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  • image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
    Authors: Mineur, Mattias;

    A lot of interaction between humans take place on social media. Groups and communities are sometimes formed both with and without intention. These interactions generate a large quantity of text data. This project aims to detect dissimilarity in discourse between communities on social media using a distributed approach. A data set of tweets was used to test and evaluate the method. Tweets produced from two communities were extracted from the data set. Two Natural Language Processing techniques were used to vectorise the tweets for each community. Namely LIWC, dictionary based on knowledge acquired from professionals in linguistics and psychology, and BERT, an embedding model which uses machine learning to present words and sentences as a vector of decimal numbers. These vectors were then used as representations of the text to measure the similarity of discourse between the communities. Both distance and similarity were measured. It was concluded that none of the combinations of measure or vectorisation method that was tried could detect a dissimilarity in discourse on social media for the sample data set. 

    image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/ Digitala Vetenskapli...arrow_drop_down
    image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
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      image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/ Digitala Vetenskapli...arrow_drop_down
      image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
  • image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
    Authors: Svensson, Sabine;

    Målet med denna uppsats är tillsammans med de fyra inkluderade fall studierna, undersöka den sociala media plattformen, Instagrams strikta riktlinjer när det kommer till att visa nakenhet. På plattformen förekommer det en viss dubbelmoral, konstnärer samt konstinstitutioner blir censurerade, det vill säga, de får bilder borttagna eller deras konton blockerade när de försöker visa verk som har nakenhet avbildat, men samtidigt existerar det nakenhet på plattformen, denna uppsats vill framhäva den dubbelmoral genom att ge exempel på att bilder från kända personers konton, som visar lika mycket nakenhet som ett konstverk, om inte mer, får vara tillgängligt på den sociala plattformen. Denna uppsats vill då även framhäva att varför det är på detta sätt är för i grunden är det ett samhällsproblem, det är strukturer och normer som existerar runt omkring oss som är de bidragande faktorerna. Hur vi ser den ideala kroppen samt skönhet och hur den manliga blicken är den blicken som är just den dominanta blicken. En annan faktor som denna uppsats kommer analysera är skillnaden på konst och pornografi, och hur det påverkar censuren bland ett antal konstnärer. Med stöd av intervjuer och de teoretiska ramverken kommer denna uppsats undersöka Instagram som en modern plats för att visa konst, samtidigt som plattformen är till mesta del dubbelmoralisk och bias. Dessutom kommer denna uppsats att framhäva att i spelet om nakenhet har kända personer andra och enklare spelregler, jämfört med konstnärer, de blir i stället utdelade de stränga spelreglerna. The aim for this essay is, along with the four included case studies, is to examine the social media platform, Instagram's strict guidelines when it comes to showing nudity. On the platform there is a certain double standard, artists as well as art institutions are censored, that is, they get pictures removed or their accounts blocked when they try to show works that have nudity depicted, but at the same time nudity exists on the platform, this essay wants to highlight the double standard by setting the example that images from accounts of celebrities, which show as much nudity as a work of art, if not more, are allowed to be available on the social platform. This essay then also wants to emphasize that why it is this way is because fundamentally it is a social problem, it is the structures and norms that exist around us that are the contributing factors. How we see the ideal body and beauty and how the male gaze is the gaze that is precisely the dominant gaze. Another factor that this essay will analyse is the difference between art and pornography, and how it affects censorship among a number of artists. With the support of interviews and the theoretical frameworks, this essay will examine Instagram as a modern place to display art, while the platform is mostly double standards and bias. In addition, this essay will highlight that in the game of nudity celebrities have different and easier rules of the game, compared to artists, they are instead dealt with the strict rules of the game.

    image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/ Digitala Vetenskapli...arrow_drop_down
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    Authors: Nordlander, Sara;

    This essay describes the artistic project Skolbrandsarkeologi (school fire archeology) and operates within the field of contemporary archaeology. The essay presents three examples of when contemporary archaeology has played a role in, or contributed to, the healing of individuals or of relatives to people who have experienced traumatic events. These examples are then discussed in relation to the artistic project Skolbrandsarkeologi. The essay also explores the role that physical objects can play for memories and the various ethical challenges that the discipline of contemporary archeology may face. The results indicate that contemporary archaeology, both on its own and in collaborations with other disciplines, can have a positive therapeutic impact on the memories and experiences of traumatic events.

