arXiv:2511.18369v1 Announce Type: new 
Abstract: This thesis addresses two paradoxes: (1) why empirical studies find that fake news represent only a small share of the information consulted and shared on social media despite the absence of editorial control or journalistic norms, and (2) how political polarization has intensified even though users do not appear especially receptive to fake news. To investigate these issues, two complementary studies were carried out on Twitter and Facebook, combining quantitative analyses of digital traces with online observation and interviews. This mixed-methods design avoids reducing users to single reactions to identified fake items and instead examines the variety of practices across different interactional situations, online and offline, while recording socio-demographic traits. The first study mapped users who shared at least one item labeled fake by fact-checkers in the French Twittersphere. The second used a corpus of items flagged by Facebook users to study reactions to statements whose epistemic status is uncertain. Three main findings emerge. First, sharing fake news is concentrated among a limited group of users who are not less educated or cognitively disadvantaged but are more politicized and critical of institutions; owing to their high activity and prolific sharing, they can help set the agenda for their political camp. Second, exposed users can deploy varying forms of critical distance depending on their social position and the interactional norms of the situations they inhabit: either discursive caution (prudence \'enonciative) or interventions ('points d'arr\^et') that express disagreement or corrections. Third, these forms of critical distance seldom yield genuine deliberative debates or agonistic pluralism; rather, they often produce dialogues of the deaf among a small, particularly active minority.

تدرس أطروحة جديدة التناقض حول سبب كون الأخبار الزائفة تمثل جزءًا صغيرًا من المعلومات المشتركة على وسائل التواصل الاجتماعي، على الرغم من عدم وجود إشراف تحرير. تشمل الأطروحة دراستين تحللان سلوك المستخدمين على تويتر وفيسبوك، مع التركيز على مشاركة العناصر التي تم تصنيفها على أنها زائفة من قبل مدققي الحقائق. تستخدم الدراسة منهجًا مختلطًا يجمع بين البيانات الكمية والرؤى النوعية من تفاعلات المستخدمين.

Una nueva tesis investiga la paradoja de por qué las noticias falsas constituyen una pequeña parte de la información compartida en las redes sociales, a pesar de la falta de supervisión editorial. Incluye dos estudios que analizan el comportamiento de los usuarios en Twitter y Facebook, centrándose en el intercambio de artículos etiquetados como falsos por verificadores de hechos. La investigación emplea un enfoque de métodos mixtos, combinando datos cuantitativos con perspectivas cualitativas de las interacciones de los usuarios.

Une nouvelle thèse examine le paradoxe de savoir pourquoi les fake news représentent une petite partie des informations partagées sur les réseaux sociaux, malgré l'absence de contrôle éditorial. Elle comprend deux études analysant le comportement des utilisateurs sur Twitter et Facebook, en se concentrant sur le partage d'articles étiquetés comme faux par des vérificateurs de faits. La recherche utilise une approche mixte, combinant des données quantitatives avec des insights qualitatifs issus des interactions des utilisateurs.

A new thesis investigates the paradox of why fake news constitutes a small portion of shared information on social media, despite the lack of editorial oversight. It includes two studies analyzing user behavior on Twitter and Facebook, focusing on the sharing of items labeled as fake by fact-checkers. The research employs a mixed-methods approach, combining quantitative data with qualitative insights from user interactions.

Tu crois que c'est vrai ? Diversite des regimes d'enonciation face aux fake news et mecanismes d'autoregulation conversationnelle

قررت هيئة الرقابة التابعة لشركة ميتا السماح بوجود محتوى مُعدل على فيسبوك، مما يشير إلى تسامح مع بعض أنواع المعلومات المضللة. تعكس هذه القرار موقف الهيئة بشأن التوازن بين إدارة المحتوى ومبادئ حرية التعبير وتفاعل المستخدمين على المنصة.

La Junta de Supervisión de Meta ha decidido permitir que el contenido manipulado permanezca en Facebook, lo que indica una tolerancia hacia ciertos tipos de desinformación. Esta decisión refleja la postura de la junta sobre el equilibrio entre la moderación de contenido y los principios de libertad de expresión y participación del usuario en la plataforma.

Le Conseil de surveillance de Meta a décidé de permettre à du contenu manipulé de rester sur Facebook, indiquant une tolérance pour certains types de désinformation. Cette décision reflète la position du conseil sur l'équilibre entre la modération du contenu et les principes de liberté d'expression et d'engagement des utilisateurs sur la plateforme.

Meta's Oversight Board has decided to allow manipulated content to remain on Facebook, indicating a tolerance for certain types of misinformation. This decision reflects the board's stance on balancing content moderation with the principles of free expression and user engagement on the platform.

Meta's Oversight Board is fine with leaving manipulated content on Facebook

arXiv:2511.16905v1 Announce Type: new 
Abstract: Early detection of rising talents is of paramount importance in the field of advertising. In this paper, we define a concept of talent breakout and propose a method to detect Japanese talents before their rise to stardom. The main focus of the study is to determine the effectiveness of combining Twitter and TV data on predicting time-dependent changes in social data. Although traditional time-series models are known to be robust in many applications, the success of neural network models in various fields (e.g.\ Natural Language Processing, Computer Vision, Reinforcement Learning) continues to spark an interest in the time-series community to apply new techniques in practice. Therefore, in order to find the best modeling approach, we have experimented with traditional, neural network and ensemble learning methods. We observe that ensemble learning methods outperform traditional and neural network models based on standard regression metrics. However, by utilizing the concept of talent breakout, we are able to assess the true forecasting ability of the models, where neural networks outperform traditional and ensemble learning methods in terms of precision and recall.

قدمت دراسة جديدة طريقة للتنبؤ بمعدل انطلاق المواهب اليابانية من خلال تحليل بيانات تويتر والتلفزيون. تبرز هذه البحث أهمية الكشف المبكر في مجال الإعلان وتقيّم فعالية تقنيات النمذجة المختلفة، بما في ذلك الطرق التقليدية، والشبكات العصبية، وطرق التعلم الجماعي.

Un nuevo estudio ha presentado un método para predecir la tasa de despegue de talentos japoneses mediante el análisis de datos de Twitter y televisión. La investigación destaca la importancia de la detección temprana en la publicidad y evalúa la efectividad de varias técnicas de modelado, incluidas las tradicionales, las redes neuronales y los métodos de aprendizaje por conjunto.

Une nouvelle étude a introduit une méthode pour prédire le taux d'émergence des talents japonais en analysant les données de Twitter et de la télévision. La recherche souligne l'importance de la détection précoce dans la publicité et évalue l'efficacité de diverses techniques de modélisation, y compris les méthodes traditionnelles, les réseaux de neurones et l'apprentissage par ensemble.

A new study has introduced a method for predicting the breakout rate of Japanese talents by analyzing data from Twitter and television. The research highlights the importance of early detection in advertising and evaluates the effectiveness of various modeling techniques, including traditional, neural network, and ensemble learning methods.

Tu crois que c'est vrai ? Diversite des regimes d'enonciation face aux fake news et mecanismes d'autoregulation conversationnelle

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