Multidisciplinary Fusion Perspective Analysis Method for False Information Recognition
Combating misinformation is one of the urgent social crises. Much research has shown that disinformation can lead to social panic and adversely affect society. It is crucial to promptly detect and counteract misinformation to reduce its adverse effects. Although progress in text-based fact verific...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
Stefan cel Mare University of Suceava
2024-02-01
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| Series: | Advances in Electrical and Computer Engineering |
| Subjects: | |
| Online Access: | http://dx.doi.org/10.4316/AECE.2024.01007 |
| _version_ | 1797281003998281728 |
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| author | FAN, W. WANG, Y. |
| author_facet | FAN, W. WANG, Y. |
| author_sort | FAN, W. |
| collection | DOAJ |
| description | Combating misinformation is one of the urgent social crises. Much research has shown that disinformation
can lead to social panic and adversely affect society. It is crucial to promptly detect and counteract
misinformation to reduce its adverse effects. Although progress in text-based fact verification has been made,
the community needs further exploration into the user-oriented results. To address this gap, we integrate
theories from linguistics, journalism, psychology, and cognitive science. We propose a disinformation detection
algorithm based on multidimensional content analysis. This algorithm combines human factors and user perception
in text interactive media to establish six dimensions for comprehensive content analysis. We have proposed
a quantitative calculation method corresponding to six dimensions to detect misinformation. The average accuracy
of the proposed model test on four datasets is 95.28%. The results show that this algorithm can effectively analyze
from a multidisciplinary theoretical perspective and effectively identify misinformation in Chinese and English. |
| first_indexed | 2024-03-07T16:49:18Z |
| format | Article |
| id | doaj.art-996de03f026e4d58ab3e2f27fc9f0e9d |
| institution | Directory Open Access Journal |
| issn | 1582-7445 1844-7600 |
| language | English |
| last_indexed | 2024-03-07T16:49:18Z |
| publishDate | 2024-02-01 |
| publisher | Stefan cel Mare University of Suceava |
| record_format | Article |
| series | Advances in Electrical and Computer Engineering |
| spelling | doaj.art-996de03f026e4d58ab3e2f27fc9f0e9d2024-03-03T05:56:19ZengStefan cel Mare University of SuceavaAdvances in Electrical and Computer Engineering1582-74451844-76002024-02-01241617010.4316/AECE.2024.01007Multidisciplinary Fusion Perspective Analysis Method for False Information RecognitionFAN, W.WANG, Y.Combating misinformation is one of the urgent social crises. Much research has shown that disinformation can lead to social panic and adversely affect society. It is crucial to promptly detect and counteract misinformation to reduce its adverse effects. Although progress in text-based fact verification has been made, the community needs further exploration into the user-oriented results. To address this gap, we integrate theories from linguistics, journalism, psychology, and cognitive science. We propose a disinformation detection algorithm based on multidimensional content analysis. This algorithm combines human factors and user perception in text interactive media to establish six dimensions for comprehensive content analysis. We have proposed a quantitative calculation method corresponding to six dimensions to detect misinformation. The average accuracy of the proposed model test on four datasets is 95.28%. The results show that this algorithm can effectively analyze from a multidisciplinary theoretical perspective and effectively identify misinformation in Chinese and English.http://dx.doi.org/10.4316/AECE.2024.01007artificial intelligencemachine learningsupport vector machinessocial computingnatural language processing |
| spellingShingle | FAN, W. WANG, Y. Multidisciplinary Fusion Perspective Analysis Method for False Information Recognition Advances in Electrical and Computer Engineering artificial intelligence machine learning support vector machines social computing natural language processing |
| title | Multidisciplinary Fusion Perspective Analysis Method for False Information Recognition |
| title_full | Multidisciplinary Fusion Perspective Analysis Method for False Information Recognition |
| title_fullStr | Multidisciplinary Fusion Perspective Analysis Method for False Information Recognition |
| title_full_unstemmed | Multidisciplinary Fusion Perspective Analysis Method for False Information Recognition |
| title_short | Multidisciplinary Fusion Perspective Analysis Method for False Information Recognition |
| title_sort | multidisciplinary fusion perspective analysis method for false information recognition |
| topic | artificial intelligence machine learning support vector machines social computing natural language processing |
| url | http://dx.doi.org/10.4316/AECE.2024.01007 |
| work_keys_str_mv | AT fanw multidisciplinaryfusionperspectiveanalysismethodforfalseinformationrecognition AT wangy multidisciplinaryfusionperspectiveanalysismethodforfalseinformationrecognition |