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    Authors: Kaelin, Vera C.; Valizadeh, Mina; Salgado, Zurisadai; Sim, Julia G.; +4 Authors

    Background: There is increased interest in using artificial intelligence (AI) to provide participation-focused pediatric re/habilitation. Existing reviews on the use of AI in participation-focused pediatric re/habilitation focus on interventions and do not screen articles based on their definition of participation. AI-based assessments may help reduce provider burden and can support operationalization of the construct under investigation. To extend knowledge of the landscape on AI use in participation-focused pediatric re/habilitation, a scoping review on AI-based participation-focused assessments is needed. Objective: To understand how the construct of participation is captured and operationalized in pediatric re/habilitation using AI. Methods: We conducted a scoping review of literature published in Pubmed, PsycInfo, ERIC, CINAHL, IEEE Xplore, ACM Digital Library, ProQuest Dissertation and Theses, ACL Anthology, AAAI Digital Library, and Google Scholar. Documents were screened by 2–3 independent researchers following a systematic procedure and using the following inclusion criteria: (1) focuses on capturing participation using AI; (2) includes data on children and/or youth with a congenital or acquired disability; and (3) published in English. Data from included studies were extracted [e.g., demographics, type(s) of AI used], summarized, and sorted into categories of participation-related constructs. Results: Twenty one out of 3,406 documents were included. Included assessment approaches mainly captured participation through annotated observations (n = 20; 95%), were administered in person (n = 17; 81%), and applied machine learning (n = 20; 95%) and computer vision (n = 13; 62%). None integrated the child or youth perspective and only one included the caregiver perspective. All assessment approaches captured behavioral involvement, and none captured emotional or cognitive involvement or attendance. Additionally, 24% (n = 5) of the assessment approaches captured participation-related constructs like activity competencies and 57% (n = 12) captured aspects not included in contemporary frameworks of participation. Conclusions: Main gaps for future research include lack of: (1) research reporting on common demographic factors and including samples representing the population of children and youth with a congenital or acquired disability; (2) AI-based participation assessment approaches integrating the child or youth perspective; (3) remotely administered AI-based assessment approaches capturing both child or youth attendance and involvement; and (4) AI-based assessment approaches aligning with contemporary definitions of participation.

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      image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/ Digitala Vetenskapli...arrow_drop_down
      image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
  • image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
    Authors: Österberg, Adam;

    Labeling is the process of giving a set of data a descriptive name. This thesis dealt with documents with no additional information and aimed at clustering them using topic modeling and labeling them using Wikipedia as a second source. Labeling documents is a new field with many potential solutions. This thesis examined one method in a practical setting. Unstructured data was preprocessed and clustered using a topic model. Frequent words from each cluster were used to generate a search query sent to Wikipedia, where titles and categories from the most relevant pages were stored as candidate labels. Each candidate label was evaluated based on the frequency of common cluster words among the candidate labels. The frequency was weighted proportional to the relevance of the original Wikipedia article. The relevance was based on the order of appearance in the search results. The five labels with the highest scores were chosen to describe the cluster. The clustered documents consisted of exam questions that students use to practice before a course exam. Each question in the cluster was scored by someone experienced in the relevant topic by evaluating if one of the five labels correctly described the content. The method proved unreliable, with only one course receiving labels considered descriptive for most of its questions. A significant problem was the closely related data with all documents belonging to one overarching category instead of a dataset containing independent topics. However, for one dataset, 80 % of the documents received a descriptive label, indicating that labeling using secondary sources has potential, but needs to be investigated further.  Märkning handlar om att ge okända data en beskrivning. I denna uppsats behandlas data i form av dokument som utan ytterligare information klustras med temamodellering samt märks med hjälp av Wikipedia som en sekundär källa. Märkning av dokument är ett nytt forskningsområde med flera tänkbara vägar framåt. I denna uppsats undersöks en möjlig metod i en praktisk miljö. Dokumenten förbehandlas och grupperas i kluster med hjälp av en temamodell. Vanliga ord från varje kluster används sedan för att generera en sökfråga som skickas till Wikipedia där titlar och kategorier från de mest relevanta sidorna lagras som kandidater. Varje kandidat utvärderas sedan baserat på frekvensen av kandidatordet bland titlarna i klustret och relevansen av den ursprungliga Wikipedia-artikeln. Relevansen av artiklarna baserades på i vilken ordning de dök upp i sökresultatet. De fem märkningarna med högst poäng valdes ut för att beskriva klustret. De klustrade dokumenten bestod av tentamensfrågor som studenter använder sig av för att träna inför ett prov. Varje fråga i klustret utvärderades av någon med erfarenhet av det i frågan behandlade ämnet. Utvärderingen baserades på om någon av de fem märkningarna ansågs beskriva innehållet. Metoden visade sig vara opålitlig med endast en kurs som erhöll märkningar som ansågs beskrivande för majoriteten av dess frågor. Ett stort problem var att data var nära relaterad med alla dokument tillhörande en övergripande kategori i stället för oberoende ämnen. För en datamängd fick dock 80 % av dokumenten en beskrivande etikett. Detta visar att märkning med hjälp av sekundära källor har potential, men behöver undersökas ytterligare.

