Design and Implementation of Automatic Rumor Detection System Based on Opposite Meaning Searching
- 10.2991/978-94-6463-024-4_82How to use a DOI?
- Rumor Detection; Opposite Meaning Searching; Text Summarization; Keywords Extraction
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.
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Cite this article
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 -