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Sandra C. Matz
Publication Activity (10 Years)
Years Active: 2021-2024
Publications (10 Years): 10
Top Topics
User Engagement
Document Ranking
Social Media
Big Five Personality
Top Venues
CoRR
Comput. Hum. Behav.
Inf.
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Publications
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Heinrich Peters
,
Joseph B. Bayer
,
Sandra C. Matz
,
Yikun Chi
,
Sumer S. Vaid
,
Gabriella M. Harari
Social Media Use is Predictable from App Sequences: Using LSTM and Transformer Neural Networks to Model Habitual Behavior.
CoRR
(2024)
Sandra C. Matz
,
Heinrich Peters
,
Paul W. Eastwick
,
Moran Cerf
,
Eli J. Finkel
Do Large Language Models Understand Verbal Indicators of Romantic Attraction?
CoRR
(2024)
Heinrich Peters
,
Joseph B. Bayer
,
Sandra C. Matz
,
Yikun Chi
,
Sumer S. Vaid
,
Gabriella M. Harari
Social media use is predictable from app sequences: Using LSTM and transformer neural networks to model habitual behavior.
Comput. Hum. Behav.
161 (2024)
Heinrich Peters
,
Moran Cerf
,
Sandra C. Matz
Large Language Models Can Infer Personality from Free-Form User Interactions.
CoRR
(2024)
Heinrich Peters
,
Sandra C. Matz
Large Language Models Can Infer Psychological Dispositions of Social Media Users.
CoRR
(2023)
Sofie Goethals
,
Sandra C. Matz
,
Foster J. Provost
,
Yanou Ramon
,
David Martens
The Impact of Cloaking Digital Footprints on User Privacy and Personalization.
CoRR
(2023)
Heinrich Peters
,
Yozen Liu
,
Francesco Barbieri
,
Raiyan Abdul Baten
,
Sandra C. Matz
,
Maarten W. Bos
Context-Aware Prediction of User Engagement on Online Social Platforms.
CoRR
(2023)
Heinrich Peters
,
Sandra C. Matz
,
Moran Cerf
Sensory substitution can improve decision-making.
Comput. Hum. Behav.
146 (2023)
Yanou Ramon
,
R. A. Farrokhnia
,
Sandra C. Matz
,
David Martens
Explainable AI for Psychological Profiling from Behavioral Data: An Application to Big Five Personality Predictions from Financial Transaction Records.
Inf.
12 (12) (2021)
Yanou Ramon
,
Sandra C. Matz
,
R. A. Farrokhnia
,
David Martens
Explainable AI for Psychological Profiling from Digital Footprints: A Case Study of Big Five Personality Predictions from Spending Data.
CoRR
(2021)