Algorithms on the internet govern our lives and our realities (Just & Latzer, 2017). They change our perception of the world and affect our behavior by influencing our choices. Consider the selection of online information via search engines, of music and video entertainment content via...

This Article considers the intersection of the piracy paradox in the context of the attention economy, the algorithmic behavior of content platforms, and intellectual property’s incentive theory. This inquiry is framed by a micro-history of a micro-dispute between two micro-celebrities about a...

The aim of our model is to leverage recurrent neural networks to predict the trends of stocks traded on India’s National Stock Exchange. By integrating an analysis of the stock’s historic price, and the contemporary market sentiment of the parent company, we endeavored to build a model that...

Social media platforms employ inferential analytics methods to guess user preferences and may include sensitive attributes such as race, gender, sexual orientation, and political opinions. These methods are often opaque, but they can have significant effects such as predicting behaviors for...

Some countries have announced national benchmark rates while some others have been working on the recent trend in which the London Interbank Offered Rate (LIBOR) will be retired at the end of 2021. Considering that Turkey announced the Turkish Lira Overnight Reference Interest Rate (TLREF), this...

Despite several advantages of borrowing from Self Help Groups (SHGs), why do many enterprises in India, still rely on informal lenders (MoSPI, 2020)? To answer this question, we develop a novel enterprise-village matched dataset and use a variety of Machine Learning methods to predict the choice...

By successfully solving the problem of forecasting, the processes in the work of various companies are optimized and savings are achieved. In this process, the analysis of time series data is of particular importance. Since the creation of Facebook’s Prophet, and Amazon’s DeepAR+ and CNN-QR...

A new algorithm for the group minimization problem (GP) is proposed. The algorithm can be broadly described as follows. A suitable relaxation of(GP) is defined, in which any feasible point satisfies the group equation but may have negative components. The feasible points of the relaxation are...

It is claimed that robots, algorithms and artificial intelligence are going to destroy jobs on an unprecedented scale. These developments, unlike past bouts of technical change, threaten rapidly to affect even highly-skilled work and lead to mass unemployment and/or dramatic falls in wages and...

We explore aversion to the use of algorithms in moral decision-making. So far, this aversion has been explained mainly by the fear of opaque decisions that are potentially biased. Using incentivized experiments, we study which role the desire for human discretion in moral decision-making plays....