Algorithms that favor popular items are used to help us select among many choices, from top-
ranked search engine results to highly-cited scientific papers. The goal of these algorithms is …

The share of videos in the internet traffic has been growing, therefore understanding how
videos capture attention on a global scale is also of growing importance. Most current …

We propose a simple model of an idealized online cultural market in which N items,
endowed with a hidden quality metric, are recommended to users by a ranking algorithm …

Modern computational systems have an unprecedented ability to detect, leverage and
influence human attention. Prior work identified user engagement and dwell time as two key …

Unpredictability is often portrayed as an undesirable outcome of social influence in cultural
markets. Unpredictability stems from the" rich get richer" effect, whereby small fluctuations in …

This paper considers trial-offer markets where consumer preferences are modelled by a
multinomial logit with social influence and position bias. The social signal for a product is …

The recommendation system is usually faced with the problem of popularity bias, and the
collected interactive data often presents quite unbalanced or even long-tail distribution …

Social Learning from Online Reviews with Product Choice Page 1 Social Learning from Online
Reviews with Product Choice Stefano Vaccari Dipartimento di Economia e Finanza, LUISS …

This paper studies ranking policies in a stylized trial-offer marketplace model, in which a
single firm offers multiple products and has consumers who express heterogeneous …

In content-based online platforms, use of aggregate user feedback (say, the sum of votes) is
commonplace as the" gold standard" for measuring content quality. Use of vote aggregates …