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Science ouverte ; Science ouverte: défis mondiaux pour la science et la société
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In: https://hal.archives-ouvertes.fr/hal-03618200 ; 2020 (2020)
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Société civile (lexique)
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In: EISSN: 2609-6404 ; Publictionnaire. Dictionnaire encyclopédique et critique des publics ; https://hal.univ-lorraine.fr/hal-02891853 ; 2020, pp.[En ligne] (2020)
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Влияние информационных технологий на развитие личности ... : Influence of information technologies on personality development ...
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Towards the B-TAMBiT: A Back-Translation with an Adjudicator with Mono and Bilingual Tests ...
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Accurate and Scalable Matching of Translators to Displaced Persons for Overcoming Language Barriers ...
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Gender Bias in Multilingual Embeddings and Cross-Lingual Transfer ...
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MM-COVID: A Multilingual and Multimodal Data Repository for Combating COVID-19 Disinformation ...
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Characterizing and Comparing COVID-19 Misinformation Across Languages, Countries and Platforms ...
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Novel version of PageRank, CheiRank and 2DRank for Wikipedia in Multilingual Network using Social Impact ...
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GeoCoV19: A Dataset of Hundreds of Millions of Multilingual COVID-19 Tweets with Location Information ...
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A Machine Learning Approach to Detect Suicidal Ideation in US Veterans Based on Acoustic and Linguistic Features of Speech ...
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Identifying pandemic-related stress factors from social-media posts -- effects on students and young-adults ...
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Quantifying Intimacy in Language ...
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Abstract:
Intimacy is a fundamental aspect of how we relate to others in social settings. Language encodes the social information of intimacy through both topics and other more subtle cues (such as linguistic hedging and swearing). Here, we introduce a new computational framework for studying expressions of the intimacy in language with an accompanying dataset and deep learning model for accurately predicting the intimacy level of questions (Pearson's r=0.87). Through analyzing a dataset of 80.5M questions across social media, books, and films, we show that individuals employ interpersonal pragmatic moves in their language to align their intimacy with social settings. Then, in three studies, we further demonstrate how individuals modulate their intimacy to match social norms around gender, social distance, and audience, each validating key findings from studies in social psychology. Our work demonstrates that intimacy is a pervasive and impactful social dimension of language. ... : EMNLP 2020 ...
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Keyword:
Computation and Language cs.CL; Computers and Society cs.CY; FOS Computer and information sciences; Social and Information Networks cs.SI
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URL: https://arxiv.org/abs/2011.03020 https://dx.doi.org/10.48550/arxiv.2011.03020
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Deep Learning Framework for Measuring the Digital Strategy of Companies from Earnings Calls ...
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Annotating for Hate Speech: The MaNeCo Corpus and Some Input from Critical Discourse Analysis ...
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ALONE: A Dataset for Toxic Behavior among Adolescents on Twitter ...
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Unsupervised embedding of trajectories captures the latent structure of mobility ...
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