We are proposing a projected titled ``Framework for the mitigation of the spread of rumors in Online social networks.'' the main objective of the project is the proposal of a frame work that is able to mitigate the propagation of rumors in online social networks.The project requires several discipline from different field in computer science, where different compounds of project are illustrated in the proposed figure and listed as follows:
Data collection: As in any problem that deals with data mining, machine learning, or artificial intelligent, the data is the primary resource the investigate any problem. Thus, this step is one the first and significant steps in framework. The main objective is to develop method and algorithm to extract data from online social networks. Then, it requires structuring these data in order the facilitate their storage and exploitation.
Rumor detection: This step has the objective to detect rumors that are spreading in OSNs. In order to accomplish this task four steps as distinguishable, which are: Rumor classification, Rumor tracking, Stance Classification, and Veracity classification.
Study and analysis of rumor propagation process main objective is to study the dynamic propagation process of rumors in online social networks. this component highlights the the influence or the impact of different factors on the propagation of the rumors. These factors could be related the human factors such as: human individuals and social behaviors, or factors inherent to the networks structure.
Rumor influence minimization compounds aims to stop the propagation of rumors in online social networks.
If you have interested this project, I sincerely invite you to follow it: https://www.researchgate.net/project/Framework-for-the-mitigation-of-the-spread-of-rumors-in-Online-social-networks.
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Any collaboration is welcome in this project, we are looking forward to working with you.