Nowadays, online social media platforms have become the most popular communication system all over the world. In fact, due to the accessibility and the public of these platforms, users tend to shift from traditional communication tools (such as traditional web sites) to these social services. For example, 68 percent of U.S. adults get news on social media in 2018, while in 2012, only 49 percent reported seeing news on social media. Billions of messages, in many different formats, are appearing daily in these services such as Twitter, Instagram, Facebook, etc. The authors of these messages share content about any aspect of their life (public or private), exchanging opinions on a variety of topics and creating and discussing a wide range of events.

Companies like Facebook, Twitter and Instagram have unlocked new ways for people to connect, curate, and consume and also see the surrounding reality. Social Media have changed and continue to change how we interact with the web - how content is distributed, discovered, and delivered. They provide inexpensive communication medium that allows anyone to quickly reach and interact with many other users, modifying their point of view and even their interpretation of the facts. Consequently, in these platforms anyone can publish content and anyone interested in the content can obtain it, representing a transformative revolution in our society. These aspects make social media services the most powerful sensor for any possible interpretation of reality, by also bringing into question the researchers in defining what reality means. The aim of this workshop is to ask researchers to enter such view, by studying how social media can be used in a real-time scenario to detect events and their interpretations.

In light of this, we stress the importance of recognizing this real-time sensor role of Social Media and propose a research venue to discuss about it. We encourage the submission from both academia and industry. We seek the participation of both industry and the public sector in the PC Contributions can be submitted as full, short and demo papers, referring to both mature applications and proof of concepts.

Topics:

Social Media Analytics Social Network Analysis
Topics and Trends Modeling
Topics and Trends Extraction
Data Mining on Social Media data
Social Media Ontology Learning
Big Data and Social Media
Social Media as Social Sensors
Network neutrality
Cultural Analysis of Social Media
Information Retrieval and Social Media
Natural Language Processing
Hate Speech Detection
Fake News Detection
User Interfaces
Visualization of Social Media data
Community Detection
Social Media applications
Privacy and Social Media