    image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/ Digitala Vetenskapli...arrow_drop_down
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    Authors: Sörlin, Sverker;

    Part of book: ISBN 978-1-009-10023-6QC 20221219

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    Authors: Melki, Andre;
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    Authors: Mogren, Ida;

    This essay examines the body in post-cyberfeminist art to study possible changes in how the body is perceived in the shift from cyberfeminist to post-cyberfeminist art. I have studied the body by examining power and identity in four cases of post-cyberfeminist art, using postmodern feminist theories and concepts such as gender, gender performativity, heterosexual matrix and intersectionality. The essay consists of image, moving image and textual analysis and two shorter comparative analyses. In the first comparative analysis, I have compared the four cases of post-cyberfeminist art with each other. In the second analysis, I focus on a comparative analysis between the four cases of post-cyberfeminist art and earlier cyberfeminist projects. In the discussion, I present my results and elaborate on a possible shift in how the body's materiality is viewed within digital landscapes of post-cyberfeminist art. I argue that the cyborg, central to the earlier cyberfeminist project, might have been replaced by transformable avatars.

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    Authors: Berggren, Lovisa;

    This study investigates the use of emojis in sentiment analysis for the Swedish language, with the objective to assess if emojis improve the performance of the model. Sentiment analysis is an NLP classification task aimed at extracting people's opinions, sentiments, and attitudes from language. Though sentiment analysis as a research area has made a lot of progress recently, there are still some challenges to overcome. In this work, two of these challenges were considered; the analysis of a non-English language and the impact of emojis. These areas were explored through creating a sentiment annotated dataset of Swedish texts containing emojis, and creating a Swedish sentiment analysis model for evaluation. The sentiment analysis model created, SweVADER, was based on the English Lexicon-based model VADER. The best performing SweVADER model achieved an accuracy of 0.53 and an F1-score of 0.47. Furthermore, the presence of emojis improved the analysis for most models, but not by much. The results indicate that the use of emojis can improve the sentiment analysis, but there were other features affecting the results as well. The sentiment lexicon used plays a key role, and pre-processing techniques like stemming could affect the performance too. A takeaway from this study is that emojis contain important sentiment information, and should not be disregarded. Furthermore, emojis are useful when analyzing texts, if there is a lack of linguistic resources for the language in question.

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    Authors: Jezierski, Wojtek;

    This chapter studies examples of confrontations between missionary guests and pagan host communities on the Baltic Rim from the late tenth to mid-twelfth centuries to uncover the spatial dynamics and intercultural articulations of hospitality in Christianization contexts. In terms of method, the chapter focuses on the functional, political, and symbolic mechanisms structuring collective production spaces of hospitality during such encounters. The addressed problems consider how spaces of hospitality were practically and discursively produced and negotiated through such meetings. It delves also into the ways arrival of this special type of Christian strangers and guests was contained in terms of power relations and security measures. And, finally, how these interactions involved and oscillated between hospitable and hostile attitudes. The results point out the deeply ambiguous, volatile, and heavily contested nature of spaces of hospitality in the Christianization of the Baltic Rim, both for missionary agents and for the host communities receiving/rejecting them.

