Innovations in journalism :comparative research in five European Countries

Edition

-

ISBN/ISSN

9781032630410

Collation

-

Series Title

-

Call Number

-

Public interiority: exploring interiors in the public realm

Edition

-

ISBN/ISSN

9781003493501

Collation

-

Series Title

-

Call Number

-

Political behaviour in contemporary Finland: studies of voting and campaignin…

Part 1. The state of democracy -- Part 2. Elections, parties and candidates -- Part 3. Campaigning.

Creative work: conditions, contexts and practices

Edition

-

ISBN/ISSN

9781003402688

Collation

-

Series Title

-

Call Number

-

An introduction to quantitative text analysis for linguistics: reproducible r…

Edition

-

ISBN/ISSN

9781003393764

Collation

-

Series Title

-

Call Number

-

The self, civic virtue, and public life: interdisciplinary perspectives

Introduction / Nancy E. Snow -- Can Feelings of Authenticity Help to Guide Virtuous Behavior? -- Civic Virtues, Wisdom, and Psychological Resilience -- Personal Liberty, Mutual Respect and Tolerance: From Values to Virtues -- Good Citizenship and Sustainable

Industrial artificial intelligence technologies and applications

Edition

-

ISBN/ISSN

9781003377382

Collation

-

Series Title

-

Call Number

-

Digital culture and the hermeneutic tradition: suspicion, trust, and dialogue

Introduction1. The Familiar and the Strange: Rethinking Hermeneutics for the Digital2. Paranoid Readings of Toxic Memes: Suspicious Hermeneutics3. Hermeneutics of Faith4. Can We Talk? Dialogical Hermeneutics5. ConclusionsIndex

Complexity in second language study emotions: emergent sensemaking in social …

The emotionality of additional language learning -- From simplicity to complexity: recent explorations of L2 study emotions -- Interactions between the whole and parts in the emergence of L2 study feelings -- Focusing a small lens on experiential and discursive

xxAI - Beyond Explainable AI

Statistical machine learning (ML) has triggered a renaissance of artificial intelligence (AI). While the most successful ML models, including Deep Neural Networks (DNN), have developed better predictivity, they have become increasingly complex, at the expense of human interpretability (correlation vs. causality). The field of explainable AI (xAI) has emerged with the goal of creating tools and …