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« “Twitta” “Intellectuelle” “Influenceuse” ? Être enseignante-chercheuse sur twitter »
In: ISSN: 1763-0061 ; EISSN: 1963-1812 ; Tracés : Revue de Sciences Humaines ; https://hal.archives-ouvertes.fr/hal-03592945 ; Tracés : Revue de Sciences Humaines, ENS Éditions, A paraître (2022)
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2
Chapter 11. Consumer opinion about smoked bacon using Twitter and textual analysis: The challenge continues
In: Sensory Analysis for the Development of Meat Products ; https://hal-agrosup-dijon.archives-ouvertes.fr/hal-03575175 ; Sensory Analysis for the Development of Meat Products, Elsevier, pp.181-196, 2022, 9780128228326. ⟨10.1016/B978-0-12-822832-6.00013-8⟩ (2022)
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3
Health TrueInfo: A multilingual Android app and social media approach in tackling COVID-19 vaccine misinformation and hesitancy in Bolivia, India, and Canada
In: University of Toronto Journal of Public Health; Vol. 3 No. 1 (2022): Special Issue of Abstracts from Conferences ; 2563-1454 (2022)
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4
Detecting weak and strong Islamophobic hate speech on social media
Vidgen, Bertie; Yasseri, Taha. - : Taylor & Francis, 2022
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5
Word Frequency Analysis of Community Reaction to Religious Violence on Social Media
In: School of Computer Science & Engineering Faculty Publications (2022)
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6
Examining negative online social reaction to police use of force : the George Floyd and Jacob Blake events
Péloquin, Olivier; Fortin, Francis; Paquette, Sarah. - : University of Toronto Press, 2022. : Canadian Criminal Justice Association, 2022
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7
Η επίδραση των κοινωνικών μέσων δικτύωσης στον σχεδιασμό ενός ταξιδιού: Ταξιδιωτική πρόθεση και αντίληψη κινδύνου κατά τη διάρκεια της πανδημίας
Μουστάκα, Ελένη. - : Πανεπιστήμιο Μακεδονίας, 2022
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8
Impact of maternal smartphone use on language output
Casar, Mercedes. - 2022
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9
Temporal Emotion Dynamics in Social Networks
Naskar, Debashis. - : Universitat Politècnica de València, 2022
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10
Language modeling for personality prediction
Cutler, Andrew. - 2021
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11
The Rhetoric of Psychopathology: An Interdisciplinary Approach to Understanding and Talking About Mental Health
Stigall, Regan. - 2021
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12
An Approach Utilizing Linguistic Features for Fake News Detection
In: IFIP Advances in Information and Communication Technology ; 17th IFIP International Conference on Artificial Intelligence Applications and Innovations (AIAI) ; https://hal.inria.fr/hal-03287679 ; 17th IFIP International Conference on Artificial Intelligence Applications and Innovations (AIAI), Jun 2021, Hersonissos, Crete, Greece. pp.646-658, ⟨10.1007/978-3-030-79150-6_51⟩ (2021)
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13
Emotionally Informed Hate Speech Detection: A Multi-target Perspective
In: ISSN: 1866-9956 ; EISSN: 1866-9964 ; Cognitive Computation ; https://hal.archives-ouvertes.fr/hal-03275549 ; Cognitive Computation, Springer, 2021, 13 (4), ⟨10.1007/s12559-021-09862-5⟩ ; https://link.springer.com/article/10.1007%2Fs12559-021-09862-5 (2021)
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14
Multiword Expression Features for Automatic Hate Speech Detection
In: NLDB 2021 - 26th International Conference on Natural Language & Information Systems ; https://hal.archives-ouvertes.fr/hal-03231047 ; NLDB 2021 - 26th International Conference on Natural Language & Information Systems, Jun 2021, Saarbrücken/Virtual, Germany ; http://nldb2021.sb.dfki.de/ (2021)
Abstract: International audience ; The task of automatically detecting hate speech in social media is gaining more and more attention. Given the enormous volume of content posted daily, human monitoring of hate speech is unfeasible. In this work, we propose new word-level features for automatic hate speech detection (HSD): multiword expressions (MWEs). MWEs are lexical units greater than a word that have idiomatic and compositional meanings. We propose to integrate MWE features in a deep neural network-based HSD framework. Our baseline HSD system relies on Universal Sentence Encoder (USE). To incorporate MWE features, we create a three-branch deep neural network: one branch for USE, one for MWE categories, and one for MWE embeddings. We conduct experiments on two hate speech tweet corpora with different MWE categories and with two types of MWE embeddings, word2vec and BERT. Our experiments demonstrate that the proposed HSD system with MWE features significantly outperforms the baseline system in terms of macro-F1.
Keyword: [INFO.INFO-SI]Computer Science [cs]/Social and Information Networks [cs.SI]; [INFO.INFO-TT]Computer Science [cs]/Document and Text Processing; [INFO]Computer Science [cs]; Deep learning; Hate speech detection; Social media
URL: https://hal.archives-ouvertes.fr/hal-03231047/file/NLDB_2021___Multiword_Expression_Features_for_Automatic_Hate_Speech_Detection__short_paper___.pdf
https://hal.archives-ouvertes.fr/hal-03231047/document
https://hal.archives-ouvertes.fr/hal-03231047
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15
Influencer detection in social media ; Détection des influenceurs dans des médias sociaux
Deturck, Kévin. - : HAL CCSD, 2021
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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16
Artificial Intelligence for Mental Health Care: Clinical Applications, Barriers, Facilitators, and Artificial Wisdom.
In: Biological psychiatry. Cognitive neuroscience and neuroimaging, vol 6, iss 9 (2021)
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17
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
Mozafari, Marzieh. - : HAL CCSD, 2021
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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18
ARMYPEDIA: A “Special Chronicle” of Multilingual Digital Crowdsourcing ...
Kittinger, Allison. - : The University of North Carolina at Chapel Hill University Libraries, 2021
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19
Civility in digital discourse : an experimental approach to the contagion of thoughtful and hurtful responses ...
Oshinski, Paul DuPont. - : The University of Texas at Austin, 2021
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20
Influencer detection in social media ; Détection des influenceurs dans des médias sociaux
Deturck, Kévin. - : HAL CCSD, 2021
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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