BibTeX

@book{borin-etal-2024-vaccine-341185,
	title        = {Vaccine Hesitancy in the Nordic Countries: Trust and Distrust During the COVID-19 Pandemic},
	abstract     = {Bringing together studies from across the Nordic region, this book examines the challenges brought by the COVID-19 pandemic, with a particular focus on vaccine hesitancy. Shedding light on the political tensions that emerged as a result of the pandemic and the debates that ensued both within and between the Nordic nations, it investigates the vociferous discussions surrounding the COVID-19 vaccines and their presumed negative side effects through the lens of trust; trust in and between the neighbouring countries, in healthcare systems, fellow citizens, and experts; in public authorities, politicians, researchers, journalists, and pharmaceutical companies. The first volume to explore vaccine hesitancy in the Scandinavian context, this ground-breaking volume offers fresh perspectives on vaccine scepticism not as a form of ignorance or lack of knowledge, but as a manifestation of a more fundamental lack of faith in modern government and science. As such, it will appeal to scholars of sociology, politics, anthropology, media studies, communication and cultural studies with interests in public health, popular and political discourse and questions of public trust. },
	author       = {Borin, Lars and Hammarlin, Mia Marie and Kokkinakis, Dimitrios and Miegel, Fredrik},
	year         = {2024},
	publisher    = {Taylor and Francis},
	ISBN         = {9781040011614},
}

@inProceedings{belmonte-etal-2024-automatic-336253,
	title        = {Automatic Detection of Rhythmic Features in Pathological Speech of MCI and Dementia Patients
},
	abstract     = {The presence of linguistic alterations represents one of the prodromal signs of cognitive decline associated with dementia. In recent years, a growing body of work has been devoted to the development of algorithms for the automatic linguistic analysis of both oral and written texts, with diagnostic purposes. The extraction of Digital Linguistic Biomarkers from patients'
verbal productions can indeed provide a rapid, ecological, and cost-effective system for large-scale screening of the pathology. This article contributes to the ongoing research in the field by exploring a traditionally less studied aspect of language in dementia, namely the rhythmic characteristics of speech. In particular, the paper focuses on the automatic detection of rhythmic features in Italian connected speech. A landmark-based system was developed and evaluated to segment the speech flow into vocalic and consonantal intervals and to calculate several rhythmic metrics. Additionally, the reliability of these metrics in identifying MCI and dementia patients was tested.},
	booktitle    = {RaPID-5: Resources and ProcessIng of linguistic, para-linguistic and extra-linguistic Data from people with various  forms of cognitive/psychiatric/developmental impairments},
	author       = {Belmonte, Marica and Gagliardi, Gloria and Kokkinakis, Dimitrios and Tamburini, Fabio},
	year         = {2024},
	publisher    = {European Language Resources Association (ELRA)},
	ISBN         = {978-2-493814-11-1},
}

@inProceedings{kokkinakis-hammarlin-2024-cluster-338476,
	title        = {Cluster-Based BERTopic Modeling on Swedish COVID-19 Vaccine Posts},
	abstract     = {This paper explores the prevalent themes across multiple threads on the popular Swedish discussion forum Flashback. Among its diverse array of topics, the forum actively engages users in addressing and debating questions pertaining to COVID-19 vaccines and vaccination. Through distinguishing between positive and negative perspectives within posts across 14 relevant thread discussions, we employ BERTopic, a modular topic modeling framework, which utilizes pre-trained language models and applies clustering techniques to identify prevailing topics. This enables us to conduct a nuanced exploration of overarching themes, offering valuable insights into the multifaceted nature of the discussions regarding COVID-19 vaccines and vaccination in Sweden.},
	booktitle    = {The 34th Medical Informatics Europe Conference},
	author       = {Kokkinakis, Dimitrios and Hammarlin, Mia-Marie},
	year         = {2024},
	publisher    = {IOS Press},
	address      = {Amsterdam • Washington, DC},
}

@inProceedings{kokkinakis-2024-from-336089,
	title        = {From Zipf distribution to Universal Dependencies - Interactive Notebooks for Swedish Text Analysis 
},
	abstract     = {Notebook-based  environments  are  powerful  (web-based)  interactive  development  resources  for  conducting exploratory (textual) data analysis (EDA). These environments allow the embedding of code  (code  snippets  in  ‛code  cells’)  which  can  be  easily  executed  with  the  results  immediately  presented  into  the  user’s  window.  This  paper  introduces  some  basic  exploratory  tools  and  techniques using JupyterLab notebooks, applied to Swedish using a subcorpus that address various topics related to the COVID-19 pandemic published during January-December 2021},
	booktitle    = {Proceedings of the Huminfra Conference (HiC 2024), 10-11 January, 2024, Gothenburg, Sweden},
	author       = {Kokkinakis, Dimitrios},
	year         = {2024},
	publisher    = {Linköping University Electronic Press},
	address      = {Linköping },
	ISBN         = {978-91-8075-512-2},
}

@misc{volodina-etal-2024-proceedings-335190,
	title        = {Proceedings of the Huminfra Conference (HiC 2024), 10-11 January, 2024, Gothenburg, Sweden},
	author       = {Volodina, Elena and Bouma, Gerlof and Forsberg, Markus and Kokkinakis, Dimitrios and Alfter, David and Fridlund, Mats and Horn, Christian and Ahrenberg, Lars and Blåder, Anna},
	year         = {2024},
	publisher    = {Linköping University Electronic Press},
	address      = {Linköping},
	ISBN         = {978-91-8075-512-2},
}