Sankar Kumar Mridha

Indian Institute of Engineering Science and Technology, Shibpur | IIEST · Department of Information Technology

With the rapid development of social platforms and human activities, people are now interested to solve their problems with the help of the social crowd-powered system. So, crowdsourcing has become a promising way of solving problems in a distributed manner within a specific time. Crowd workers pick up a task (simple or complex) and solve it with c...

The recent pandemic of COVID-19 has not only shaken the healthcare but also economic structure around the world. In addition to these direct effects, it has also brought in some indirect difficulties owing to the information epidemic (hereafter termed as infodemic) on social media. We aimed to understand the nature of panic social media users in In...

With the rapid development of social platforms and human activities, people are now interested to solve problems with the help of social and crowd-powered systems. Crowd- sourcing is a powerful virtual tool to solve any kind of task (simple and complex) with the help of crowd intelligence. This approach provides a better way of solving micro- tasks...

Often in competitive crowdsourcing, tasks are decomposable and they require diverse skills. Hence, it becomes challenging for a single worker to solve the task. We address the problem of matching co-workers in such scenarios. We propose a model that suggests task-specific co-worker(s) to a worker by matching skills. It also ensures the quality of t...

AimsThe recent pandemic of COVID-19 has not only shaken the healthcare but also economic structure around the world. In addition to these direct effects, it has also brought in some indirect difficulties owing to the information epidemic on social media. As India experienced a later outbreak of COVID-19 and a prolonged uninterrupted lockdown, we ai...

The recent significant growth of social media has brought the attention of researchers toward monitoring the enormous amount of streaming data using real-time approaches. This data may appear in different forms like streaming text, images, audio, videos, etc. In this paper, we address the problem of deciding the appropriateness of streaming videos...

Crowdsourcing is a promising way of solving problems in a distributed manner within a stipulated time. The working principle of crowdsourcing platforms can be either competitive or collaborative. In both of this, crowd workers (solvers) get a remuneration either predecided through bidding or preannounced by the requester (task provider). Even being...

If a task is decomposable in a competitive crowdsourcing environment, thereby allowing collaboration, rational workers may choose to divide it into multiple sub-tasks among themselves. But as the winners are selected independently, there is no benefit out of this decomposition. We show that by the appropriate combination of such decomposed solution...

Crowd-powered systems have recently emerged as useful models for solving complex tasks online by combining machine intelligence with crowd intelligence. These models are mainly of two types - collaborative and competitive. Studying the behavior of the participating crowd workers and requester experiences might yield useful insights about both these...

The working principle of crowd in a crowdsourcing platform is either competitive or collaborative. Occasionally, the tasks submitted to crowdsourcing environments are decomposable. They are challenging to solve because decomposition and composition of tasks and proper selection of workers are difficult. We show that by appropriate inclusion of coll...

Due to the significant growth of social networking and human activities through the web in recent years, attention to analyzing big data using real-time crowdsourcing has increased. This data may appear in the form of streaming images, audio or videos. In this paper, we address the problem of deciding the appropriateness of streaming videos in publ...

Due to the significant growth of social networking and human activities through the web in recent years, attention to analyzing big data using real-time crowdsourcing has increased. This data may appear in the form of streaming images, audio or videos. In this paper, we address the problem of deciding the appropriateness of streaming videos in publ...

Competitive crowdsourcing is a popular strategic model for solving tasks in an efficient economical way. Competitive crowdsourcing platforms generally choose the winners for a single indivisible task following the conventional Dutch auction to minimize the cost. In this paper, we show that when the tasks are decomposable such mechanisms become bias...

Competitive crowdsourcing is a popular strategic model for solving tasks in an efficient economical way. Competitive crowdsourcing platforms generally choose the winners for a single indivisible task following the conventional Dutch auction to minimize the cost. In this paper, we show that when the tasks are decomposable such mechanisms become bias...

Appropriate inclusion of collaboration in a competitive crowd-sourcing environment is promising but challenging. We study the feasibility of this with the stimulus of curiosity. Overview Crowdsourcing markets are often controlled with efficient mechanism designs. The incentives driving such mechanisms are of diverse types. Some of these include di-...

Social media has emerged as an imperative tool for addressing many real-life problems in an innovative way in recent years. Traffic management is a demanding problem for any populous city in the world. In the current paper, we explore how the dynamic data from social media can be employed for continuous traffic monitoring of cities in a better way....