Simulating Sample Size Effects

Simulate and plot data in R to see the effects of sample size differences Results: https://twitter.com/MoritzBuchi/status/1394967444209471488 library(truncnorm) # modified version of rnorm() to allow min and max specification n <- 20 # base n f <- 1:75 # sample size multiplication vector N <- n * f # vector of 75 different sample sizes (20 … Continue reading Simulating Sample Size Effects

Quantifying Internet Use

This post summarizes key findings from our article How Long and What For? Tracking a Nationally Representative Sample to Quantify Internet Use published in the Journal of Quantitative Description: Digital Media. Read more about this new journal here. The internet is increasingly used across multiple devices, often on the go, and very much integrated into … Continue reading Quantifying Internet Use

AI for Civil Society Participation in Policy-Making: A Digital Inequality Perspective

Update: Workshop proceedings published This post is an adaptation of an invited presentation given at the Workshop on Artificial Intelligence and Civil Society Participation in Policy-Making Processes in December 2020, hosted by the Global Studies Institute, University of Geneva. Under what conditions can artificial intelligence support the participation of civil society in policy-making? AI is … Continue reading AI for Civil Society Participation in Policy-Making: A Digital Inequality Perspective

Smartphone Use and Academic Performance: A Pervasiveness Approach Beyond Addiction

Update: Article published New preprint posted with Tiziano Gerosa and Marco Gui: https://osf.io/preprints/socarxiv/up9xm In adolescents' everyday lives, critical moments for social and physiological well-being include sleep, school, time with friends, meals,… -- smartphones are often constant companions. Is that "problematic"? Instead of imposing an addiction frame, the new pervasiveness scale (Smartphone Pervasiveness Scale for adolescents … Continue reading Smartphone Use and Academic Performance: A Pervasiveness Approach Beyond Addiction

Journals for Open Media and Communication Research

If you’re looking for a journal that supports open science in communication and media research through open access, registered reports etc., we started a list. View and comment on the latest version here or download a static PDF here. Open media and communication research has many more aspects – see, for example, this summary by … Continue reading Journals for Open Media and Communication Research

How the Participation Gap Biases Group Evaluation

It is misleading to use the top performing individuals to compare groups of unequal sizes. Say you wanted to know whether men or women are better at chess or which country has the best athletes; using the top performers as representatives for each group (gender or country) would bias the evaluation simply because of group … Continue reading How the Participation Gap Biases Group Evaluation

On Digital Inequalities and Well-Being Research

In this video, which is part of a series of short interviews with the international partners of the From Digital Skills to Tangible Outcomes (DiSTO) project, Dr Moritz Büchi (University of Zürich) summarises his research agenda and shares some surprising insights from his study on digital inequalities and well-being. https://www.youtube.com/watch?v=Q3nNB7m7ic4

Towards Theories of Digital Well-Being

Update 3: Paper published Update 2: Preprint posted Update 1: Video Abstract https://www.youtube.com/watch?v=d-GwpXr5Vio How can we live a good life both thanks to and despite the constant use of digital ICTs? A theoretical framework, Digital Well-Being Theory, is outlined that focuses on the mechanisms between digital ICT use and well-being by analyzing concomitant harms and … Continue reading Towards Theories of Digital Well-Being

“Predicting” Crime with Opaque Automated Systems

My contribution to this paper on predicting life outcomes was a model that predicted the "material hardship" variable and performed better than the baseline model even though, and this was the point, the selected predictor variables made absolutely no theoretical sense, i.e., they had no plausible causal connection to the outcome, they just happened to … Continue reading “Predicting” Crime with Opaque Automated Systems