Research output per year
Research output per year
Personal profile
Personal information
I am an interdisciplinary scientist by training, having received my M.Sc. in Artificial Intelligence from the University of Edinburgh and a joint Ph.D. in Artificial Intelligence and Communication Science from the VU Amsterdam. In the decade since being awarded a VENI grant on mediatized agenda setting, I have grown into a leading computational communication scientist, developing and using state of the art computational communication science techniques. Combining these computational techniques with traditional panel survey methods allows studying the effect of individual media diets, for example in the recent Dutch parliamentary elections.
I am co-Director of The Societal Analytics Lab at the Vrije Universiteit Amsterdam. I have also co-founded and chaired the Computational Methods division in our international scientific association ICA, and I founded and am editor-in-chief of a new open access journal Computational Communication Research published by Amsterdam University Press and sponsored by multiple international universities.
Research
My main research agenda is developing and applying the computational methods and tools needed to study media effects in a fragmented digital media landscape. As people consume news from an increasing number of traditional and social media sources, the field urgently needs to develop better ways to measure news consumption in order to study the effects of each person’s individual media diet. My research directly contributes to this development by furthering our pioneering work on data donation, where (fully informed and consenting) respondents donate a cleaned and minimized version of their social, mobile and digital news browsing history.
A second key methodological part of my research agenda is the introduction, adaptation and validation of methods from AI and computational linguistics into communication science research. Recent years have seen enormous gains in the development of attention models in deep learning, but these are only very slowly being used in the social sciences
A second key methodological part of my research agenda is the introduction, adaptation and validation of methods from AI and computational linguistics into communication science research. Recent years have seen enormous gains in the development of attention models in deep learning, but these are only very slowly being used in the social sciences
Ancillary activities
- La Jupe Sauvage | Amsterdam | Partner | 2017-01-01 - present
- Stichting Computational Communication Research | Amsterdam | Bestuurder | 2021-11-01 - present
Ancillary activities are updated daily
Expertise related to UN Sustainable Development Goals
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):
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Collaborations and top research areas from the last five years
Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
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How shared ties and journalistic cultures shape global news coverage of disruptive media events: the case of the 9/11 terror attacks
Jungblut, M., Althaus, S., Bajjalieh, J., Chan, C. H., Welbers, K., Van Atteveldt, W. & Wessler, H., Jun 2024, In: Journal of Communication. 74, 3, p. 183-197 15 p.Research output: Contribution to Journal › Article › Academic › peer-review
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Less Annotating, More Classifying: Addressing the Data Scarcity Issue of Supervised Machine Learning with Deep Transfer Learning and BERT-NLI
Laurer, M., Van Atteveldt, W., Casas, A. & Welbers, K., Jan 2024, In: Political Analysis. 32, 1, p. 84-100 17 p.Research output: Contribution to Journal › Article › Academic › peer-review
Open Access -
Advancing Automated Content Analysis for a New Era of Media Effects Research: The Key Role of Transfer Learning
Kroon, A., Welbers, K., Trilling, D. & van Atteveldt, W., 2024, In: Communication Methods and Measures. 18, 2, p. 142-162 21 p.Research output: Contribution to Journal › Article › Academic › peer-review
Open Access -
Integrating Communication Science and Computational Methods to Study Content-Based Social Media Effects
Pouwels, J. L., Araujo, T., van Atteveldt, W., Bachl, M. & Valkenburg, P. M., 2024, In: Communication Methods and Measures. 18, 2, p. 115-123 9 p.Research output: Contribution to Journal › Article › Academic › peer-review
Open Access -
Nudging News Readers: A Mixed-Methods Approach to Understanding When and How Interface Nudges Affect News Selection
Mattis, N., Groot Kormelink, T., Masur, P. K., Moeller, J. & van Atteveldt, W., 2024, (Accepted/In press) In: Digital Journalism.Research output: Contribution to Journal › Article › Academic › peer-review
Open Access
Courses
Projects
- 1 Active
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Digital Data Donation Infrastructure (D3I)
Welbers, K., Groot Kormelink, T. & van Atteveldt, W.
1/03/22 → 28/02/25
Project: Research
Activities
- 1 Lecture / Presentation
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Nudging towards diversity: A theoretical framework for facilitating diverse news consumption through recommender design
Nicolas Michael Mattis (Speaker), Philipp K. Masur (Speaker), Judith Moeller (Speaker) & Wouter van Atteveldt (Speaker)
2022Activity: Lecture / Presentation › Academic
Prizes
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Network Institute Academy Assistant project: the Who is who in the Psalms?
van Peursen, Willem (Recipient), van Atteveldt, Wouter (Recipient) & Erwich, C.M. (Recipient), 2014
Prize / Grant: Prize › Academic
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NWO PhDs in the Humanities: Who is Who in the Psalms? A Computational Analysis of Participants and Their Networks (C.M. Erwich)
van Peursen, Willem (Recipient), van Atteveldt, Wouter (Recipient) & Erwich, C.M. (Recipient), 2015
Prize / Grant: Grant › Academic
Datasets
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Partial priming: how issue news shapes issue saliency, which shapes turnout but not the vote
Kleinnijenhuis, J. (Contributor) & van Atteveldt, W. (Contributor), Unknown Publisher, 1 Jan 2018
DOI: 10.34894/30gz1m, https://doi.org/10.34894%2F30gz1m
Dataset