skip to main content
10.1145/3472720acmconferencesBook PagePublication PageshtConference Proceedingsconference-collections
OASIS '21: Proceedings of the 2021 Workshop on Open Challenges in Online Social Networks
ACM2021 Proceeding
Publisher:
  • Association for Computing Machinery
  • New York
  • NY
  • United States
Conference:
HT '21: 32nd ACM Conference on Hypertext and Social Media Virtual Event Ireland 30 August 2021
ISBN:
978-1-4503-8632-6
Published:
28 October 2021
Sponsors:
Recommend ACM DL
ALREADY A SUBSCRIBER?SIGN IN

Reflects downloads up to 20 Jan 2025Bibliometrics
Skip Abstract Section
Abstract

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.

Skip Table Of Content Section
SESSION: Session 1: Graph Theory in OnlineSocial Media
research-article
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 ...

research-article
Random-Walk Graph Embeddings and the Influence of Edge Weighting Strategies in Community Detection Tasks

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 ...

research-article
Topic Modeling by Community Detection Algorithms

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 ...

SESSION: Session 2: Datasets and Classification in Online Social Media
short-paper
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 ...

research-article
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 ...

research-article
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 ...

Contributors
  • University of Pisa
  • University of Pisa
  • University of Pisa

Recommendations