Detection and resolution of rumours in social media: A survey

A Zubiaga, A Aker, K Bontcheva, M Liakata… - Acm Computing Surveys …, 2018 - dl.acm.org
Despite the increasing use of social media platforms for information and news gathering, its
unmoderated nature often leads to the emergence and spread of rumours, ie, items of …

Machine knowledge: Creation and curation of comprehensive knowledge bases

G Weikum, XL Dong, S Razniewski… - … and Trends® in …, 2021 - nowpublishers.com
Equip** machines with comprehensive knowledge of the world's entities and their
relationships has been a longstanding goal of AI. Over the last decade, large-scale …

Crowdsourcing: Crowdfunding, crowdvoting, crowdcreation

JM Leimeister - Controlling & Management, 2012 - Springer
Beim Crowdvoting wird die Crowd zu Be wertungen, Abstimmungen, Meinungen oder
Empfehlungen aufgerufen. Als promi nentes Praxisbeispiel für das Crowdvoting ist Amazon …

Fedvision: An online visual object detection platform powered by federated learning

Y Liu, A Huang, Y Luo, H Huang, Y Liu… - Proceedings of the …, 2020 - ojs.aaai.org
Visual object detection is a computer vision-based artificial intelligence (AI) technique which
has many practical applications (eg, fire hazard monitoring). However, due to privacy …

[BUCH][B] Human-robot interaction: An introduction

C Bartneck, T Belpaeme, F Eyssel, T Kanda, M Keijsers… - 2024 - books.google.com
The role of robots in society keeps expanding and diversifying, bringing with it a host of
issues surrounding the relationship between robots and humans. This introduction to human …

[BUCH][B] Crowdsourcing information systems-definition typology, and design

D Geiger, M Rosemann, E Fielt, M Schader - 2012 - madoc.bib.uni-mannheim.de
Crowdsourcing has become a popular approach for capitalizing on the potential of large and
open crowds of people external to the organization. While crowdsourcing as a phenomenon …

A fairness-aware incentive scheme for federated learning

H Yu, Z Liu, Y Liu, T Chen, M Cong, X Weng… - Proceedings of the …, 2020 - dl.acm.org
In federated learning (FL), data owners" share" their local data in a privacy preserving
manner in order to build a federated model, which in turn, can be used to generate revenues …

Malicious URL detection using machine learning: A survey

D Sahoo, C Liu, SCH Hoi - arxiv preprint arxiv:1701.07179, 2017 - arxiv.org
Malicious URL, aka malicious website, is a common and serious threat to cybersecurity.
Malicious URLs host unsolicited content (spam, phishing, drive-by exploits, etc.) and lure …

Business intelligence and analytics: From big data to big impact

H Chen, RHL Chiang, VC Storey - MIS quarterly, 2012 - JSTOR
Business intelligence and analytics (BI&A) has emerged as an important area of study for
both practitioners and researchers, reflecting the magnitude and impact of data-related …

Gamified crowdsourcing: Conceptualization, literature review, and future agenda

B Morschheuser, J Hamari, J Koivisto… - International Journal of …, 2017 - Elsevier
Two parallel phenomena are gaining attention in human–computer interaction research:
gamification and crowdsourcing. Because crowdsourcing's success depends on a mass of …