Monetary Policy Transparency in Inflation Targeting Countries: the Czech Republic, Hungary and Poland

This paper quantifies transparency of monetary policy in the three EU New Member States that have adopted direct inflation targeting strategy. Two measures of transparency are applied. The institutional measure reflects the extent to which a central bank discloses information that is related to the policymaking process. The behavioural measure reflects the clarity among the financial market participants about the true course of monetary policy. The paper shows an ambiguous association between the two measures of transparency, which may be attributed to the active exchange rate management policy that undermines the actual transparency proxied by the behavioural measure.monetary policy, institutional and behavioural transparency, direct inflation targeting, EU New Member States, European Monetary Union

False News On Social Media: A Data-Driven Survey

In the past few years, the research community has dedicated growing interest to the issue of false news circulating on social networks. The widespread attention on detecting and characterizing false news has been motivated by considerable backlashes of this threat against the real world. As a matter of fact, social media platforms exhibit peculiar characteristics, with respect to traditional news outlets, which have been particularly favorable to the proliferation of deceptive information. They also present unique challenges for all kind of potential interventions on the subject. As this issue becomes of global concern, it is also gaining more attention in academia. The aim of this survey is to offer a comprehensive study on the recent advances in terms of detection, characterization and mitigation of false news that propagate on social media, as well as the challenges and the open questions that await future research on the field. We use a data-driven approach, focusing on a classification of the features that are used in each study to characterize false information and on the datasets used for instructing classification methods. At the end of the survey, we highlight emerging approaches that look most promising for addressing false news

The Hitchhiker\u27s Guide to the Long Tail: The Influence of Online-Reviews and Product Recommendations on Book Sales - Evidence from German Online Retailing

Exploring the long tail phenomenon, we empirically analyze whether online reviews, discussion forums, and product recommendations help to reduce search costs and actually alter the sales distribution in online book retailing. We have collected a data set containing 320,248 observations for 40,031 different books at Amazon.de, each assigned to one of 111 different product categories in our sample. By adopting an innovative approach, we provide the first long tail conversion model for the German online market, based on publicly available sales data. Our results indicate that online reviews and automated product recommendations reduce search costs by facilitating the identification of adequate books and the assessment of their quality. This highlights the relevance of information technology implementation as vital part of the marketing strategy