The International Workshop on Mining Online Social Streams (MOSS 2020)
In Conjunction With
The 11th International Conference on Emerging Ubiquitous Systems and Pervasive Networks (EUSPN 2020)
November 2-5, 2020, Madeira, Portugal
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Call for Workshop Papers
As a result of technological advancements, various aspects of social phenomena are witnessing transformative process at a faster pace. For instance, communication and interaction of people have witnessed a tremendous transformation, especially with the advent of Online Social Networks (OSNs). The online social media is one of the defining phenomena in this technology-driven era. With an estimated 2.46 billion connected users, the OSNs have been instrumental in globalisation and enable socio-technological research to understand modern society better. The quest to turn every aspect of humans' lives into computerised data for competitive value has been gaining momentum and the OSNs provide useful sources of commoditised data at scale. Because users can share information about virtually all aspects of their social life, the OSNs are ideal for studying various aspects of social events.
The International Workshop on Mining Online Social Streams (MOSS) main goal is to enable a platform that will allow experts and professionals to discuss the sophisticatedly evolving social media ecosystem with an emphasis on the following themes: identifying spurious content, clustering and community detection and computational sociometry. It is against this backdrop we would like to welcome submissions covering, but not limited to, the following key areas:
On spurious content
While the OSNs facilitate access to a large collection of diverse data, a substantial amount of it is contributed by spam or fake users. Without a proper data filtering mechanism, the growing dominance of spurious/irrelevant online content undermines the credibility of research based on analysing such data. This theme of the workshop is motivated by the need to identify and filter out spurious content in online social networks. We would like to welcome submissions in the following areas (but not limited to):
Fake news and conspiracy theories on social media
Detection of rumour, urban legend and hearsay
Propagation and detection of online smear campaigns
Methods for distinguishing spam vs. non-spam social media posts
Detection of social bots and the use of bots to influence public opinions
Distinguishing between real-world and non-real world events
Automated generation of deceitful content
Misinformation and disinformation on social media
The workshop theme is aimed at identifying useful methods and precautionary measures to avoid compromising research outcomes by irrelevant or unrepresentative data.
On clustering and community detection
A complex network is considered as a composition of many sub-networks and one of the vital tasks is to identify the community structure or relevant clusters embedded in the network. The utility of a community structure in enabling effective analysis of complex networks makes it ideal to explore the network by identifying a set of nodes and corresponding relationships. We welcome submissions (but not limited to) in the following areas:
Methods of analysing complex networks
Detection of clusters in transitory networks
Bimodal approach to community detection in social networks
On computational sociometry
With the current data deluge, it will be worthwhile to analyse various forms of relationships and test relevant theories from a social science perspective. In the same vein, submissions are welcome in the following areas (but not limited to):
Identifying unethical behaviour online
Identifying weak and strong relationships online, e.g. casual acquaintances
Multiplexity of relationships and a structural hole in online social networks
Identifying threatening or abusive contents online
Further details can be found at the easychair and wikicfp pages
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