Zobrazeno 1 - 10
of 164
pro vyhledávání: '"Capra, Licia"'
Violence and armed conflicts have emerged as prominent factors driving food crises. However, the extent of their impact remains largely unexplored. This paper provides an in-depth analysis of the impact of violent conflicts on food security in Africa
Externí odkaz:
http://arxiv.org/abs/2410.22342
Reports from the Famine Early Warning Systems Network (FEWSNET) serve as the benchmark for food security predictions which is crucial for stakeholders in planning interventions and support people in need. This paper assesses the predictive accuracy o
Externí odkaz:
http://arxiv.org/abs/2410.09384
AI regulations are expected to prohibit machine learning models from using sensitive attributes during training. However, the latest Natural Language Processing (NLP) classifiers, which rely on deep learning, operate as black-box systems, complicatin
Externí odkaz:
http://arxiv.org/abs/2407.01697
Past research has attributed the online circulation of misinformation to two main factors - individual characteristics (e.g., a person's information literacy) and social media effects (e.g., algorithm-mediated information diffusion) - and has overloo
Externí odkaz:
http://arxiv.org/abs/2205.10161
Insider Stories: Analyzing Internal Sustainability Efforts of Major US Companies from Online Reviews
It is hard to establish whether a company supports internal sustainability efforts (ISEs) like gender equality, diversity, and general staff welfare, not least because of lack of methodologies operationalizing these internal sustainability practices,
Externí odkaz:
http://arxiv.org/abs/2205.01217
Airbnb is one of the most successful examples of sharing economy marketplaces. With rapid and global market penetration, understanding its attractiveness and evolving growth opportunities is key to plan business decision making. There is an ongoing d
Externí odkaz:
http://arxiv.org/abs/2004.11604
Akademický článek
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Publikováno v:
In Energy for Sustainable Development October 2023 76
Publikováno v:
EPJ Data Science 8:11 (2019)
How diverse are sharing economy platforms? Are they fair marketplaces, where all participants operate on a level playing field, or are they large-scale online aggregators of offline human biases? Often portrayed as easy-to-access digital spaces whose
Externí odkaz:
http://arxiv.org/abs/1811.06397
In this paper, we investigate whether text from a Community Question Answering (QA) platform can be used to predict and describe real-world attributes. We experiment with predicting a wide range of 62 demographic attributes for neighbourhoods of Lond
Externí odkaz:
http://arxiv.org/abs/1701.04653