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Marijn ten Thij
Marijn ten Thij
Assistant Professor
Verified email at maastrichtuniversity.nl - Homepage
Title
Cited by
Cited by
Year
Social media insights into US mental health during the COVID-19 pandemic: Longitudinal analysis of Twitter data
D Valdez, M Ten Thij, K Bathina, LA Rutter, J Bollen
Journal of medical Internet research 22 (12), e21418, 2020
1322020
Individuals with depression express more distorted thinking on social media
KC Bathina, M Ten Thij, L Lorenzo-Luaces, LA Rutter, J Bollen
Nature human behaviour 5 (4), 458-466, 2021
562021
Historical language records reveal a surge of cognitive distortions in recent decades
J Bollen, M Ten Thij, F Breithaupt, ATJ Barron, LA Rutter, ...
Proceedings of the National Academy of Sciences 118 (30), e2102061118, 2021
212021
Circadian Patterns in Twitter
M ten Thij, S Bhulai, P Kampstra
DATA ANALYTICS 2014, The Third International Conference on Data Analytics†…, 2014
212014
Modelling of trends in twitter using retweet graph dynamics
M ten Thij, T Ouboter, D Worm, N Litvak, H van den Berg, S Bhulai
International Workshop on Algorithms and Models for the Web-Graph, 132-147, 2014
192014
Depression alters the circadian pattern of online activity
M Ten Thij, K Bathina, LA Rutter, L Lorenzo-Luaces, IA van de Leemput, ...
Scientific reports 10 (1), 1-10, 2020
172020
Modeling page-view dynamics on Wikipedia
M ten Thij, Y Volkovich, D Laniado, A Kaltenbrunner
arXiv e-prints, arXiv: 1212.5943, 2012
17*2012
Declining well-being during the COVID-19 pandemic reveals US social inequities
KC Bathina, M Ten Thij, D Valdez, LA Rutter, J Bollen
PloS one 16 (7), e0254114, 2021
142021
Modelling trend progression through an extension of the polya urn process
M Thij, S Bhulai
International Conference and School on Network Science, 57-67, 2016
62016
Twitter analytics for the horticulture industry
M ten Thij, S Bhulai, W van den Berg, H Zwinkels
DATA ANALYTICS 2016, 87, 2016
32016
Modelling trends in social media-Application and analysis using random graphs
M ten Thij
University of Twente, 2013
22013
Collective attention patterns under controlled conditions
M Ten Thij, A Kaltenbrunner, D Laniado, Y Volkovich
Online Social Networks and Media 13, 100047, 2019
12019
Assessing rigid modes of thinking in self-declared abortion ideology: natural language processing insights from an online pilot qualitative study on abortion attitudes
D Valdez, KN Jozkowski, K Haus, M Ten Thij, BL Crawford, ...
Pilot and Feasibility Studies 8 (1), 1-14, 2022
2022
Quantifying societal emotional resilience to natural disasters from geo-located social media content
K Bathina, M Ten Thij, J Bollen
PLoS one 17 (6), e0269315, 2022
2022
Quantifying changes in societal optimism from online sentiment
C Isch, M Ten Thij, PM Todd, J Bollen
Behavior research methods, 1-9, 2022
2022
Beyond Risk: Individual Mental Health Trajectories from Large-Scale Social Media Data
J Bollen, M ten Thij, L Lorenzo-Luaces, LA Rutter
Early Detection of Mental Health Disorders by Social Media Monitoring, 265-287, 2022
2022
Reply to Schmidt et al.: A robust surge of cognitive distortions in historical language
J Bollen, M Ten Thij, F Breithaupt, ATJ Barron, LA Rutter, ...
Proceedings of the National Academy of Sciences 118 (45), e2115842118, 2021
2021
Social media and COVID-19 infection data suggests disproportionate mental and physical harm in communities of color across 20 metropolitan areas
D Valdez, M ten Thij, L Rutter, K Bathina, J Bollen
APHA 2021 Annual Meeting and Expo, 2021
2021
Topic sentiment versus user sentiment: Social media mining strategies for accurate insights into mood and subjective wellbeing.
M ten Thij, D Valdez, L Rutter, K Bathina, J Bollen
APHA 2021 Annual Meeting and Expo, 2021
2021
Temporal measures of societal optimism reveal inversion of sentiment toward the near and distant future
C Isch, M ten Thij, PM Todd, J Bollen
PsyArXiv, 2021
2021
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