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Cited by 31Misinformation and Its ImpactsComplex Network Analysis TechniquesSpam and Phishing Detection

The DOI matches its Crossref record.

Exploiting the topology property of social network for rumor detection

YeKang Yang, Kai Niu, ZhiQiang He·2015·2015 12th International Joint Conference on Computer Science and Software Engineering (JCSSE)
DOI 10.1109/jcsse.2015.7219767
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Abstract

Information credibility gradually shown its significant influence on social networks with high propagation ability and low confidence threshold, leading to the crucial work of identifying rumors. In this paper, we address the special characteristics of Weibo, the most popular microblogging service in China like Twitter, and proposed a general framework to assess the credibility of information. Specially, we analyze the specific topology-related properties of user network, and confirm the impact on credibility evaluation. We use features extracted from the microblogs, from the text of the reviews, and from the network structures. To explore the effectiveness of our approach, we conduct the experiment based on an extensive set of data provided by the community of management center in Weibo. Our results reveal that features considered in previous studies achieve a better performance with the consideration of new features we proposed. We believe the work in this paper open new dimensions in analyzing online disinformation.

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Crossref · 10.1109/jcsse.2015.7219767

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  • Yang et al. (2015) incorporated network features derived from comment providers, and adding the network feature to traditional features substantially improved results.

    “It was shown that when the network feature was added to the traditional features, the results improved substantially.”

    From Detection and Resolution of Rumours in Social Media: A Survey (2019) · cites this paper as Yang et al. (2015)

Citations

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No references could be resolved yet.

Research works printed but not linked: 25

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  5. ratkiewicz, 0, Mapping the Spread of Astroturf in Microblog Streams, WWW 2011
  6. 10.1080/0022250X.2001.9990256 · DOI
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  11. carletta, 1996, Assessing agreement on classification tasks: The kappa statistic, Computational Linguistics, 22, 249c254
  12. tang, 2013, Annual Report on Development of New Media in China
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  14. ringel, 2012, Tweeting is believing? Understanding Microblog Credibility Perceptions, Proc CSCW
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Metadata

Authors
Yang, Y., Niu, K., & He, Z.
Affiliations
Beijing University of Posts and Telecommunications (CN)
ORCID
Venue
2015 12th International Joint Conference on Computer Science and Software Engineering (JCSSE)
Publisher
IEEE
Published
2015-07
Pages
41-46
DOI
10.1109/jcsse.2015.7219767
OpenAlex
W1526711923
Cited by
31
References
0
Citations by year
2024: 1 · 2023: 2 · 2022: 4 · 2021: 5 · 2020: 4 · 2019: 5 · 2018: 5 · 2017: 3 · 2016: 2
FWCI
13.40
Type
conference paper
Language
en
Open access
closed
Locations
International Joint Conference on Computer Science and Software Engineering (publishedVersion)
Topics
  • Social Sciences › Sociology and Political Science › Misinformation and Its Impacts
  • Physical Sciences › Physics and Astronomy › Statistical and Nonlinear Physics › Complex Network Analysis Techniques
  • Physical Sciences › Computer Science › Information Systems › Spam and Phishing Detection
Keywords
rumor detection, social network topology, information credibility, Weibo, microblogging, online disinformation, text features, network characteristics

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