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  • image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
    Authors: Mineur, Mattias;

    A lot of interaction between humans take place on social media. Groups and communities are sometimes formed both with and without intention. These interactions generate a large quantity of text data. This project aims to detect dissimilarity in discourse between communities on social media using a distributed approach. A data set of tweets was used to test and evaluate the method. Tweets produced from two communities were extracted from the data set. Two Natural Language Processing techniques were used to vectorise the tweets for each community. Namely LIWC, dictionary based on knowledge acquired from professionals in linguistics and psychology, and BERT, an embedding model which uses machine learning to present words and sentences as a vector of decimal numbers. These vectors were then used as representations of the text to measure the similarity of discourse between the communities. Both distance and similarity were measured. It was concluded that none of the combinations of measure or vectorisation method that was tried could detect a dissimilarity in discourse on social media for the sample data set. 

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    Authors: Svensson, Sabine;

    Målet med denna uppsats är tillsammans med de fyra inkluderade fall studierna, undersöka den sociala media plattformen, Instagrams strikta riktlinjer när det kommer till att visa nakenhet. På plattformen förekommer det en viss dubbelmoral, konstnärer samt konstinstitutioner blir censurerade, det vill säga, de får bilder borttagna eller deras konton blockerade när de försöker visa verk som har nakenhet avbildat, men samtidigt existerar det nakenhet på plattformen, denna uppsats vill framhäva den dubbelmoral genom att ge exempel på att bilder från kända personers konton, som visar lika mycket nakenhet som ett konstverk, om inte mer, får vara tillgängligt på den sociala plattformen. Denna uppsats vill då även framhäva att varför det är på detta sätt är för i grunden är det ett samhällsproblem, det är strukturer och normer som existerar runt omkring oss som är de bidragande faktorerna. Hur vi ser den ideala kroppen samt skönhet och hur den manliga blicken är den blicken som är just den dominanta blicken. En annan faktor som denna uppsats kommer analysera är skillnaden på konst och pornografi, och hur det påverkar censuren bland ett antal konstnärer. Med stöd av intervjuer och de teoretiska ramverken kommer denna uppsats undersöka Instagram som en modern plats för att visa konst, samtidigt som plattformen är till mesta del dubbelmoralisk och bias. Dessutom kommer denna uppsats att framhäva att i spelet om nakenhet har kända personer andra och enklare spelregler, jämfört med konstnärer, de blir i stället utdelade de stränga spelreglerna. The aim for this essay is, along with the four included case studies, is to examine the social media platform, Instagram's strict guidelines when it comes to showing nudity. On the platform there is a certain double standard, artists as well as art institutions are censored, that is, they get pictures removed or their accounts blocked when they try to show works that have nudity depicted, but at the same time nudity exists on the platform, this essay wants to highlight the double standard by setting the example that images from accounts of celebrities, which show as much nudity as a work of art, if not more, are allowed to be available on the social platform. This essay then also wants to emphasize that why it is this way is because fundamentally it is a social problem, it is the structures and norms that exist around us that are the contributing factors. How we see the ideal body and beauty and how the male gaze is the gaze that is precisely the dominant gaze. Another factor that this essay will analyse is the difference between art and pornography, and how it affects censorship among a number of artists. With the support of interviews and the theoretical frameworks, this essay will examine Instagram as a modern place to display art, while the platform is mostly double standards and bias. In addition, this essay will highlight that in the game of nudity celebrities have different and easier rules of the game, compared to artists, they are instead dealt with the strict rules of the game.

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    Authors: Nordlander, Sara;

    This essay describes the artistic project Skolbrandsarkeologi (school fire archeology) and operates within the field of contemporary archaeology. The essay presents three examples of when contemporary archaeology has played a role in, or contributed to, the healing of individuals or of relatives to people who have experienced traumatic events. These examples are then discussed in relation to the artistic project Skolbrandsarkeologi. The essay also explores the role that physical objects can play for memories and the various ethical challenges that the discipline of contemporary archeology may face. The results indicate that contemporary archaeology, both on its own and in collaborations with other disciplines, can have a positive therapeutic impact on the memories and experiences of traumatic events.

