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Analysis and Mining of Social Media Data 2022 : Analysis and Mining of Social Media Data


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Abstract Registration Due Apr 29, 2022
Submission Deadline May 29, 2022
Categories    social media   data science   data mining   web science

Call For Papers

The number of users in online social media has increased substantially in the last two decades. With a growing number of users posting and resharing content, interacting with others and exchanging files, online social media platforms have become an invaluable data source to perform scientific analyses at scale. These analyses are conducted in a wide range of scientific fields, including research in computational social science, understanding social phenomena, natural language processing analyzing language at scale and social network analysis investigating how interactions are shaped online, inter alia.

Along with the many advantages that social media platforms have offered with unprecedented means for communication with one another, they are also often misused for malicious purposes. Indeed, there is evidence of many users exploiting social media platforms to perform uncivil actions and engage in toxic conversations. This can cause harmful consequences for online users, many of whom have no other option but to delete their social media accounts. Detection and mitigation of this kind of activity has become a priority in the scientific community, as is the need to further analyze, measure and understand this phenomenon.

This special issue seeks to gather a diverse set of contributions with novel research analyzing and/or mining social media data to address a wide range of priorities in the scientific community.

Including, but not limited to:
+ Analysis; Detection; Resolution And Mitigation Of Online Malicious Communications
+ Computational Social Science; Social Network Analysis And Social Computing
+ Measurement; Analysis And Modeling Of Social Media – Including Real-Time Analytics
+ Data Collection And Annotation From Social Media
+ Trust Privacy And Security In Social Media
+ Natural Language Processing For Social Media
+ Recommender Systems For Social Media
+ Information Retrieval And Search In Social Media

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