It is our great pleasure to welcome you to the 2021 Workshop on Open Challenges in Online Social Networks - OASIS 2021, held in conjunction with the 2021 ACM Conference on Hypertext and Social Media - ACM HT 2021. The diffusion of Online Social Networks (OSNs) has had a profound effect on the way we interact and a deep impact on society and business. OSNs have helped people to communicate, breaking down the geographical barriers that restricted communication. Through social networks, virtual communication, sharing of information, community participation is possible even among people in uncomfortable conditions. Today, OSNs are one of the main parts of daily life by affecting sociality, but they are also important channels through which information travels faster than ever. Analysis of OSN can help to foresee events to manage critical scenarios. The rapid growth in popularity has opened new challenging problems which involve numerous fields in computer science. These issues have implications on social graph analysis, trust and security, and so on. Moreover, privacy issues and the usage of mobile devices has opened new research fields in the design of decentralised online social networks, which can be considered one of the most important challenges. Furthermore, the current improvement concerning the study and the proposal of new approaches for Social Networks and Media involve not only complex network analysis, and, in particular, the decentralisation of social services, but also the introduction of new AI solutions.
Proceeding Downloads
Be Careful Who You Follow: The Impact of the Initial Set of Friends on COVID-19 Vaccine Tweets
Although Twitter is regarded as one of the most potent sources of vaccine-related disinformation, relatively little is known about how Twitter constructs timelines for individual users. In this work, we examine the composition of the Twitter timeline ...
Random-Walk Graph Embeddings and the Influence of Edge Weighting Strategies in Community Detection Tasks
- Andreas Kosmatopoulos,
- Kostas Loumponias,
- Despoina Chatzakou,
- Theodora Tsikrika,
- Stefanos Vrochidis,
- Ioannis Kompatsiaris
Graph embedding methods have been developed over recent years with the goal of mapping graph data structures into low dimensional vector spaces so that conventional machine learning tasks can be efficiently evaluated. In particular, random walk based ...
Topic Modeling by Community Detection Algorithms
- Giambattista Amati,
- Simone Angelini,
- Antonio Cruciani,
- Gianmarco Fusco,
- Giancarlo Gaudino,
- Daniele Pasquini,
- Paola Vocca
We first estimate the number of Italian users active on Twitter in the last year by filtering the Italian flow of Twitter. We show that our filter misses about the 6.86% of the Italian flow, while 86.80% of the selected tweets belongs to the Italian ...
WICO Text: A Labeled Dataset of Conspiracy Theory and 5G-Corona Misinformation Tweets
The COVID-19 pandemic has been accompanied by a flood of misinformation on social media, which has been labeled an "infodemic". While a large part of such fake news is ultimately inconsequential, some of it has the potential to real-world harm, but due ...
Opinions are Made to be Changed: Temporally Adaptive Stance Classification
Given the rapidly evolving nature of social media and people's views, word usage changes over time. Consequently, the performance of a classifier trained on old textual data can drop dramatically when tested on newer data. While research in stance ...
Automatic and Semi-automatic Augmentation of Migration Related Semantic Concepts for Visual Media Retrieval
Understanding the factors related to migration, such as perceptions about routes and target countries, is critical for border agencies and society altogether. A systematic analysis of communication and news channels, such as social media, can improve ...
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Investigating Homophily in Online Social Networks
WI-IAT '10: Proceedings of the 2010 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology - Volume 01Similarity breeds connections, the principle of homophily, has been well studied in existing sociology literature. %Several studies have observed this phenomena by conducting surveys on human subjects. These studies have concluded that new ties are ...
Online Bonding and Bridging Social Capital via Social Networking Sites
This research aimed to explore types of online social capital bridging and bonding that the Emiratis perceive in the context of social networking site SNS usage. A snow-ball sample of 230 Emiratis from two Emirates, Abu Dhabi and Dubai was used. The ...