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Η επίδραση των κοινωνικών μέσων δικτύωσης στον σχεδιασμό ενός ταξιδιού: Ταξιδιωτική πρόθεση και αντίληψη κινδύνου κατά τη διάρκεια της πανδημίας
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The Rhetoric of Psychopathology: An Interdisciplinary Approach to Understanding and Talking About Mental Health
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Influencer detection in social media ; Détection des influenceurs dans des médias sociaux
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In: https://tel.archives-ouvertes.fr/tel-03640442 ; Ordinateur et société [cs.CY]. Institut National des Langues et Civilisations Orientales- INALCO PARIS - LANGUES O', 2021. Français. ⟨NNT : 2021INAL0034⟩ (2021)
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Hate speech and offensive language detection using transfer learning approaches ; Détection du discours de haine et du langage offensant utilisant des approches de Transfer Learning
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In: https://tel.archives-ouvertes.fr/tel-03276023 ; Document and Text Processing. Institut Polytechnique de Paris, 2021. English. ⟨NNT : 2021IPPAS007⟩ (2021)
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Influencer detection in social media ; Détection des influenceurs dans des médias sociaux
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In: https://tel.archives-ouvertes.fr/tel-03640442 ; Ordinateur et société [cs.CY]. Institut National des Langues et Civilisations Orientales- INALCO PARIS - LANGUES O', 2021. Français. ⟨NNT : 2021INAL0034⟩ (2021)
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Generating health evidence from social media ; Extração de informação de saúde através das redes sociais
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Studying depression through big data analytics on Twitter
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In: TDX (Tesis Doctorals en Xarxa) (2021)
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Civility in digital discourse : an experimental approach to the contagion of thoughtful and hurtful responses
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Espraiamento do conservadorismo no Brasil das mídias sociais ; Spread of conservatism in Brazil on social networks
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Paiva, Síria Maria Andrade. - : Universidade Federal do Rio Grande do Norte, 2021. : Brasil, 2021. : UFRN, 2021. : Serviço Social, 2021. : Departamento de Serviço Social, 2021
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Content Selection for Effective Counter-Argument Generation
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Clickbait detection using multimodel fusion and transfer learning ; Détection de clickbait utilisant fusion multimodale et apprentissage par transfert
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In: https://tel.archives-ouvertes.fr/tel-03139880 ; Social and Information Networks [cs.SI]. Institut Polytechnique de Paris, 2020. English. ⟨NNT : 2020IPPAS025⟩ (2020)
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An old tradition in a new space : a critical discourse analysis of YouTubers' metalinguistic commentary on Quebec French
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Towards Subjective Multimedia Summarization Framework for Sporting Event in the Context of Digital Twins
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Detection and analysis of drug non-adherence in social media ; Détection et analyse de la non-adhérence médicamenteuse dans les réseaux sociaux
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In: https://tel.archives-ouvertes.fr/tel-02478927 ; Linguistique. Université de Lille, 2019. Français. ⟨NNT : 2019LILUH026⟩ (2019)
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Neologia de empresa: o Facebook como observatório de novas tendências em neologia
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Language, queerly phrased: a sociolinguistic examination of nonbinary gender identity in French
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Computational linguistics using social media to understand immigrant sentiment in the United States
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Bain, James. - : University of Missouri--Columbia, 2019
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Abstract:
[ACCESS RESTRICTED TO THE UNIVERSITY OF MISSOURI AT REQUEST OF AUTHOR.] International migration is increasing throughout the world, including migration to the United States. This increase corresponds with a global rise in support for anti-immigrant, nationalist political parties. Supporters of these ideologies cite being fearful of perceived economic and violence threats posed by international migrant populations. Many of these suspicions are a form of prejudice: feelings or opinions toward a group of people that are not rooted in actual experience. Prejudice often results in hostility. One way in which anti-migrant hostility has manifested is in the form of angry rhetoric on social media platforms, such as Twitter. Chapter 2 examines the demographic landscape of migrant and language speaking communities in cities across the United States. Conforming to other characteristics of cities, these demographic indicators exhibit patterns consistent with overall population growth, such that larger cities have proportionally more migrant and minority language speaking communities than smaller cities. Chapter 3 introduces a model for detecting anger in tweets using a gated recurrent unit neural network. Tweets about immigration were used to assess the performance of the model. Results indicate that certain words used in reference to migrant populations attach different levels of anger. Chapter 4 tests two popular social scientific theories of prejudice: namely, contact and group threat theories. These tests used city-level demographic data along with the distance to the U.S.-Mexico border as predictors of anger in tweets about migrant populations in the United States. Results show that both theories could be operating such that cities with more migrants are less angry overall with respect to immigration. However, when holding the other predictors constant, anger increases in cities the closer they are to the border. ; Includes bibliographical references
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Keyword:
Anthropology; Immigration; Migrant communities; Prejudice; Social media
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URL: https://hdl.handle.net/10355/73842
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