Intention embedding method based social bot detection
Artificial intelligence generated content technology has significantly enhanced the disguise capabilities of social bots, presenting new challenges to existing bot detection methods. By modeling the intentions of social media users through intention representation, a intention embedding method based...
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| Main Authors: | , , , |
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| Format: | Article |
| Language: | zho |
| Published: |
Editorial Department of Journal on Communications
2024-11-01
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| Series: | Tongxin xuebao |
| Subjects: | |
| Online Access: | http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2024205/ |
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| _version_ | 1841537112660246528 |
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| author | NIU Hongfeng LI Jiawei SONG Yunpeng CAI Zhongmin |
| author_facet | NIU Hongfeng LI Jiawei SONG Yunpeng CAI Zhongmin |
| author_sort | NIU Hongfeng |
| collection | DOAJ |
| description | Artificial intelligence generated content technology has significantly enhanced the disguise capabilities of social bots, presenting new challenges to existing bot detection methods. By modeling the intentions of social media users through intention representation, a intention embedding method based social bot detection was proposed, thereby avoiding the difficulty of directly detecting bots with enhanced behavioral camouflage at the action level on social platforms. Experimental results show that the detection model using intention embedding improves the accuracy of social bot detection by 5.58 percentage points compared to models not utilizing intention embedding, and it enhances the recognition capability of specific types of social bots, verifying the effectiveness of intention embedding in improving the performance of human-bot detection tasks. |
| format | Article |
| id | doaj-art-1f990867ec4b4045bee8cce16679d6e9 |
| institution | Kabale University |
| issn | 1000-436X |
| language | zho |
| publishDate | 2024-11-01 |
| publisher | Editorial Department of Journal on Communications |
| record_format | Article |
| series | Tongxin xuebao |
| spelling | doaj-art-1f990867ec4b4045bee8cce16679d6e92025-01-14T08:46:22ZzhoEditorial Department of Journal on CommunicationsTongxin xuebao1000-436X2024-11-014519420579134587Intention embedding method based social bot detectionNIU HongfengLI JiaweiSONG YunpengCAI ZhongminArtificial intelligence generated content technology has significantly enhanced the disguise capabilities of social bots, presenting new challenges to existing bot detection methods. By modeling the intentions of social media users through intention representation, a intention embedding method based social bot detection was proposed, thereby avoiding the difficulty of directly detecting bots with enhanced behavioral camouflage at the action level on social platforms. Experimental results show that the detection model using intention embedding improves the accuracy of social bot detection by 5.58 percentage points compared to models not utilizing intention embedding, and it enhances the recognition capability of specific types of social bots, verifying the effectiveness of intention embedding in improving the performance of human-bot detection tasks.http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2024205/social bot detectionintention representationintention embeddingartificial intelligence generated content |
| spellingShingle | NIU Hongfeng LI Jiawei SONG Yunpeng CAI Zhongmin Intention embedding method based social bot detection Tongxin xuebao social bot detection intention representation intention embedding artificial intelligence generated content |
| title | Intention embedding method based social bot detection |
| title_full | Intention embedding method based social bot detection |
| title_fullStr | Intention embedding method based social bot detection |
| title_full_unstemmed | Intention embedding method based social bot detection |
| title_short | Intention embedding method based social bot detection |
| title_sort | intention embedding method based social bot detection |
| topic | social bot detection intention representation intention embedding artificial intelligence generated content |
| url | http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2024205/ |
| work_keys_str_mv | AT niuhongfeng intentionembeddingmethodbasedsocialbotdetection AT lijiawei intentionembeddingmethodbasedsocialbotdetection AT songyunpeng intentionembeddingmethodbasedsocialbotdetection AT caizhongmin intentionembeddingmethodbasedsocialbotdetection |