[PDF][PDF] Why do investors buy structured products? A behavioral finance explanation

D Helberger - Journal of Wealth Management, 2012 - dominik-helberger.com
… The dissertation on which this article is based discusses additional types of participation
products (see Helberger [2009]), which are frequently mentioned in the literature (for example, …

Countering algorithmic bias and disinformation and effectively harnessing the power of AI in media

…, D Trielli, N Diakopoulos, N Helberger… - Journalism & Mass …, 2022 - journals.sagepub.com
… Their key arguments resonate with Helberger, Lewis, and Westlund’s views. … D., Paderborn
University) holds a full professorship for Business Administration at Jade University. She …

[HTML][HTML] Shrinking core? Exploring the differential agenda setting power of traditional and personalized news media

J Moeller, D Trilling, N Helberger, K Irion, C De Vreese - info, 2016 - emerald.com
… Then, for each Day d, we calculated the frequencies with which each news event or topic …
values of the day itself), thus on d, d − 1 and d − 2. These frequencies where transformed into …

How big is the shadow economy?: A re-analysis of the unobserved-variable approach of BS Frey and H. Weck-Hannemann

C Helberger, H Knepel - European Economic Review, 1988 - Elsevier
In a widely quoted study BS Frey and H. Weck-Hannemann estimated the size and the
development of the shadow economy in 17 countries by means of the latent-variable approach. A …

Spiraling downward: The reciprocal relation between attitude toward political behavioral targeting and privacy concerns

T Dobber, D Trilling, N Helberger… - new media & …, 2019 - journals.sagepub.com
Tailored political messages are increasingly prevalent in election time, but we know little about
how people perceive such data-driven and potentially privacy-infringing techniques. This …

We are what we click: Understanding time and content-based habits of online news readers

M Makhortykh, C De Vreese, N Helberger… - new media & …, 2021 - journals.sagepub.com
The article contributes both conceptually and methodologically to the study of online news
consumption by introducing new approaches to measuring user information behaviour and …

Do not blame it on the algorithm: an empirical assessment of multiple recommender systems and their impact on content diversity

J Möller, D Trilling, N Helberger… - Digital media, political …, 2020 - taylorfrancis.com
… , and as each document D is represented by a vector wD of 50 topic weights wD,1 ··· wD,50, …
and the changing role of the user in information law and policy [email: n.helberger@uva.nl]. …

[HTML][HTML] Should we worry about filter bubbles?

…, B Bodó, CH De Vreese, N Helberger - Internet policy …, 2016 - policyreview.info
… base, and exposure to diverse information (Helberger, Kleinen-von Königslöw, & Van der
Noll, 2015). … can also be used to help users make more diverse choices (Helberger, 2011). …

Governing online platforms: From contested to cooperative responsibility

N Helberger, J Pierson, T Poell - The information society, 2018 - Taylor & Francis
Online platforms, from Facebook to Twitter, and from Coursera to Uber, have become
deeply involved in a wide range of public activities, including journalism, civic engagement, …

Building human values into recommender systems: An interdisciplinary synthesis

…, A Zhang, M Andrus, N Helberger… - ACM Transactions on …, 2022 - dl.acm.org
Recommender systems are the algorithms which select, filter, and personalize content across
many of the world's largest platforms and apps. As such, their positive and negative effects …