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  • Search: subject:"recommendation algorithm"
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Year of publication
Subject
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mental health 2 recommendation algorithm 2 social media 2 Algorithm 1 Algorithmus 1 Decision Data Model 1 Decision Maker Activity 1 Decision Path 1 Decision Process 1 Mental disorder 1 Personalisierung 1 Personalization 1 Psychische Krankheit 1 Recommendation Algorithm 1 Social Web 1 Social web 1
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Online availability
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Free 3
Type of publication
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Book / Working Paper 2 Article 1
Type of publication (narrower categories)
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Working Paper 2 Arbeitspapier 1 Graue Literatur 1 Non-commercial literature 1
Language
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English 2 Undetermined 1
Author
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Mandile, Simona 2 PETRUSEL, Razvan 1 STANCIU, Paula-Ligia 1
Published in...
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CESifo Working Paper 1 CESifo working papers 1 Informatica Economica 1
Source
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ECONIS (ZBW) 1 EconStor 1 RePEc 1
Showing 1 - 3 of 3
Cover Image
The Dark Side of Social Media: Recommender Algorithms and Mental Health
Mandile, Simona - 2025
This paper investigates the impact of social media algorithms on mental health outcomes. I exploit a quasi-experimental setting combining data from the Dutch Longitudinal Internet Studies for the Social Sciences (LISS) coupled with the introduction of the algorithmic feed on Instagram in 2016. I...
Persistent link: https://www.econbiz.de/10015339453
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Cover Image
The dark side of social media : recommender algorithms and mental health
Mandile, Simona - 2025
This paper investigates the impact of social media algorithms on mental health outcomes. I exploit a quasi-experimental setting combining data from the Dutch Longitudinal Internet Studies for the Social Sciences (LISS) coupled with the introduction of the algorithmic feed on Instagram in 2016. I...
Persistent link: https://www.econbiz.de/10015191592
Saved in:
Cover Image
Implementing Recommendation Algorithms for Decision Making Processes
STANCIU, Paula-Ligia; PETRUSEL, Razvan - In: Informatica Economica 16 (2012) 3, pp. 87-104
This paper’s contribution is placed into decision-making process research area. In our previous papers we showed how decision maker’s behavior can be captured in logs and how an aggregated decision data model (DDM) can be mined. We now introduce two recommendation algorithms that...
Persistent link: https://www.econbiz.de/10011132259
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