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Inter-Faces ; Interface-à-face
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In: https://tel.archives-ouvertes.fr/tel-03173300 ; Art et histoire de l'art. Université Grenoble Alpes [2020-.], 2020. Français. ⟨NNT : 2020GRALL024⟩ (2020)
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Minding the Gap: A Discourse Analysis on Corporate and Adolescent Users on Snapchat
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The Yellow Vest Protest, Study of a Social Movement through the prism of its Media Arena ; Les Gilets jaunes, étude d’un mouvement social au prisme de ses arènes médiatiques
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In: ISSN: 0997-5551 ; EISSN: 2429-4578 ; Terminal. Technologie de l’information, culture & société ; https://hal.archives-ouvertes.fr/hal-02637925 ; Terminal. Technologie de l’information, culture & société, L'Harmattan / CREIS, 2020, Les groupes minoritaires et/ou marginalisés à l’ère numérique, ⟨10.4000/terminal.5671⟩ ; https://journals.openedition.org/terminal/5671 (2020)
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Co-occurrence networks of Twitter content after manual or automatic processing. A case- study on “gluten-free”
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Content Selection for Effective Counter-Argument Generation
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Abstract:
The information ecosystem of social media has resulted in an abundance of opinions on political topics and current events. In order to encourage better discussions, it is important to promote high-quality responses and relegate low-quality ones. We thus focus on automatically analyzing and generating counter-arguments in response to posts on social media with the goal of providing effective responses. This thesis is composed of three parts. In the first part, we conduct an analysis of arguments. Specifically, we first annotate discussions from Reddit for aspects of arguments and then analyze them for their persuasive impact. Then we present approaches to identify the argumentative structure of these discussions and predict the persuasiveness of an argument. We evaluate each component independently using automatic or manual evaluations and show significant improvement in each. In the second part, we leverage our discoveries from our analysis in the process of generating counter-arguments. We develop two approaches in the retrieve-and-edit framework, where we obtain content using methods created during our analysis of arguments, among others, and then modify the content using techniques from natural language generation. In the first approach, we develop an approach to retrieve counter-arguments by annotating a dataset for stance and building models for stance prediction. Then we use our approaches from our analysis of arguments to extract persuasive argumentative content before modifying non-content phrases for coherence. In contrast, in the second approach we create a dataset and models for modifying content -- making semantic edits to a claim to have a contrasting stance. We evaluate our approaches using intrinsic automatic evaluation of our predictive models and an overall human evaluation of our generated output. Finally, in the third part, we discuss the semantic challenges of argumentation that we need to solve in order to make progress in the understanding of arguments. To clarify, we develop new methods for identifying two types of semantic relations -- causality and veracity. For causality, we build a distant-labeled dataset of causal relations using lexical indicators and then we leverage features from those indicators to build predictive models. For veracity, we build new models to retrieve evidence given a claim and predict whether the claim is supported by that evidence. We also develop a new dataset for veracity to illuminate the areas that need progress. We evaluate these approaches using automated and manual techniques and obtain significant improvement over strong baselines. Finally, we apply these techniques to claims in the domain of household electricity consumption, mining claims using our methods for causal relations and then verifying their truthfulness.
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Keyword:
Logic; Social media
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URL: https://doi.org/10.7916/d8-71fz-xg62
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The Yellow Vest Protest, Study of a Social Movement through the prism of its Media Arena ; Les Gilets jaunes, étude d’un mouvement social au prisme de ses arènes médiatiques
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In: ISSN: 0997-5551 ; EISSN: 2429-4578 ; Terminal. Technologie de l’information, culture & société ; https://hal.archives-ouvertes.fr/hal-03605156 ; Terminal. Technologie de l’information, culture & société, L'Harmattan / CREIS, 2020, Les groupes minoritaires et/ou marginalisés à l’ère numérique, ⟨10.4000/terminal.5671⟩ (2020)
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The Use of Technology for Communicating With Clinicians or Seeking Health Information in a Multilingual Urban Cohort: Cross-Sectional Survey.
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In: Journal of medical Internet research, vol 22, iss 4 (2020)
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Communicating Awareness About COVID-19 Through Songs: An Example From Ghana.
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The Use of Technology for Communicating With Clinicians or Seeking Health Information in a Multilingual Urban Cohort: Cross-Sectional Survey.
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In: Journal of medical Internet research, vol 22, iss 4 (2020)
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A human-machine partnered approach for identifying social media signals of elevated traumatic grief in Chicago gang territories.
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In: PloS one, vol 15, iss 7 (2020)
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The Design of Online Environments (Political Hashtags) and the Quality of Democratic Discourse At-Scale
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A human-machine partnered approach for identifying social media signals of elevated traumatic grief in Chicago gang territories.
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In: PloS one, vol 15, iss 7 (2020)
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Prediction and Visual Intelligence for Security Information: The PREVISION H2020 Project
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In: CIRCLE 2020 ; https://hal.archives-ouvertes.fr/hal-02877780 ; CIRCLE 2020, Iván Cantador; Max Chevalier; Massimo Melucci; Josiane Mothe, Jul 2020, Samatan, France ; http://ceur-ws.org/Vol-2621/ (2020)
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Régionaliser l'espace public européen au prisme de l'agenda médiatique des migrations (2014-2018)
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In: Proceedings du 5e colloque international du CIST ; CIST2020 - Population, temps, territoires ; https://hal.archives-ouvertes.fr/hal-03114140 ; CIST2020 - Population, temps, territoires, Collège international des sciences territoriales (CIST), Nov 2020, Paris-Aubervilliers, France. pp.61-66 ; https://cist.cnrs.fr/colloques-internationaux/cist2020-population-temps-territoires/ (2020)
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"Just as Orwell said": The Emergence of a "Dystopian Framing" in French Conservative Media in the 2010s
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In: ISSN: 2641-2837 ; SFRA Review ; https://hal.archives-ouvertes.fr/hal-03127627 ; SFRA Review, Science Fiction Research Association, 2020, 50 (4), pp.119-127 ; https://sfrareview.org/ (2020)
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