Element 68Element 45Element 44Element 63Element 64Element 43Element 41Element 46Element 47Element 69Element 76Element 62Element 61Element 81Element 82Element 50Element 52Element 79Element 79Element 7Element 8Element 73Element 74Element 17Element 16Element 75Element 13Element 12Element 14Element 15Element 31Element 32Element 59Element 58Element 71Element 70Element 88Element 88Element 56Element 57Element 54Element 55Element 18Element 20Element 23Element 65Element 21Element 22iconsiconsElement 83iconsiconsiconsiconsiconsiconsiconsiconsiconsiconsiconsiconsiconsiconsiconsiconsiconsiconsiconsiconsiconsiconsiconsiconsiconsElement 84iconsiconsElement 36Element 35Element 1Element 27Element 28Element 30Element 29Element 24Element 25Element 2Element 1Element 66
Algorithms in Digital Media and Their Influence on Opinion Formation

Algorithms in Digital Media and Their Influence on Opinion Formation

Algorithms have a significant influence on the selection, prioritisation and arrangement of media content online. You decide, for instance, what websites are in fact relevant for a search request and in what order the results should be shown. The user’s behaviour will be included in this process as well. Personalised algorithms decide on the selection of messages (and advertisement) that users will see. A direct influence on opinion formation cannot be deduced from it but there is a certain potential for influencing users.
show more

Project Description

The Office of Technology Assessment at the German Bundestag (TAB) commissioned the Hans-Bredow-Institut with a report on the topic of “Auswirkungen auf die individuelle Meinungsbildung bei Nutzenden [Effects on Individual Opinion Formation of Users]“ within the TA-project “Algorithmen in digitalen Medien und ihr Einfluss auf die Meinungsbildung [Algorithms in Digital Media and Their Influence on Opinion Formation]“. In May 2018, the research team will send their report to TAB who will summarise it with further expert opinions to a final report.

This report has three scientific objectives:
  1. To systematise algorithmic effects on processes of information selection, to classify the context of other mechanisms of information behaviour and to determine the relevance for individual and public opinion formation based on the available state of research
  2. To determine the meaning of algorithmic selection for information behaviour from different perspectives and with different methods based on own empirical studies. For this purpose, we will conduct secondary analyses of the Reuters Institute Digital News Survey along with qualitative studies on intermediaries and opinion formation. There will be also analyses based on the “Datenspende [Collection of Data]”-project (Algorithmwatch), which provides an insight into the algorithmic personalisation of search results on Google and news recommendations on Google News, and the project “Robin” (University of Amsterdam) in order to assess the personalisation of Facebook News Feeds.
  3. To combine the findings from the systematic analysis of the state of research and our own empirical analyses and, on this basis, to identify regulatory problem areas and provide initial recommendations for action.

Project Information

Overview

Duration: 2017-2018

Research programme:
RP1 - Transformation of Public Communication

Third party

Ausschuss für Bildung, Forschung und Technikfolgenabschätzung des Deutschen Bundestags

Cooperation Partner

Thilo Böhmann und Judith Simon, Fachbereich Informatik, Universität Hamburg
 

Contact person

Dr. Jan-Hinrik Schmidt
Senior Researcher Digital Interactive Media & Political Communication

Dr. Jan-Hinrik Schmidt

Leibniz-Institut für Medienforschung | Hans-Bredow-Institut (HBI)
Rothenbaumchaussee 36
20148 Hamburg

Tel. +49 (0)40 45 02 17-83
Fax +49 (0)40 45 02 17-77

Send Mail

MAYBE YOU ARE ALSO INTERESTED IN THESE TOPICS?

Newsletter

Subscribe to our newsletter and receive the Institute's latest news via email.

SUBSCRIBE!