710.2070716
Zeng YKlyuev VWu S(2012)An Opinion Mining Technique For Chinese BlogsFuture Information Technology, Application, and Service10.1007/978-94-007-4516-2_28(281-289)Online publication date: 5-Jun-2012
https://doi.org/10.1007/978-94-007-4516-2_28
Show More Cited By

Index Terms

Is spam an issue for opinionated blog post search?
1. Information systems
  1. Information retrieval

Recommendations

@spam: the underground on 140 characters or less
CCS '10: Proceedings of the 17th ACM conference on Computer and communications security

In this work we present a characterization of spam on Twitter. We find that 8% of 25 million URLs posted to the site point to phishing, malware, and scams listed on popular blacklists. We analyze the accounts that send spam and find evidence that it ...
TrackBack spam: abuse and prevention
CCSW '09: Proceedings of the 2009 ACM workshop on Cloud computing security

Contemporary blogs receive comments and TrackBacks, which result in cross-references between blogs. We conducted a longitudinal study of TrackBack spam, collecting and analyzing almost 10 million samples from a massive spam campaign over a one-year ...
Ranking opinionated blog posts using OpinionFinder
SIGIR '08: Proceedings of the 31st annual international ACM SIGIR conference on Research and development in information retrieval

The aim of an opinion finding system is not just to retrieve relevant documents, but to also retrieve documents that express an opinion towards the query target entity. In this work, we propose a way to use and integrate an opinion-identification ...

Comments

Information & Contributors

Information

Published In

SIGIR '09: Proceedings of the 32nd international ACM SIGIR conference on Research and development in information retrieval

July 2009

896 pages

ISBN:9781605584836

DOI:10.1145/1571941

General Chairs:
James Allan
University of Massachusetts Amherst, USA
,
Javed Aslam
Northeastern University, USA
,
Program Chairs:
Mark Sanderson
University of Sheffield, UK
,
ChengXiang Zhai
University of Illinois at Urbana-Champaign, USA
,
Justin Zobel
University of Melbourne, Australia

Publisher

Association for Computing Machinery

New York, NY, United States

Publication History

Published: 19 July 2009

Permissions

Request permissions for this article.

Request Permissions

Check for updates

Author Tags

Qualifiers

Poster

Conference

SIGIR '09

Sponsor:

SIGIR '09: The 32nd International ACM SIGIR conference on research and development in Information Retrieval

July 19 - 23, 2009

MA, Boston, USA

Acceptance Rates

Overall Acceptance Rate 792 of 3,983 submissions, 20%

Contributors

Other Metrics

View Article Metrics

Bibliometrics & Citations

Bibliometrics

Article Metrics

8
Total Citations
View Citations
422
Total Downloads

Downloads (Last 12 months)1
Downloads (Last 6 weeks)0

Reflects downloads up to 06 Jan 2025

Other Metrics

View Author Metrics

Citations

Cited By

View all

(2018)Online social networking services and spam detection approaches in opinion mining-a reviewInternational Journal of Web Based Communities10.5555/3302823.330282614:4(353-378)Online publication date: 1-Jan-2018
https://dl.acm.org/doi/10.5555/3302823.3302826
Lau RLiao SKwok RXu KXia YLi Y(2012)Text mining and probabilistic language modeling for online review spam detectionACM Transactions on Management Information Systems10.1145/2070710.20707162:4(1-30)Online publication date: 5-Jan-2012
https://dl.acm.org/doi/10.1145/2070710.2070716
Zeng YKlyuev VWu S(2012)An Opinion Mining Technique For Chinese BlogsFuture Information Technology, Application, and Service10.1007/978-94-007-4516-2_28(281-289)Online publication date: 5-Jun-2012
https://doi.org/10.1007/978-94-007-4516-2_28
Cormack GSmucker MClarke C(2011)Efficient and effective spam filtering and re-ranking for large web datasetsInformation Retrieval10.1007/s10791-011-9162-z14:5(441-465)Online publication date: 30-Jan-2011
https://doi.org/10.1007/s10791-011-9162-z
Lau RZhang WXia YSong D(2011)Multi-facets Quality Assessment of Online Opinionated ExpressionsWeb Information Systems Engineering – WISE 2010 Workshops10.1007/978-3-642-24396-7_17(212-225)Online publication date: 2011
https://doi.org/10.1007/978-3-642-24396-7_17
Lau RZhang WXia YSong D(2010)Multi-facets quality assessment of online opinionated expressionsProceedings of the 2010 international conference on Web information systems engineering10.5555/2044492.2044514(212-225)Online publication date: 12-Dec-2010
https://dl.acm.org/doi/10.5555/2044492.2044514
Macdonald CSantos ROunis ISoboroff I(2010)Blog track research at TRECACM SIGIR Forum10.1145/1842890.184289944:1(58-75)Online publication date: 18-Aug-2010
https://dl.acm.org/doi/10.1145/1842890.1842899
Lai CXu KLau RLi YJing L(2010)Toward a Language Modeling Approach for Consumer Review Spam Detection2010 IEEE 7th International Conference on E-Business Engineering10.1109/ICEBE.2010.47(1-8)Online publication date: Nov-2010
https://doi.org/10.1109/ICEBE.2010.47

View Options

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

@spam: the underground on 140 characters or less

TrackBack spam: abuse and prevention

Ranking opinionated blog posts using OpinionFinder