Online Social Networks and Media (OSNEM)

Online Social Networks and Media (OSNEM) are one of the most disruptive communication platforms of the last 15 years with high socio-economic value. Nowadays, OSNEM are regularly used by billions of users to interact, and they are key platforms for (among others) content and opinion dissemination, social and professional networking, recommendations, scouting, alerting, and political campaigns. The use of social technologies has become a sweeping cultural, social and economic phenomenon. Social platforms can exploit the "cognitive surplus" of our society for creating content and support collaboration. Moreover, the widespread diffusion of mobile personal devices (smartphones and tablets) is boosting the pervasive use of OSNEM services, as well as fostering the design of novel social networking services where users' mobility is one of the key features. OSNEM, thus, represent a challenging environment for computer scientists working in academia and industry, to develop innovative ideas, fostering the design of the new generation of communication platforms and their services. The pervasive penetration of OSNEM in our lives is having very significant impacts also on the type of OSNEM services and, more in general, on societal services. The digital footprints that people leaves in OSNEM provide a unique source to investigate and understand (by exploiting data mining and machine learning techniques) people's behavior (e.g., mobility patterns, opinions and interests spreading), and human relationships in the society. OSNEM can thus become a (social) microscope for understanding the human behavior both in the cyber and in the physical world and hence can be a powerful tool for investigating societal phenomena (the epidemics spreading, the terrorist networks, the diffusion of opinions, the pulse of a city, etc.) and develop innovative services.

Online Social Networks and Media (OSNEM) is :-

• International, Peer-Reviewed, Open Access, Refereed, social network analysis, information diffusion, user behavior modeling, content recommendation systems, the impact of social media on society, misinformation and fake news detection, online privacy and security, sentiment analysis, the role of artificial intelligence and machine learning in social media analytics, Social Network Analysis, Data Science and Machine Learning, Computer Science and Information Systems, Communication and Media Studies, Artificial Intelligence Applications , Online , Continuously Journal

• UGC Approved, ISSN Approved: P-ISSN E-ISSN: 2468-6964, Established: 2017, Impact Factor: 2.9
• Does Not Provide Crossref DOI

• Not indexed in Scopus, WoS, DOAJ, PubMed, UGC CARE