Context is Key(NMF): Modelling Topical Information Dynamics in Chinese
  Diaspora Media
Does the People's Republic of China (PRC) interfere with European elections
through ethnic Chinese diaspora media? This question forms the basis of an
ongoing research project exploring how PRC narratives about European elections
are represented in Chinese diaspora media, and thus the objectives of PRC news
media manipulation. In order to study diaspora media efficiently and at scale,
it is necessary to use techniques derived from quantitative text analysis, such
as topic modelling. In this paper, we present a pipeline for studying
information dynamics in Chinese media. Firstly, we present KeyNMF, a new
approach to static and dynamic topic modelling using transformer-based
contextual embedding models. We provide benchmark evaluations to demonstrate
that our approach is competitive on a number of Chinese datasets and metrics.
Secondly, we integrate KeyNMF with existing methods for describing information
dynamics in complex systems. We apply this pipeline to data from five news
sites, focusing on the period of time leading up to the 2024 European
parliamentary elections. Our methods and results demonstrate the effectiveness
of KeyNMF for studying information dynamics in Chinese media and lay groundwork
for further work addressing the broader research questions.
671219417b8d16aeed706386
Ross Deans Kristensen-McLachlan
claimed_verified
2024-10-21T12:27:23.866Z
62b5cade593a2c49da706c8c
https://cdn-avatars.huggingface.co/v1/production/uploads/62b5cade593a2c49da706c8c/xSfvuAtTocNyWSWWyx1tj.jpeg
Ross Kristensen-McLachlan
user
rdkm89
671219417b8d16aeed706387
Rebecca M. M. Hicke
admin_assigned
2024-10-21T12:25:50.898Z
6580701a1fb6cfa0b46c61ac
/avatars/359b9aa336eed1504ee57969fbe3ec52.svg
Rebecca M. M. Hicke
user
rmmhicke
671219417b8d16aeed706388
Márton Kardos
claimed_verified
2024-10-21T07:48:09.117Z
62696cd3d1ac0cde59280dcf
https://cdn-avatars.huggingface.co/v1/production/uploads/1656940964610-62696cd3d1ac0cde59280dcf.jpeg
Márton Kardos
user
kardosdrur
671219417b8d16aeed706389
Mette Thunø
Context is Key(NMF): Modelling Topical Information Dynamics in Chinese
  Diaspora Media
Does the People's Republic of China (PRC) interfere with European elections
through ethnic Chinese diaspora media? This question forms the basis of an
ongoing research project exploring how PRC narratives about European elections
are represented in Chinese diaspora media, and thus the objectives of PRC news
media manipulation. In order to study diaspora media efficiently and at scale,
it is necessary to use techniques derived from quantitative text analysis, such
as topic modelling. In this paper, we present a pipeline for studying
information dynamics in Chinese media. Firstly, we present KeyNMF, a new
approach to static and dynamic topic modelling using transformer-based
contextual embedding models. We provide benchmark evaluations to demonstrate
that our approach is competitive on a number of Chinese datasets and metrics.
Secondly, we integrate KeyNMF with existing methods for describing information
dynamics in complex systems. We apply this pipeline to data from five news
sites, focusing on the period of time leading up to the 2024 European
parliamentary elections. Our methods and results demonstrate the effectiveness
of KeyNMF for studying information dynamics in Chinese media and lay groundwork
for further work addressing the broader research questions.
KeyNMF, a new approach to topic modeling using transformer-based embeddings, is introduced and evaluated for studying information dynamics in Chinese media, specifically in the context of PRC narratives related to European elections.
KeyNMF topic modelling transformer-based contextual embedding models information dynamics benchmark evaluations European parliamentary elections