At the beginning of February, several ICDS-members presented their latest research at “Etmaal van de Communicatiewetenschap”, the annual conference for communication science scholars in the Netherlands, Flanders and beyond, which was hosted by the Amsterdam School of Communication Research of the University of Amsterdam. Brahim Zarouali presented his research on the Algorithmic Media Content Awareness scale and chatbots as data collection engines:
Is this recommended by an algorithm? The development and validation of the Algorithmic Media Content Awareness scale (AMCA-scale). Brahim Zarouali, Sophie Boerman and Claes de Vreese
In this presentation, Brahim discussed a project conducted together with Sophie Boerman and Claes de Vreese. They developed and validated the Algorithmic Media Content Awareness Scale (AMCA-scale). This scale contains four underlying dimensions: 1) users’ awareness of content filtering, 2) users’ awareness of automated decision-making, 3) users’ awareness of human-algorithm interplay, and 4) users’ awareness of ethical considerations. In validating the scale, results revealed strong psychometrics properties. The AMCA-scale was also successfully tested for three different media platforms: Netflix, Facebook, and YouTube, showing its robustness over different contexts. Based on these findings, we conclude that the AMCA-scale offers scholars a valid, reliable and robust tool to measure algorithmic awareness.
Open Science for (automated) private interactions: Chatbots as (open) data collection engines. Theo Araujo, Brahim Zarouali, Jakob Ohme and Claes de Vreese
In this presentation, Brahim presented an ongoing project about chatbots as data collection engines. This project involves Theo Araujo, Jakob Ohme and Claes de Vreese. More precisely, the researchers try to explore the possibilities of using chatbots as a method to collect data among participants on private messaging apps (as an alternative to surveys). Important focus lies on how this method can be reconciled with safeguarding user privacy. Finally, this project also aims to develop this method in the light of an open science framework.
Other ICDS-members presented their ongoing studies about news recommender systems, open science and persuasive & political communication:
- Deepfakes, real effects on political behavior? Tom Dobber, Nadia Metoui, Damian Trilling, Natali Helberger and Claes de Vreese
- Empowerment through technical and legal knowledge to reject tracking cookies. Joanna Strycharz, Guda van Noort, Natali Helberger and Edith Smit
- The effects of news exposure on turnout intention during the 2019 European Parliamentary elections: A Nu.nl experiment in the Netherlands. Daniëlle de Boer and Claes de Vreese
- Perceived control and satisfaction in news recommender systems. Felicia Lockerbach, Judith Möller, Damian Trilling, Wouter van Atteveldt and Natali Helberger
- How to develop an open-source proof of concept. Judith Möller