It is our great pleasure to welcome you to the 2019 ACM Workshop on Social Media World Sensors - SIdEWays 2019, which is held in conjunction with the 30th ACM conference on Hypertext and Social Media - HT 2019 in Hof, September 17th.
This fifth edition of the workshop aims at bringing together academics and practitioners from different areas to promote the vision of social media as social sensors. Nowadays, social platforms have become the most popular communication system all over the world. In fact, due to the short format of messages and the accessibility of these systems, users tend to shift from traditional communication tools (such as blogs, web sites and mailing lists) to social network for various purposes. 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.
Even if these system cannot represent an alternative to the authoritative information media, considering the number of its users and the impressive response time of their contributions, they represent 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, a user can easily report, in few characters, what is happening in front of the user's eyes, without any concern about the readers or the writing style. These aspects make social services the most powerful sensor for events detection and automatic news generation. The aim of this workshop was to ask researchers to enter into such view, by studying how social platforms can be used in some real-time scenario to detect emerging events and enrich them with contextual information.
Proceeding Downloads
Addressing Information Overload through Text Mining across News and Social Media Streams
The state-of-the-art in topic detection and tracking, structured summarization and news recommendation has moved to alternative document representations beyond keywords, in an attempt to utilize the available metadata in the form of timestamps, entities,...
Human Behaviour on the Web: Evolution, Interactions and Exploitation
The Web has a fundamental impact on our life, and its usage is quite dynamic and heterogeneous. Moreover, the Web, and in particular Online Social Networks allow people to communicate directly with the public, bypassing filters of traditional medias. ...
Media Bias Characterization in Brazilian Presidential Elections
News media bias is commonly associated with framing information so as to influence readers judgments. It is not rare to find different news outlets reporting the same events under different perspectives with the intention to deliberately influence the ...
A Comparative Temporal Analysis of User-Content-Interaction in Social Media
How long does content published via online social networks and media receive attention? We derive a novel definition of content lifetime from the temporal distribution of user-content interactions and apply it to a comparative study of multiple ...
Towards Democratizing Social Media Data Analysis and Visualization Using SoMDA
Currently, access to social media is part of the daily lives of most people in the world, continuously generating a huge volume of data. In this context, social media offers the opportunity to obtain information and knowledge discovery, being able to ...
Capturing Signals of Enthusiasm and Support Towards Social Issues from Twitter
Social media enables organizations to learn what users say about their products online, and to engage with their potential audiences. Social media has also been allowing individual users and the public to signal their enthusiasm, support, or lack ...
Index Terms
- Proceedings of the 5th International Workshop on Social Media World Sensors
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Acceptance Rates
Year | Submitted | Accepted | Rate |
---|---|---|---|
SIdEWayS'19 | 7 | 3 | 43% |
SIdEWayS '15 | 6 | 3 | 50% |
Overall | 13 | 6 | 46% |