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Asia Information Retrieval Symposium

AIRS 2018: Information Retrieval Technology pp 29–35Cite as

StanceComp: Aggregating Stances from Multiple Sources for Rumor Detection

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Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 11292))

Abstract

With the rapid development of the Internet, social media has become a major information dissemination platform where any users can post and share information. Although this facilitates the share of breaking news, it also becomes the fertile land for the spread of malicious rumors. On the contrary, online news media might lag behind on reporting breaking news but their articles are more reliable since the journalists often go to verify the information before they report it. Intuitively, when users try to decide whether to trust a claim they saw on the social media, they would want to check stances of the same claim on social media and news media. More specifically, they want to know the opinions of other users, i.e., whether they support or against the claim. To facilitate such a process, we develop StanceComp(https://stancecomp.herokuapp.com), which aggregates the relevant information about a claim and compares the stances of the claim for both social media and news media. The developed system aims to provide a summary of the stances for the claim so that users can have a more comprehensive understanding of the information to detect potential rumors.

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Notes

  1. 1.

    https://www.snopes.com/fact-check/gabapentin-newest-prescription-drug-killer/.

  2. 2.

    https://github.com/Jefferson-Henrique/GetOldTweets-python.

  3. 3.

    http://scikit-learn.org/.

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Acknowledgements

This research was supported by the University of Delaware Cybersecurity Initiative (UD CSI) Research Grant.

Author information

Authors and Affiliations

  1. Department of Electrical and Computer Engineering, University of Delaware, Newark, USA

    Hao Xu & Hui Fang

Authors
  1. Hao Xu
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  2. Hui Fang
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Corresponding author

Correspondence to Hao Xu .

Editor information

Editors and Affiliations

  1. National Taiwan Normal University, Taipei, Taiwan

    Yuen-Hsien Tseng

  2. Waseda University, Tokyo, Japan

    Tetsuya Sakai

  3. School of Information Systems, Singapore Management University, Singapore, Singapore

    Jing Jiang

  4. Academia Sinica, Taipei, Taiwan

    Lun-Wei Ku

  5. Huawei Research America, Champaign, IL, USA

    Dae Hoon Park

  6. National Chiayi University, Chiayi City, Taiwan

    Jui-Feng Yeh

  7. Yuan Ze University, Taoyuan City, Taiwan

    Liang-Chih Yu

  8. National Central University, Taoyuan City, Taiwan

    Lung-Hao Lee

  9. National Taiwan Normal University, Taipei City, Taiwan

    Zhi-Hong Chen

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Cite this paper

Xu, H., Fang, H. (2018). StanceComp: Aggregating Stances from Multiple Sources for Rumor Detection. In: Tseng, YH., et al. Information Retrieval Technology. AIRS 2018. Lecture Notes in Computer Science(), vol 11292. Springer, Cham. https://doi.org/10.1007/978-3-030-03520-4_3

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  • DOI: https://doi.org/10.1007/978-3-030-03520-4_3

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-03519-8

  • Online ISBN: 978-3-030-03520-4

  • eBook Packages: Computer ScienceComputer Science (R0)

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