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    Authors: Kaelin, Vera C.; Valizadeh, Mina; Salgado, Zurisadai; Sim, Julia G.; +4 Authors

    Background: There is increased interest in using artificial intelligence (AI) to provide participation-focused pediatric re/habilitation. Existing reviews on the use of AI in participation-focused pediatric re/habilitation focus on interventions and do not screen articles based on their definition of participation. AI-based assessments may help reduce provider burden and can support operationalization of the construct under investigation. To extend knowledge of the landscape on AI use in participation-focused pediatric re/habilitation, a scoping review on AI-based participation-focused assessments is needed. Objective: To understand how the construct of participation is captured and operationalized in pediatric re/habilitation using AI. Methods: We conducted a scoping review of literature published in Pubmed, PsycInfo, ERIC, CINAHL, IEEE Xplore, ACM Digital Library, ProQuest Dissertation and Theses, ACL Anthology, AAAI Digital Library, and Google Scholar. Documents were screened by 2–3 independent researchers following a systematic procedure and using the following inclusion criteria: (1) focuses on capturing participation using AI; (2) includes data on children and/or youth with a congenital or acquired disability; and (3) published in English. Data from included studies were extracted [e.g., demographics, type(s) of AI used], summarized, and sorted into categories of participation-related constructs. Results: Twenty one out of 3,406 documents were included. Included assessment approaches mainly captured participation through annotated observations (n = 20; 95%), were administered in person (n = 17; 81%), and applied machine learning (n = 20; 95%) and computer vision (n = 13; 62%). None integrated the child or youth perspective and only one included the caregiver perspective. All assessment approaches captured behavioral involvement, and none captured emotional or cognitive involvement or attendance. Additionally, 24% (n = 5) of the assessment approaches captured participation-related constructs like activity competencies and 57% (n = 12) captured aspects not included in contemporary frameworks of participation. Conclusions: Main gaps for future research include lack of: (1) research reporting on common demographic factors and including samples representing the population of children and youth with a congenital or acquired disability; (2) AI-based participation assessment approaches integrating the child or youth perspective; (3) remotely administered AI-based assessment approaches capturing both child or youth attendance and involvement; and (4) AI-based assessment approaches aligning with contemporary definitions of participation.

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    Authors: Österberg, Adam;

    Labeling is the process of giving a set of data a descriptive name. This thesis dealt with documents with no additional information and aimed at clustering them using topic modeling and labeling them using Wikipedia as a second source. Labeling documents is a new field with many potential solutions. This thesis examined one method in a practical setting. Unstructured data was preprocessed and clustered using a topic model. Frequent words from each cluster were used to generate a search query sent to Wikipedia, where titles and categories from the most relevant pages were stored as candidate labels. Each candidate label was evaluated based on the frequency of common cluster words among the candidate labels. The frequency was weighted proportional to the relevance of the original Wikipedia article. The relevance was based on the order of appearance in the search results. The five labels with the highest scores were chosen to describe the cluster. The clustered documents consisted of exam questions that students use to practice before a course exam. Each question in the cluster was scored by someone experienced in the relevant topic by evaluating if one of the five labels correctly described the content. The method proved unreliable, with only one course receiving labels considered descriptive for most of its questions. A significant problem was the closely related data with all documents belonging to one overarching category instead of a dataset containing independent topics. However, for one dataset, 80 % of the documents received a descriptive label, indicating that labeling using secondary sources has potential, but needs to be investigated further.  Märkning handlar om att ge okända data en beskrivning. I denna uppsats behandlas data i form av dokument som utan ytterligare information klustras med temamodellering samt märks med hjälp av Wikipedia som en sekundär källa. Märkning av dokument är ett nytt forskningsområde med flera tänkbara vägar framåt. I denna uppsats undersöks en möjlig metod i en praktisk miljö. Dokumenten förbehandlas och grupperas i kluster med hjälp av en temamodell. Vanliga ord från varje kluster används sedan för att generera en sökfråga som skickas till Wikipedia där titlar och kategorier från de mest relevanta sidorna lagras som kandidater. Varje kandidat utvärderas sedan baserat på frekvensen av kandidatordet bland titlarna i klustret och relevansen av den ursprungliga Wikipedia-artikeln. Relevansen av artiklarna baserades på i vilken ordning de dök upp i sökresultatet. De fem märkningarna med högst poäng valdes ut för att beskriva klustret. De klustrade dokumenten bestod av tentamensfrågor som studenter använder sig av för att träna inför ett prov. Varje fråga i klustret utvärderades av någon med erfarenhet av det i frågan behandlade ämnet. Utvärderingen baserades på om någon av de fem märkningarna ansågs beskriva innehållet. Metoden visade sig vara opålitlig med endast en kurs som erhöll märkningar som ansågs beskrivande för majoriteten av dess frågor. Ett stort problem var att data var nära relaterad med alla dokument tillhörande en övergripande kategori i stället för oberoende ämnen. För en datamängd fick dock 80 % av dokumenten en beskrivande etikett. Detta visar att märkning med hjälp av sekundära källor har potential, men behöver undersökas ytterligare.

