BibTeX

@incollection{hammarlin-etal-2024-fearing-336154,
	title        = {Fearing mRNA - A mixed methods study of vaccine rumours
},
	abstract     = {There are well-spread ideas among vaccine-critical individuals around the
world that “new” vaccines might be more dangerous to health than other, “traditional” vaccines, which can lead to vaccine hesitancy; the “delay in acceptance or refusal of vaccination despite availability of vaccination services”. For example, a recurring
remark made in social media is that mRNA technology resembles a chip that
alters the human DNA, which might permanently and irreparably damage the
immune system. These ideas sometimes take the shape of rumours and conspiracy theories. Drawing on rumour theories and social cognitive perspectives, the aim of this chapter is to account
for the purpose and the spreading of medical rumours that encircle mRNA
COVID-19 vaccines. Our research questions are: How are rumours concerning
mRNA expressed and established? In terms of trust and distrust, what function do the rumours have?},
	booktitle    = {Vaccine Hesitancy in the Nordic Countries - Trust and Distrust During the COVID-19 Pandemic / edited By Lars Borin, Mia-Marie Hammarlin, Dimitrios Kokkinakis, Fredrik Miegel},
	author       = {Hammarlin, Mia-Marie and Kokkinakis, Dimitrios and Miegel, Fredrik and Stoencheva, Jullietta},
	year         = {2024},
	publisher    = {Routledge - Taylor & Francis Group},
	address      = {New York},
	ISBN         = {978-1-032-30599-8},
	pages        = {157--184},
}

@inProceedings{kokkinakis-etal-2024-analyzing-342781,
	title        = {Analyzing Segregation Discourse in Sweden: Technological Methods and Empirical Data
},
	abstract     = {This paper outlines some of the empirical resources and language technology tools to be used in the project “Language(s) of segregation: Interdisciplinary perspectives on spatial, social, and symbolic division in cities.” The aim of this project is to examine the construction of segregation discourse in Sweden, its implementation as urban policy, and its impact and experience in everyday life. By integrating perspectives from linguistics, public administration, and urban ethnography, this study analyzes various forms of segregation — such as educational and residential — using large corpora to identify patterns and address related disparities. Key resources include political discourse, social media, and press coverage, while language technology tools like word vectors, network and sentiment analysis, and topic modeling will be employed. Preliminary findings provide early insights into the complex dynamics of segregation across different contexts.},
	booktitle    = {Tenth Swedish Language Technology Conference (SLTC)},
	author       = {Kokkinakis, Dimitrios and Wojahn, Daniel and Järlehed, Johan},
	year         = {2024},
}

@incollection{borin-etal-2024-introduction-343467,
	title        = {Introduction: Vaccine Hesitancy and the COVID-19 Crisis in the Nordic Countries},
	abstract     = {Already in 2019, WHO singled out the increase of vaccine hesitancy as one of the ten most important and urgent threats to global health. Little did people know then of the heated vaccine discussions waiting around the corner, spurred by the COVID-19 pandemic that set some countries on something reminiscent of a war footing. The mass vaccinations against the coronavirus in the early 2020s were seen by many as a blessing that promised a return to normalcy after lockdowns and other social restrictions. But some citizens actively resisted vaccination, claiming that the vaccines were not safe and questioning the public authorities’ trustworthiness. At the same time, the Nordic region is regarded as a world leader when it comes to societal trust. This tension between the high-trust Nordic societies and the distrust in the COVID-19 vaccines among a minority is in focus in this volume. It also gives insights into the political tensions between these neighbouring nations, and the public discourses taking place in the region during intense phases of the pandemic. The book explores three interrelated research themes: Nordic societal trust under stress; COVID-19 in Nordic public discourses; and the growing chorus on the margin.},
	booktitle    = {Vaccine Hesitancy in the Nordic Countries: Trust and Distrust during the COVID-19 Pandemic},
	author       = {Borin, Lars and Hammarlin, Mia Marie and Kokkinakis, Dimitrios and Miegel, Fredrik},
	year         = {2024},
	ISBN         = {9781040011614},
	pages        = {1--17},
}

@inProceedings{albertin-kokkinakis-2024-defining-342782,
	title        = {Defining Cohesion Features in the Study of Discourse Properties in Cognitive Impairment
},
	abstract     = {The analysis of discourse and pragmatics, which deteriorate alongside other linguistic levels in cognitive decline, can enhance our understanding of dementia-related language patterns and contribute to the improvement of automated diagnostic tools. This study focuses on discourse cohesion, specifically investigating three linguistic phenomena: reference, lexical repetition, and connectives. Six features related to these categories were defined and automatically extracted from an Italian corpus of semi-spontaneous speech, collected from patients with early dementia, MCI subjects, and healthy controls. Some of these features proved significant in distinguishing among the three groups. Additional quantitative analysis revealed notable differences in the use of these elements, suggesting a potential link between their degradation and cognitive decline.},
	booktitle    = {Tenth Swedish Language Technology Conference (SLTC)},
	author       = {Albertin, Giorgia and Kokkinakis, Dimitrios},
	year         = {2024},
	pages        = {4},
}

@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},
}

@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},
}

@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},
}