Crowdsourcing systems which utilize the human intelligence to solve complex tasks have
gained considerable interest and adoption in recent years. However, the majority of existing …

This article looks at how the logic of big data analytics, which promotes an aura of
unchallenged objectivity to the algorithmic analysis of quantitative data, preempts …

Abstract Peer-to-Peer (P2P) network can be a promising big data application platform.
However, efficient data collection in network still faces a huge challenge in security. In this …

The aim of this research was to understand what affects people's privacy preferences in
smartphone apps. We ran a four-week study in the wild with 34 participants. Participants …

Data crowdsourcing is a distributed data acquisition method to efficiently collect a sizeable
amount of high-quality data from a large network of contributors who participate in data …

Images today are increasingly shared online on social networking sites such as Facebook,
Flickr, and Instagram. Image sharing occurs not only within a group of friends but also more …

With the CoViD-19 pandemic, location awareness technologies have seen renewed
interests due to the numerous contact tracking mobile application variants developed …

Nowadays cities invest more in their public services, and particularly digital ones, to improve
their resident's quality of life and attract more people. Thus, new crowdsourcing services …

Security and privacy pose a serious barrier to the use of mobile technology by older adults.
While support from family and friends is known to be an effective enabler in older adults' …

Today, the distribution of people with smart mobile devices has provided the opportunity for
mobile crowd sensing. Several mobile crowd sensing systems have led to the collection of …