SIdEWayS - Social Media World Sensors

Description
Microblogging services (e.g., Twitter) represent freely-accessible  social networks allowing registered members to broadcast short posts referring to a potentially-unlimited range of topics, by also exploiting the immediateness of handy smart devices. This workshop wants to stress the vision of this powerful  communication channel as social sensor, which can be used to detect and characterize interesting and yet unreported information and events in real time, crossing all topics and locations. Future technologies on this connectivity may also provide applications with automatic techniques for the generation of news (filtered over user profiles), offering a sideways to the existing authoritative information media.
Nowadays, microblogging services have become the most popular communication system all over the world. In fact, due to the short format of messages and the accessibility of microblogging platforms, users tend to shift from traditional communication tools (such as blogs, web sites and mailing lists) to microblogging services. Billions of messages are appearing daily in these services such as Twitter, Tumblr, Facebook, etc. The authors of these messages share content about their private life, exchanging opinions on a variety of topics and discussing a wide range of information news.
Among all the existing platforms, after its launch on July 2006, Twitter became the most popular microblogging system; nowadays, its number of monthly active users is estimated to 288 million worldwide with around a half million of tweets every day, which makes Twitter one of the fastestgrowing web sites in the world. Moreover, in contrast with other popular social networks such as Facebook or Google+, most of its users are adults; in fact, according to a demographic report, the 88% of its users are older than 18, which makes the service likely oriented to information than other social aspects. This produces a continuous real-time information stream about all possible topics.
Even if Twitter cannot represent an alternative to the authoritative information media, considering the number of its users and the impressive response time of their contributions, it represents a sort of real-time news sensor that can also predate the best newspapers in informing the web community about the emerging topics and trends. In fact, the most important information media always need a certain amount of time to react to a news event; i.e. professional journalists require time, collaborators and/or technology support to provide a professional report. However, within Twitter, a user can easily report, in 140 characters, what is happening in front of the user’s eyes, without any concern about the readers or the writing style.
These aspects make microblogging services the most powerful sensor for events detection and automatic news generation. The aim of this workshop is to ask researchers to enter into such view, by studying how Twitter can be used in a real-time scenario to detect emerging events and enrich them with contextual information like categorization, named entities and relationships with other events and sources of information.
Potential submissions are expected to come from many researchers active in Information Systems and Technologies field, the social network analysis research community, including researchers from industry, media and TV broadcasting companies. The workshop will constitute a good opportunity for European researchers to brainstorm and discuss towards common efforts, in the context of the Horizon 2020 European funding program.

Topics of Interest
    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
    Cultural Analysis of Social Media
    Information Retrieval and Social Media
    Natural Language Processing
    User Interfaces 
    Visualization of Social Media data
    Community Detection
    Social Media applications
    Privacy and Social Media

Organizing Commitee
Mario Cataldi – Université Paris 8, France
Luigi Di Caro – Department of Computer Science – University of Turin, Italy
Claudio Schifanella – RAI – Centre for Research and Technological Innovation, Italy

Provisional Program Committee (to be confirmed)
Mario Cataldi – University of Paris 8
Luigi Di Caro – University of Turin
Claudio Schifanella – Centre for Research and Technological Innovation 
Luca Aiello – Yahoo! Research
Emre Kiciman, Microsoft Research
Yiannis Kompatsiaris, Information Technologies Institute of Thessaloniki
Emilio Ferrara, Indiana University
Rossano Schifanella – University of Turin
Luca Vignaroli – Centre for Research and Technological Innovation
Myriam Lamolle – University of Paris 8
Marie-Aude Aufare  – Ecole Centrale Paris 
Francesco Bonchi – Yahoo Research Labs
Dino Ienco – IRSTEA, Montpellier
Rosa Meo – University of Turin
Alberto Messina - Centre for Research and Technological Innovation
Andrea Ballatore - Santa Barbara University
Emmanuel Viennet- University Paris 13
Aldo Gangemi - University Paris 13
Mathieu d'aquin - Knowledge and Media Institute of Open University
Patrick Paroubek - LIMSI
Sidahmed Benabderrahmane - University of Paris 8

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