会议信息

MISDOOM 2023: Multidisciplinary International Symposium on Disinformation in Open Online Media

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截稿日期:
2023-06-30
通知日期:
2023-08-28
会议日期:
2023-11-21
会议地点:
Amsterdam, The Netherlands
届数:
5
浏览: 8261   关注: 0   参加: 0
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会伴指数 (CP-I)

41.7 / 100
全站第 4,643 名 / 共 5,697 个会议 · 前 82%
学术认可 (35%) 无数据 —— 按中性基准 50 分计入 —
投稿选择性 (20%) 无数据 —— 按中性基准 50 分计入 —
会议传承 (20%)
48
社区关注 (10%)
8
资料公开度 (15%)
25

用到的输入: 有据可查的届次：5 · 过去 24 个月打开过本页的研究者：2 人

公开资料里还缺: 历年录用率 (+4.5) · 历届信息 (+3.0) · 最佳论文记录 (+2.3)
主办方认领本会议后，可直接在这一页补上；分数每晚重算。如何提升这个分数

置信度 45% —— 分数中有多大比例来自实际观测到的数据，而不是中性基准。 这个分数是怎么算出来的 · 查看完整榜单 · 算法版本 1.1 · 算于 2026-10-12

征稿

MISDOOM 2023 (Multidisciplinary International Symposium on Disinformation in Open Online Media) is an academic conference held in Amsterdam, The Netherlands on 2023-11-21. The paper submission deadline is 2023-06-30. Acceptance notifications are sent on 2023-08-28.

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)
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