H
Henri Beunders
Researcher at Erasmus University Rotterdam
Publications - 9
Citations - 196
Henri Beunders is an academic researcher from Erasmus University Rotterdam. The author has contributed to research in topics: Web 2.0 & Linked data. The author has an hindex of 5, co-authored 8 publications receiving 177 citations. Previous affiliations of Henri Beunders include University of Zagreb.
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Journal ArticleDOI
New Media, Micromobilization, and Political Agenda Setting: Crossover Effects in Political Mobilization and Media Usage
TL;DR: In this “1040-hour norm” case study, the authors analyze how the course of the political agenda-setting process is being transformed through the interplay between processes of meso- and micromobilization, and through new micro-to-mass media crossover effects.
Journal ArticleDOI
The debates of the European Parliament as Linked Open Data
TL;DR: LinkedEP, a Linked Open Data translation of the verbatim reports of the plenary meetings of the European Parliament is presented, making it possible to combine in one query the time and topic of the debate, the spoken words - in any available translation - and information about the speaker uttering these.
Journal ArticleDOI
Caught By Surprise?: Micro-mobilization, new media and the management of strategic surprises
TL;DR: In this article, the authors consider two cases of Web 2.0 driven micro-mobilization processes and show that new network technology helped the process of issue-expansion on which the emergence of these strategic surprises is dependent.
PoliMedia. Analysing Media Coverage of political debates by automatically generated links to Radio & Newspaper Items
Martijn Kleppe,Laura Hollink,Max Kemman,Damir Juric,Henri Beunders,Jaap Blom,Johan Oomen,Geert-Jan Houben +7 more
TL;DR: PoliMedia aims to stimulate and facilitate large-scale, cross-media analysis of the coverage of political events, and provides automatically generated links between the transcripts of those meetings, newspaper articles, including their original lay-out on the page, and radio bulletins.
Proceedings ArticleDOI
Who are the users of a video search system? Classifying a heterogeneous group with a profile matrix
TL;DR: In this paper, a Profile Matrix is proposed to classify users by placing users on two axes: experience and goal-directedness, which enables them to describe the characteristics of the subgroups and investigate differences between the different groups.