Detection and resolution of rumours in social media: A survey
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 …
unmoderated nature often leads to the emergence and spread of rumours, ie, items of …
Machine knowledge: Creation and curation of comprehensive knowledge bases
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 …
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 …
Empfehlungen aufgerufen. Als promi nentes Praxisbeispiel für das Crowdvoting ist Amazon …
Fedvision: An online visual object detection platform powered by federated learning
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 …
has many practical applications (eg, fire hazard monitoring). However, due to privacy …
[BUCH][B] Human-robot interaction: An introduction
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 …
issues surrounding the relationship between robots and humans. This introduction to human …
[BUCH][B] Crowdsourcing information systems-definition typology, and design
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 …
open crowds of people external to the organization. While crowdsourcing as a phenomenon …
A fairness-aware incentive scheme for federated learning
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 …
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
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 …
Malicious URLs host unsolicited content (spam, phishing, drive-by exploits, etc.) and lure …
Business intelligence and analytics: From big data to big impact
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 …
both practitioners and researchers, reflecting the magnitude and impact of data-related …
Gamified crowdsourcing: Conceptualization, literature review, and future agenda
Two parallel phenomena are gaining attention in human–computer interaction research:
gamification and crowdsourcing. Because crowdsourcing's success depends on a mass of …
gamification and crowdsourcing. Because crowdsourcing's success depends on a mass of …