Evidence map›Paper›PMID 40519763›Full record

ArticleAddictive behaviors reports2025

The darker side of positive AI attitudes: Investigating associations with (problematic) social media use.

Christian Montag, Jon D Elhai

Abstract read
In one paragraph

Article in Addictive behaviors reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

Who cites it

5 citing papers in PubMed.

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4 · The record

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PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

2 authors.

Christian MontagCentre for Cognitive and Brain Sciences, Institute of Collaborative Innovation, University of Macau, Macau SAR, PR China.
Jon D ElhaiDepartment of Psychology, and Department of Neurosciences and Psychiatry, University of Toledo, Toledo, OH, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In societies around the world, the impact of artificial intelligence (AI) is being fiercely discussed. It is difficult to grasp AI's influence, because AI represents a general-purpose technology, which can be applied in different settings. One product in which AI plays a pivotal role is social media. In this context, for instance, AI is used to provide people with personalized newsfeeds to prolong time spent online, which might result in addictive-like behavior. Many factors such as sociodemographic variables, history of psychopathology and personality traits have been revealed as risk factors for developing problematic social media use patterns. Yet, to our knowledge attitudes toward AI have not been examined in association with problematic social media use. In a sample of n = 956 social media users, we observed that positive AI attitudes were linked to overuse of social media as assessed with an addiction framework. The effect size of this association was stronger for males than females. Further we observed that this association was mediated by time spent on social media. The present study shows that positive AI attitudes - although well-known to be positive regarding embracing new technologies - might come with risks for developing addictive patterns of technology use, such as social media.

Indexed as

Artificial IntelligenceAttitudesProblematic Social Media UseSocial Media Addiction

Identifiers

PMID40519763
PMCPMC12167016

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.