Conference Information
MISDOOM 2023: Multidisciplinary International Symposium on Disinformation in Open Online Media
https://event.cwi.nl/misdoom-2023/
Submission Date:
2023-06-30
Notification Date:
2023-08-28
Conference Date:
2023-11-21
Location:
Amsterdam, The Netherlands
Years:
5
Viewed: 2021   Tracked: 0   Attend: 0

Call For Papers
The Multidisciplinary International Symposium on Disinformation in Open Online Media (MISDOOM) is returning for its 5th edition on 21 and 22 November 2023. This time, the conference will be hosted by the National Research Center for Mathematics and Computer Science (CWI) at Amsterdam Science Park (Netherlands). MISDOOM values multidisciplinary research and is designed to be inclusive of different academic disciplines and practices.

The symposium provides a platform for researchers, industry professionals, and practitioners from various disciplines such as communication science, computer science, computational social science, political science, psychology, journalism, and media studies to come together and share their knowledge and insights on online disinformation.

Symposium Topics

Participants can discuss and contribute to the following list of topics:

    Cross-platform campaigns and their impact (e.g., diffusion of disinformation and manipulation, observations of campaigns and strategies, communication strategies, hate speech)
    Approaches to studying misinformation (e.g., qualitative approaches, case studies, quantitative approaches, experiments)
    User involvement with misinformation on various platforms (e.g., engagement, viewership)
    Counter-measures for mis- and disinformation and manipulation (e.g., censorship policies, behavioral changes, education, training, professional codices, legal actions)
    Factors contributing to misinformation beliefs or hampering corrections of false beliefs (e.g., political polarization, motivated reasoning, confirmation bias)
    Trending topics in mis- and disinformation research
    Automated fact-checking and misinformation detection
    Models for misinformation diffusion
    Human computation approaches for misinformation detection (crowdsourcing, human-machine interaction)
    Information quality (information quality dimensions, metrics, ethics of information quality)
    Generative AI tools and disinformation (e.g., ChatGPT, Midjourney, DALL-E) 
Last updated by Dou Sun in 2023-05-07
Related Conferences
CCFCOREQUALISShortFull NameSubmissionNotificationConference
MEMSSInternational Conference on Modern Education, Management and Social Science2022-03-28 2022-05-29
IoTMLInternational Conference on Internet of Things and Machine Learning2024-08-19 2024-08-23
IPCommPrinciples, Systems and Applications of IP Telecommunications2017-07-032017-07-312017-09-25
WAPLInternational Workshop on Advances in Programming Languages 2011-07-162011-09-18
IJCKGInternational Joint Conference on Knowledge Graphs2021-09-242021-11-082021-12-06
ccb3COLLABORATECOMInternational Conference on Collaborative Computing: Networking, Applications and Worksharing2024-07-312024-08-312024-11-16
b4Wireless DaysWireless Days Conference2019-01-042019-02-042019-04-24
CANDARInternational Symposium on Computing and Networking2024-08-092024-09-252024-11-26
b4CMCInternational Conference on Communications, Mobility, and Computing2020-11-212021-01-102012-05-21
ICEIEInternational Conference on Electronics and Information Engineering2014-10-282014-11-182015-09-26
Related Journals
CCFFull NameImpact FactorPublisherISSN
cIEEE Signal Processing Letters3.200IEEE1070-9908
RoboticsMDPI2218-6581
Applied Soft Computing7.200Elsevier1568-4946
International Journal of Computer Science, Engineering and Information Technology AIRCC2231-3605
Information Technology for Development5.100Taylor & Francis0268-1102
IET Circuits, Devices & Systems1.000IET1751-858X
International Journal of Computational Science and EngineeringInderscience1742-7185
Journal of Universal Computer ScienceVerlag der Technischen Universitat Graz0948-695x
International Journal of Robotics and AutomationACTA Press0826-8185
Mathematics2.300MDPI2227-7390
Recommendation