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    Authors: Sörlin, Sverker;

    Part of book: ISBN 978-1-009-10023-6QC 20221219

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    Authors: Melki, Andre;
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    Authors: Mogren, Ida;

    This essay examines the body in post-cyberfeminist art to study possible changes in how the body is perceived in the shift from cyberfeminist to post-cyberfeminist art. I have studied the body by examining power and identity in four cases of post-cyberfeminist art, using postmodern feminist theories and concepts such as gender, gender performativity, heterosexual matrix and intersectionality. The essay consists of image, moving image and textual analysis and two shorter comparative analyses. In the first comparative analysis, I have compared the four cases of post-cyberfeminist art with each other. In the second analysis, I focus on a comparative analysis between the four cases of post-cyberfeminist art and earlier cyberfeminist projects. In the discussion, I present my results and elaborate on a possible shift in how the body's materiality is viewed within digital landscapes of post-cyberfeminist art. I argue that the cyborg, central to the earlier cyberfeminist project, might have been replaced by transformable avatars.

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    Authors: Berggren, Lovisa;

    This study investigates the use of emojis in sentiment analysis for the Swedish language, with the objective to assess if emojis improve the performance of the model. Sentiment analysis is an NLP classification task aimed at extracting people's opinions, sentiments, and attitudes from language. Though sentiment analysis as a research area has made a lot of progress recently, there are still some challenges to overcome. In this work, two of these challenges were considered; the analysis of a non-English language and the impact of emojis. These areas were explored through creating a sentiment annotated dataset of Swedish texts containing emojis, and creating a Swedish sentiment analysis model for evaluation. The sentiment analysis model created, SweVADER, was based on the English Lexicon-based model VADER. The best performing SweVADER model achieved an accuracy of 0.53 and an F1-score of 0.47. Furthermore, the presence of emojis improved the analysis for most models, but not by much. The results indicate that the use of emojis can improve the sentiment analysis, but there were other features affecting the results as well. The sentiment lexicon used plays a key role, and pre-processing techniques like stemming could affect the performance too. A takeaway from this study is that emojis contain important sentiment information, and should not be disregarded. Furthermore, emojis are useful when analyzing texts, if there is a lack of linguistic resources for the language in question.

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    Authors: Jezierski, Wojtek;

    This chapter studies examples of confrontations between missionary guests and pagan host communities on the Baltic Rim from the late tenth to mid-twelfth centuries to uncover the spatial dynamics and intercultural articulations of hospitality in Christianization contexts. In terms of method, the chapter focuses on the functional, political, and symbolic mechanisms structuring collective production spaces of hospitality during such encounters. The addressed problems consider how spaces of hospitality were practically and discursively produced and negotiated through such meetings. It delves also into the ways arrival of this special type of Christian strangers and guests was contained in terms of power relations and security measures. And, finally, how these interactions involved and oscillated between hospitable and hostile attitudes. The results point out the deeply ambiguous, volatile, and heavily contested nature of spaces of hospitality in the Christianization of the Baltic Rim, both for missionary agents and for the host communities receiving/rejecting them.

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