Cyberbullying detection for low-resource languages and dialects: Review of the state of the art

Information Processing & Management, Год журнала: 2023, Номер 60(5), С. 103454 - 103454

Опубликована: Июль 17, 2023

Язык: Английский

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Information, awareness, and mental health: Evidence from air pollution disclosure in China

Journal of Environmental Economics and Management, Год журнала: 2023, Номер 120, С. 102827 - 102827

Опубликована: Май 30, 2023

Язык: Английский

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Misunderstanding the harms of online misinformation

Nature, Год журнала: 2024, Номер 630(8015), С. 45 - 53

Опубликована: Июнь 5, 2024

Язык: Английский

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Opportunities and risks of large language models in psychiatry

NPP—Digital Psychiatry and Neuroscience, Год журнала: 2024, Номер 2(1)

Опубликована: Май 24, 2024

Abstract The integration of large language models (LLMs) into mental healthcare and research heralds a potentially transformative shift, one offering enhanced access to care, efficient data collection, innovative therapeutic tools. This paper reviews the development, function, burgeoning use LLMs in psychiatry, highlighting their potential enhance through improved diagnostic accuracy, personalized streamlined administrative processes. It is also acknowledged that introduce challenges related computational demands, for misinterpretation, ethical concerns, necessitating development pragmatic frameworks ensure safe deployment. We explore both promise enriching psychiatric care examples such as predictive analytics therapy chatbots risks including labor substitution, privacy necessity responsible AI practices. conclude by advocating processes develop guardrails, red-teaming, multi-stakeholder-oriented safety, guidelines/frameworks, mitigate harness full advancing health.

Язык: Английский

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Variation in social media sensitivity across people and contexts

Scientific Reports, Год журнала: 2024, Номер 14(1)

Опубликована: Март 19, 2024

Abstract Social media impacts people’s wellbeing in different ways, but relatively little is known about why this the case. Here we introduce construct of “social sensitivity” to understand how social and associations differ across people contexts which these platforms are used. In a month-long large-scale intensive longitudinal study (total n = 1632; total number observations 120,599), examined for whom under circumstances was associated with positive negative changes affective wellbeing. Applying combination frequentist Bayesian multilevel models, found small average association between use AND subsequent wellbeing, were heterogenous people. People psychologically vulnerable dispositions (e.g., those who depressed, lonely, not satisfied life) tended experience heightened sensitivity comparison vulnerable. also experienced when certain types places places, nature) while around family members, close ties), as compared using other contexts. Our results suggest that an understanding effects on should account psychological users, physical surrounding their use. We discuss theoretical practical implications scholars, policymakers, technology industry.

Язык: Английский

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Everyday Metaverse: The Metaverse as an Integral Part of Everyday Life

Journal of Management Information Systems, Год журнала: 2025, Номер 42(1), С. 310 - 342

Опубликована: Янв. 2, 2025

Язык: Английский

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AI Chatbots in Digital Mental Health

Informatics, Год журнала: 2023, Номер 10(4), С. 82 - 82

Опубликована: Окт. 27, 2023

Artificial intelligence (AI) chatbots have gained prominence since 2022. Powered by big data, natural language processing (NLP) and machine learning (ML) algorithms, they offer the potential to expand capabilities, improve productivity provide guidance support in various domains. Human–Artificial Intelligence (HAI) is proposed help with integration of human values, empathy ethical considerations into AI order address limitations enhance their effectiveness. Mental health a critical global concern, substantial impact on individuals, communities economies. Digital mental solutions, leveraging ML, emerged challenges access, stigma cost care. Despite potential, legal implications surrounding these technologies remain uncertain. This narrative literature review explores revolutionize digital while emphasizing need for ethical, responsible trustworthy algorithms. The guided three key research questions: technology integration, balance between benefits harms, mitigation bias prejudice applications. Methodologically, involves extensive database search engine searches, utilizing keywords related health. Peer-reviewed journal articles media sources were purposively selected questions, resulting comprehensive analysis current state knowledge this evolving topic. In conclusion, hold promise transforming but must navigate complex practical challenges. HAI principles, regulation scoping reviews are crucial maximizing minimizing risks. Collaborative approaches modern educational solutions may use mitigate biases applications, ensuring more inclusive effective landscape.

Язык: Английский

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The Collision of digital and green: Digital transformation and green economic efficiency

Journal of Environmental Management, Год журнала: 2023, Номер 351, С. 119906 - 119906

Опубликована: Дек. 28, 2023

Язык: Английский

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Transforming Public Finance Through GovTech

IMF staff discussion note, Год журнала: 2023, Номер 2023(004), С. 1 - 1

Опубликована: Сен. 1, 2023

Digital divide across countries and within continues to persist even increased when the quality of internet connection is considered. The note shows that many governments have not been able harness full potential digitalization. Governments could play important role facilitate digital adoption by intervening both on supply (investing in infrastructure) demand side (increase affordability). also documents significant dividends from for revenue collection spending efficiency, outcomes education, health social safety nets. emphasizes digitalization a substitute good governance comprehensive reform plans embedded National Strategies (NDS) combined with legal institutional reforms are needed ensure can reap benefits manage risks appropriately.

Язык: Английский

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When Product Markets Become Collective Traps: The Case of Social Media

Опубликована: Окт. 1, 2023

Individuals might experience negative utility from not consuming a popular product.For example, being inactive on social media can lead to exclusion or owning luxury brands be associated with having low status.We show that, in the presence of such spillovers non-users, standard measures that take aggregate consumption as given fail appropriately capture welfare.We propose new methodology measure welfare accounts for these spillovers, which we apply estimate consumer surplus two platforms, TikTok and Instagram.In large-scale, incentivized experiments college students, while suggests large positive surplus, our accounting indicates share active users deriving utility.We also shed light drivers non-users case this setting, "fear missing out" plays an important role.Our framework estimates highlight possibility product market traps, where shares consumers are trapped inefficient equilibrium would prefer exist.

Язык: Английский

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