International Workshop on Artificial Intelligence for a Secure Society (AISS) @ The 16th International Conference on Advances in Social Networks Analysis and Mining 2024 (ASONAM) - CALL FOR PAPERS

2-5 September 2024, Rende (CS), Calabria, Italy
Web: https://sites.google.com/view/aiss-workshop-2024/home
Submission: https://easychair.org/conferences/?conf=aiss24

Highlights:
- Deadline: June 10, 2024 (11:59PM AoE)
- The workshop will be held between September 2-5, 2024 in Rende (CS), Italy

Abstract:
The pervasive influence of social media platforms has undeniably transformed the landscape of contemporary discourse. While these platforms facilitate open discussions on diverse topics, they simultaneously present significant challenges associated with misinformation and the manipulation of public opinion. With the advent of advanced AI and LLMs, the dissemination of misinformation has become increasingly sophisticated, threatening the integrity of online discourse and eroding trust in institutions and among communities. It is crucial for policymakers, academics, and industry leaders to collectively address these issues. The "Artificial Intelligence for a Secure Society" workshop aims to bring together experts from various domains and to address these challenges by exploring the role of AI in identifying, characterizing, mitigating, and combating a wide range of issues related to information disorder, misinformation, disinformation, fake news, coordinated online behavior, and information operations.

Topics covered will include:

- Detection and analysis of coordinated online behaviors, fake news, conspiracy
- Information diffusion models for understanding and thwarting the spread of low-quality information
- Automatic techniques for the detection of propaganda, fake news, hoaxes, and rumors
- Understanding and detection of information operations
- Novel techniques for detecting malicious accounts (e.g., bots and trolls)
- Graph mining and network analysis approaches for studying polarized communities and for reducing polarization
- Metrics and methods for measuring the impact of information disorder
- Detection of deepfake text, image, and video manipulation
- Case-studies and Real-World Applications on misinformation spread and impact in controversial topics (e.g., politics, health, climate change, economics, migration)

Submissions

Authors are invited to submit original research papers which have not been published elsewhere and which are not currently under consideration for another journal, conference, or workshop. Types of submissions:
- Full papers (max 8 pages)
- Short papers (max 5 pages)
- Extended Abstract/Posters (max 2 pages)
 

Submissions must be made through the conference system prior to the specified deadline (all deadlines refer to 11:59 PM AoE).

To submit a paper, please use the following web portal: https://sites.google.com/view/aiss-workshop-2024/home
 

For additional details, please refer to the ASONAM 2024 website.

IMPORTANT DATES:
- Paper submission deadline: June 10th, 2024
- Notification to authors: July 10th, 2024
- Camera-Ready submission: July 18th, 2024
- Conference date: September 2-5, 2024
All times are at 11:59PM AoE

Organization
- Serena Tardelli - CNR-IIT, Pisa, Italy
- Anastasia Giachanou - Utrecht University, Netherlands
- Carmela Comito - CNR-ICAR, Rende, Italy
- Maurizio Tesconi - CNR-IIT, Pisa, Italy

The workshop on "Artificial Intelligence for a Secure Society" was organised as part of the SoBigData.it project (Prot. IR0000013 – Call n. 3264 of 12/28/2021) initiatives aimed at training new users and communities in the usage of the research infrastructure (SoBigData.eu). SoBigData.it receives funding from European Union – NextGenerationEU – National Recovery and Resilience Plan (Piano Nazionale di Ripresa e Resilienza, PNRR) – Project: “SoBigData.it – Strengthening the Italian RI for Social Mining and Big Data Analytics” – Prot. IR0000013 – Avviso n. 3264 del 28/12/2021.” The event is also supported by the project SERICS (PE00000014) under the NRRP MUR program funded by the EU - NGEU.