Proceedings of the 2022 2nd International Conference on Education, Information Management and Service Science (EIMSS 2022)

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Design and Implementation of Automatic Rumor Detection System Based on Opposite Meaning Searching

Authors
Haori Lu1, Jingrong Wang1, Jiazhen Song2, Yutong Li1, Peng Nie3, *
1College of Cyber Science, Nankai University, Tianjin, 300350, China
2College of Computer Science, Nankai University, Tianjin, 300350, China
3College of Cyber Science & Tianjin Key Laboratory of Network and Data Security Technology, Nankai University, Tianjin, 300350, China
*Corresponding author. Email: niepeng@nankai.edu.cn
Corresponding Author
Peng Nie
Available Online 12 December 2022.
DOI
10.2991/978-94-6463-024-4_82How to use a DOI?
Keywords
Rumor Detection; Opposite Meaning Searching; Text Summarization; Keywords Extraction
Abstract

With the development of social networks, information on social platforms is exploding. However, Plenty of rumors have also appeared on social platforms, which significantly affect social stability. To reduce the harm of rumors, we design and implement an automatic rumor detection system. In this system, we propose a new rumor detection method based on opposite meaning searching. This method constantly searches pairs of messages with opposite meaning in same event, and conducts rumor detection on them. The core of our system consists of two modules: content understanding module and opposition analysis module. In the content understanding module, the system extracts summaries and keywords of messages and stores them in the database to enhance the subsequent detection effectiveness of the system. In the opposition analysis module, the system judges whether the meanings of the summaries are opposing and finds the message that is a rumor among the pair of messages with opposite meanings. If a pair of messages from the same event have opposite meanings, one of them is very likely to be a rumor, so by finding a pair of messages with opposite meanings, the system can detect rumors more efficiently and accurately, and the detection results are more interpretable.

Copyright
© 2023 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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Volume Title
Proceedings of the 2022 2nd International Conference on Education, Information Management and Service Science (EIMSS 2022)
Series
Atlantis Highlights in Computer Sciences
Publication Date
12 December 2022
ISBN
978-94-6463-024-4
ISSN
2589-4900
DOI
10.2991/978-94-6463-024-4_82How to use a DOI?
Copyright
© 2023 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

risenwbib
TY  - CONF
AU  - Haori Lu
AU  - Jingrong Wang
AU  - Jiazhen Song
AU  - Yutong Li
AU  - Peng Nie
PY  - 2022
DA  - 2022/12/12
TI  - Design and Implementation of Automatic Rumor Detection System Based on Opposite Meaning Searching
BT  - Proceedings of the 2022 2nd International Conference on Education, Information Management and Service Science (EIMSS 2022)
PB  - Atlantis Press
SP  - 783
EP  - 791
SN  - 2589-4900
UR  - https://doi.org/10.2991/978-94-6463-024-4_82
DO  - 10.2991/978-94-6463-024-4_82
ID  - Lu2022
ER  -