CNMF: A Community-Based Fake News Mitigation Framework
Fake news propagation in online social networks (OSN) is one of the critical societal threats nowadays directing attention to fake news mitigation and intervention techniques. One of the typical mitigation techniques focus on initiating news mitigation campaigns targeting a specific set of users whe...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2021-09-01
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| Series: | Information |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2078-2489/12/9/376 |
| _version_ | 1829092276136050688 |
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| author | Shaimaa Galal Noha Nagy Mohamed. E. El-Sharkawi |
| author_facet | Shaimaa Galal Noha Nagy Mohamed. E. El-Sharkawi |
| author_sort | Shaimaa Galal |
| collection | DOAJ |
| description | Fake news propagation in online social networks (OSN) is one of the critical societal threats nowadays directing attention to fake news mitigation and intervention techniques. One of the typical mitigation techniques focus on initiating news mitigation campaigns targeting a specific set of users when the infected set of users is known or targeting the entire network when the infected set of users is unknown. The contemporary mitigation techniques assume the campaign users’ acceptance to share a mitigation news (MN); however, in reality, user behavior is different. This paper focuses on devising a generic mitigation framework, where the social crowd can be employed to combat the influence of fake news in OSNs when the infected set of users is undefined. The framework is composed of three major phases: facts discovery, facts searching and, community recommendation. Mitigation news circulation is accomplished by recruiting a set of social crowd users (news propagators) who are likely to accept posting the mitigation news article. We propose a set of features that identify prospect OSN audiences and news propagators. Moreover, we inspect the variant properties of the news circulation process, such as incentivizing news propagators, determining the required number of news propagators, and the adaptivity of the MN circulation process. The paper pinpoints the significance of facts searching and news propagator’s behavior features introduced in the experimental results. |
| first_indexed | 2024-03-10T07:35:01Z |
| format | Article |
| id | doaj.art-93b4feca6a85402985051a689464b31d |
| institution | Directory Open Access Journal |
| issn | 2078-2489 |
| language | English |
| last_indexed | 2024-03-10T07:35:01Z |
| publishDate | 2021-09-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Information |
| spelling | doaj.art-93b4feca6a85402985051a689464b31d2023-11-22T13:35:34ZengMDPI AGInformation2078-24892021-09-0112937610.3390/info12090376CNMF: A Community-Based Fake News Mitigation FrameworkShaimaa Galal0Noha Nagy1Mohamed. E. El-Sharkawi2Faculty of Computers and Artificial Intelligence, Cairo University, Giza 12613, EgyptFaculty of Computers and Artificial Intelligence, Cairo University, Giza 12613, EgyptFaculty of Computers and Artificial Intelligence, Cairo University, Giza 12613, EgyptFake news propagation in online social networks (OSN) is one of the critical societal threats nowadays directing attention to fake news mitigation and intervention techniques. One of the typical mitigation techniques focus on initiating news mitigation campaigns targeting a specific set of users when the infected set of users is known or targeting the entire network when the infected set of users is unknown. The contemporary mitigation techniques assume the campaign users’ acceptance to share a mitigation news (MN); however, in reality, user behavior is different. This paper focuses on devising a generic mitigation framework, where the social crowd can be employed to combat the influence of fake news in OSNs when the infected set of users is undefined. The framework is composed of three major phases: facts discovery, facts searching and, community recommendation. Mitigation news circulation is accomplished by recruiting a set of social crowd users (news propagators) who are likely to accept posting the mitigation news article. We propose a set of features that identify prospect OSN audiences and news propagators. Moreover, we inspect the variant properties of the news circulation process, such as incentivizing news propagators, determining the required number of news propagators, and the adaptivity of the MN circulation process. The paper pinpoints the significance of facts searching and news propagator’s behavior features introduced in the experimental results.https://www.mdpi.com/2078-2489/12/9/376fake newsfake news mitigationnews propagators’ profilingsocial crowd |
| spellingShingle | Shaimaa Galal Noha Nagy Mohamed. E. El-Sharkawi CNMF: A Community-Based Fake News Mitigation Framework Information fake news fake news mitigation news propagators’ profiling social crowd |
| title | CNMF: A Community-Based Fake News Mitigation Framework |
| title_full | CNMF: A Community-Based Fake News Mitigation Framework |
| title_fullStr | CNMF: A Community-Based Fake News Mitigation Framework |
| title_full_unstemmed | CNMF: A Community-Based Fake News Mitigation Framework |
| title_short | CNMF: A Community-Based Fake News Mitigation Framework |
| title_sort | cnmf a community based fake news mitigation framework |
| topic | fake news fake news mitigation news propagators’ profiling social crowd |
| url | https://www.mdpi.com/2078-2489/12/9/376 |
| work_keys_str_mv | AT shaimaagalal cnmfacommunitybasedfakenewsmitigationframework AT nohanagy cnmfacommunitybasedfakenewsmitigationframework AT mohamedeelsharkawi cnmfacommunitybasedfakenewsmitigationframework |