|
1000
|
Abstract/Summary
|
-
<jats:p> Abstract: Aims: The problematic use of social networks is discussed as a further specific type of Internet-use disorders. Our project aims to clarify whether social-networks-use disorder (SNUD) is marked by characteristics of addictive behaviors by tracking behavior and investigating the relevance of 1) implicit cognitions, 2) the experiences of gratification and compensation and 3) use expectancies in SNUD compared to tobacco-use disorder. Methodology: Four groups will be examined: individuals with 1) SNUD without tobacco use, 2) risky use patterns with regard to social networks without tobacco use, 3) tobacco use disorder and 4) healthy controls. All participants first complete a laboratory examination including the Implicit Association Test (IAT) and the Approach-Avoidance task (AAT). We will use smartphone-based data tracking for 14 days following laboratory testing to record smoking and social-networks-use patterns. During this period, we further measure use expectancies and the experience of gratification and compensation by means of a smartphone-based experience sampling method (ESM). Conclusions: This is the first study to examine relevant characteristics of addictive behaviors in individuals with SNUD compared to individuals with tobacco use, using a combination of experimental psychological methods and smartphone-based measurements. We expect that this investigative approach will contribute to a deeper understanding of the processes involved in SNUD. </jats:p>
|
|
1000
|
Hinweis
|
-
DeepGreen-ID: c24b99795d6d47f6a817d50e0d9cc3ce ; metadata provieded by: DeepGreen (https://www.oa-deepgreen.de/api/v1/), LIVIVO search scope life sciences (http://z3950.zbmed.de:6210/livivo), Crossref Unified Resource API (https://api.crossref.org/swagger-ui/index.html), to.science.api (https://frl.publisso.de/), ZDB JSON-API (beta) (https://zeitschriftendatenbank.de/api/), lobid - Dateninfrastruktur für Bibliotheken (https://lobid.org/resources/search)
|
