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How would Starmer’s social media ban for under-16s work in the UK?
How would Starmer’s social media ban for under-16s work in the UK? Around eight in 10 UK children aged three to 17 are estimated to have at least one active social media profile - Bookmark - CommentsGo to comments Sir Keir Starmer is expected to announce a ban on social media for under-16s after the results of a nationwide consultation are thought to have shown support for the measures. The prime minister is preparing to unveil plans to restrict online activity for children to protect them...
Towards a Framework for Social Mechanics
Announce Type: replace Abstract: Social physics explores the possibility that mathematical structures developed in physics may provide useful descriptions of certain social phenomena. In this work, we propose an effective mechanical framework for modelling social change in terms of positions in a space of social stances, together with concepts analogous to motion, inertia, interaction, and force. A central feature of the framework is the introduction of position-dependent inertial responses,...
Culturally-Aware AI for Cross-Boundary Community Learning: Undergraduate Innovation at the Intersection of Computation and Design
arXiv:2606.09041v1 Announce Type: new Abstract: Research on artificial intelligence in education (AIED) is rapidly expanding, yet technical progress often lacks human-centered grounding and adequate attention to cultural context. Community-Based Learning, a pedagogy rooted in social work, remains underrepresented in AIED research, particularly within Asia-Pacific contexts. This paper reports on cross-boundary Community-Based Learning where undergraduate students develop AI-enabled solutions...
How returning to school helped this social worker deepen his practice
How returning to school helped this social worker deepen his practice Through applied learning, mentorship and a community of fellow adult learners, Mr Kevin See strengthened the way he serves families, leads teams and mentors future practitioners. During a meeting about a study corner used by children living in rental flats, Mr Kevin See found himself speaking up against plans to remove the space. To him, the corner was more than just a place for tuition sessions.
Malaysia's under-16 social media ban carries fines up to $2.5 million
Malaysia's under-16 social media ban carries fines up to $2.5 million The ban is now in effect but the enforcement rollout is happening over the next six months. Malaysia's social media ban for anyone under 16 officially went into effect today. The country has been working to restrict social media usage for kids since last year and eventually approved a ban that affects any platform with more than eight million users in Malaysia.
Before You Scroll Again: Predicting Regretful Social Media Sessions from In-the-Wild Contextual and Wearable Sensing
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Differing Roles of Leisure and Productivity in GDP - A Machine Learning based comparative analysis of Germany and USA
Announce Type: cross Abstract: The GDP of a country is modelled as the relative interaction between two agents - working hours, reflecting the social choice of a population, and Total Factor Productivity, reflecting the collective investment in productivity enhancers. It is shown that a Random Forest model can accu- rately predict the GDP from these two factors. The differences in the choices made by Germany and USA are analysed though Gini importance, SHAP plots and partial dependency.
Differing Roles of Leisure and Productivity in GDP - A Machine Learning based comparative analysis of Germany and USA
Announce Type: cross Abstract: The GDP of a country is modelled as the relative interaction between two agents - working hours, reflecting the social choice of a population, and Total Factor Productivity, reflecting the collective investment in productivity enhancers. It is shown that a Random Forest model can accu- rately predict the GDP from these two factors. The differences in the choices made by Germany and USA are analysed though Gini importance, SHAP plots and partial dependency.
Learning Perspectivist Social Meaning via Demographic-Conditioned Fusion Embeddings
arXiv:2606.07123v1 Announce Type: new Abstract: Social meaning in language is inherently perspectival, varying across annotator backgrounds, demographics, and ideological positions. However, most NLP systems collapse this variation into a single ground-truth label, ignoring the diversity of interpretations. In this work, we model social dimensions along a perspectivist spectrum, capturing how interpretations vary across demographic groups on a dataset consisting of 28k human annotations.
Mechanism Design Is Not Enough: Prosocial Agents for Cooperative AI
arXiv:2605.08426v2 Announce Type: replace Abstract: Ensuring that AI agents behave safely and beneficially when interacting with other parties has emerged as one of the central challenges of modern AI safety. While mechanism design, as the theory of designing rules to align individual and collective objectives, can incentivize cooperative behavior, it is still an open question whether it alone is sufficient to maximize LLM agents' social welfare. This work proves that the answer is negative:...