Analyzing the Spread of Misinformation on Social Networks: A Process and Software Architecture for Detection and Analysis
The rapid dissemination of misinformation on social networks, particularly during public health crises like the COVID-19 pandemic, has become a significant concern. This study investigates the spread of misinformation on social network data using social network analysis (SNA) metrics, and more gener...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2023-11-01
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| Series: | Computers |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2073-431X/12/11/232 |
| _version_ | 1797459697928765440 |
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| author | Zafer Duzen Mirela Riveni Mehmet S. Aktas |
| author_facet | Zafer Duzen Mirela Riveni Mehmet S. Aktas |
| author_sort | Zafer Duzen |
| collection | DOAJ |
| description | The rapid dissemination of misinformation on social networks, particularly during public health crises like the COVID-19 pandemic, has become a significant concern. This study investigates the spread of misinformation on social network data using social network analysis (SNA) metrics, and more generally by using well known network science metrics. Moreover, we propose a process design that utilizes social network data from Twitter, to analyze the involvement of non-trusted accounts in spreading misinformation supported by a proof-of-concept prototype. The proposed prototype includes modules for data collection, data preprocessing, network creation, centrality calculation, community detection, and misinformation spreading analysis. We conducted an experimental study on a COVID-19-related Twitter dataset using the modules. The results demonstrate the effectiveness of our approach and process steps, and provides valuable insight into the application of network science metrics on social network data for analysing various influence-parameters in misinformation spreading. |
| first_indexed | 2024-03-09T16:55:07Z |
| format | Article |
| id | doaj.art-cab6c1aa93814aecb2667b2e17adf1e2 |
| institution | Directory Open Access Journal |
| issn | 2073-431X |
| language | English |
| last_indexed | 2024-03-09T16:55:07Z |
| publishDate | 2023-11-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Computers |
| spelling | doaj.art-cab6c1aa93814aecb2667b2e17adf1e22023-11-24T14:36:31ZengMDPI AGComputers2073-431X2023-11-01121123210.3390/computers12110232Analyzing the Spread of Misinformation on Social Networks: A Process and Software Architecture for Detection and AnalysisZafer Duzen0Mirela Riveni1Mehmet S. Aktas2Department of Computer Engineering, Yildiz Technical University, 34220 Istanbul, TurkeyInformation Systems Group, University of Groningen, 9747 AG Groningen, The NetherlandsDepartment of Computer Engineering, Yildiz Technical University, 34220 Istanbul, TurkeyThe rapid dissemination of misinformation on social networks, particularly during public health crises like the COVID-19 pandemic, has become a significant concern. This study investigates the spread of misinformation on social network data using social network analysis (SNA) metrics, and more generally by using well known network science metrics. Moreover, we propose a process design that utilizes social network data from Twitter, to analyze the involvement of non-trusted accounts in spreading misinformation supported by a proof-of-concept prototype. The proposed prototype includes modules for data collection, data preprocessing, network creation, centrality calculation, community detection, and misinformation spreading analysis. We conducted an experimental study on a COVID-19-related Twitter dataset using the modules. The results demonstrate the effectiveness of our approach and process steps, and provides valuable insight into the application of network science metrics on social network data for analysing various influence-parameters in misinformation spreading.https://www.mdpi.com/2073-431X/12/11/232process for network data analysismisinformation detectionnetwork analysiscommunity detection |
| spellingShingle | Zafer Duzen Mirela Riveni Mehmet S. Aktas Analyzing the Spread of Misinformation on Social Networks: A Process and Software Architecture for Detection and Analysis Computers process for network data analysis misinformation detection network analysis community detection |
| title | Analyzing the Spread of Misinformation on Social Networks: A Process and Software Architecture for Detection and Analysis |
| title_full | Analyzing the Spread of Misinformation on Social Networks: A Process and Software Architecture for Detection and Analysis |
| title_fullStr | Analyzing the Spread of Misinformation on Social Networks: A Process and Software Architecture for Detection and Analysis |
| title_full_unstemmed | Analyzing the Spread of Misinformation on Social Networks: A Process and Software Architecture for Detection and Analysis |
| title_short | Analyzing the Spread of Misinformation on Social Networks: A Process and Software Architecture for Detection and Analysis |
| title_sort | analyzing the spread of misinformation on social networks a process and software architecture for detection and analysis |
| topic | process for network data analysis misinformation detection network analysis community detection |
| url | https://www.mdpi.com/2073-431X/12/11/232 |
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