The research utilizes a corpus comprising both disinformation and standard news media texts to identify distinctive features of fake news at the lexical, syntactic, and morphological levels. The aim is to share current findings, showcase methodology, and foster scholarly discussion on the direction of future work.
Time
Speaker(s)
Topic
14:00–14:30
Miroslav Kubát
Introduction to the Project
14:30–15:00
Michaela Nogolová
Data: Sources and Corpus Construction
15:00–15:45
Michal Místecký
Morphological Analysis
15:45–16:30
Xinying Chen
Syntactic Features of Fake News
16:30–17:15
Michal Místecký and Michaela Nogolová
Lexical Characteristics
17:15–18:00
Break
18:00–21:00
Group Discussion
This workshop was supported by Operational Program Jan Ámos Komenský project ‘Biography of Fake News with a Touch of AI: Dangerous Phenomenon through the Prism of Modern Human Sciences’ (reg. CZ.02.01.01/00/23_025/0008724)
Spolufinancováno Evropskou unií
Program on Thursday (August 21)
Time
Speaker(s)
Topic
08:30–09:00
Yaqin Wang and Emmerich Kelih
Modelling of rank frequency distribution of core vocabulary in different semantic fields: Preliminary results from Slovene with special attention to loanwords
09:00–09:30
Bingli Liu and Yiyi Zhao
A Quantitative Study of Subject-predicate-Object Word Class Composition in vernacular Chinese Based on Dependency Grammar
09:30–10:00
Ján Mačutek, Radek Čech, Michaela Koščová
On the relation between word length and phoneme sonority
10:00–10:30
Jiří Milička
The Memetic Spread of AI Personas: A Case Study of Bing Sydney
10:30–11:00
Jianwei Yan
A Power-Law Analysis of Word Length and Frequency in Classical, Modern, and AI Chinese
11:00–11:30
Xinying Chen
Cross-Linguistic Evidence for Continuous Semantic Representation in Contextual Embeddings
11:30–12:00
Michaela Nogolová
From Simplification to Authenticity: Syntactic Complexity in Czech Adapted Texts
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