Examining Self-Disclosure on Social Networking Sites: A Flow Theory and Privacy Perspective
Social media and other web 2.0 tools have provided users with the platform to interact with and also disclose personal information to not only their friends and acquaintances but also relative strangers with unprecedented ease. This has enhanced the ability of people to share more about themselves,...
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| Format: | Article |
| Language: | English |
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MDPI AG
2018-06-01
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| Series: | Behavioral Sciences |
| Subjects: | |
| Online Access: | http://www.mdpi.com/2076-328X/8/6/58 |
| _version_ | 1798045497646120960 |
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| author | George Oppong Appiagyei Ampong Aseda Mensah Adolph Sedem Yaw Adu John Agyekum Addae Osaretin Kayode Omoregie Kwame Simpe Ofori |
| author_facet | George Oppong Appiagyei Ampong Aseda Mensah Adolph Sedem Yaw Adu John Agyekum Addae Osaretin Kayode Omoregie Kwame Simpe Ofori |
| author_sort | George Oppong Appiagyei Ampong |
| collection | DOAJ |
| description | Social media and other web 2.0 tools have provided users with the platform to interact with and also disclose personal information to not only their friends and acquaintances but also relative strangers with unprecedented ease. This has enhanced the ability of people to share more about themselves, their families, and their friends through a variety of media including text, photo, and video, thus developing and sustaining social and business relationships. The purpose of the paper is to identify the factors that predict self-disclosure on social networking sites from the perspective of privacy and flow. Data was collected from 452 students in three leading universities in Ghana and analyzed with Partial Least Square-Structural Equation Modeling. Results from the study revealed that privacy risk was the most significant predictor. We also found privacy awareness, privacy concerns, and privacy invasion experience to be significant predictors of self-disclosure. Interaction and perceived control were found to have significant effect on self-disclosure. In all, the model accounted for 54.6 percent of the variance in self-disclosure. The implications and limitations of the current study are discussed, and directions for future research proposed. |
| first_indexed | 2024-04-11T23:21:42Z |
| format | Article |
| id | doaj.art-1e320c2500134c96b65cbcd679c4ea4b |
| institution | Directory Open Access Journal |
| issn | 2076-328X |
| language | English |
| last_indexed | 2024-04-11T23:21:42Z |
| publishDate | 2018-06-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Behavioral Sciences |
| spelling | doaj.art-1e320c2500134c96b65cbcd679c4ea4b2022-12-22T03:57:26ZengMDPI AGBehavioral Sciences2076-328X2018-06-01865810.3390/bs8060058bs8060058Examining Self-Disclosure on Social Networking Sites: A Flow Theory and Privacy PerspectiveGeorge Oppong Appiagyei Ampong0Aseda Mensah1Adolph Sedem Yaw Adu2John Agyekum Addae3Osaretin Kayode Omoregie4Kwame Simpe Ofori5Department of Management, Ghana Technology University College, Accra PMB 100, GhanaDepartment of Marketing and Entrepreneurship, University of Ghana Business School, Accra LG78, GhanaDepartment of Computer Science, Ho Technical University, Ho HP217, GhanaDepartment of Finance and Accounting, Ghana Technology University College, Accra PMB 100, GhanaLagos Business School, Pan-Atlantic University, Lagos, NigeriaDepartment of Computer Science, Ho Technical University, Ho HP217, GhanaSocial media and other web 2.0 tools have provided users with the platform to interact with and also disclose personal information to not only their friends and acquaintances but also relative strangers with unprecedented ease. This has enhanced the ability of people to share more about themselves, their families, and their friends through a variety of media including text, photo, and video, thus developing and sustaining social and business relationships. The purpose of the paper is to identify the factors that predict self-disclosure on social networking sites from the perspective of privacy and flow. Data was collected from 452 students in three leading universities in Ghana and analyzed with Partial Least Square-Structural Equation Modeling. Results from the study revealed that privacy risk was the most significant predictor. We also found privacy awareness, privacy concerns, and privacy invasion experience to be significant predictors of self-disclosure. Interaction and perceived control were found to have significant effect on self-disclosure. In all, the model accounted for 54.6 percent of the variance in self-disclosure. The implications and limitations of the current study are discussed, and directions for future research proposed.http://www.mdpi.com/2076-328X/8/6/58self-disclosuresocial networking sitesflowprivacy concernsstructural equation modelingGhana |
| spellingShingle | George Oppong Appiagyei Ampong Aseda Mensah Adolph Sedem Yaw Adu John Agyekum Addae Osaretin Kayode Omoregie Kwame Simpe Ofori Examining Self-Disclosure on Social Networking Sites: A Flow Theory and Privacy Perspective Behavioral Sciences self-disclosure social networking sites flow privacy concerns structural equation modeling Ghana |
| title | Examining Self-Disclosure on Social Networking Sites: A Flow Theory and Privacy Perspective |
| title_full | Examining Self-Disclosure on Social Networking Sites: A Flow Theory and Privacy Perspective |
| title_fullStr | Examining Self-Disclosure on Social Networking Sites: A Flow Theory and Privacy Perspective |
| title_full_unstemmed | Examining Self-Disclosure on Social Networking Sites: A Flow Theory and Privacy Perspective |
| title_short | Examining Self-Disclosure on Social Networking Sites: A Flow Theory and Privacy Perspective |
| title_sort | examining self disclosure on social networking sites a flow theory and privacy perspective |
| topic | self-disclosure social networking sites flow privacy concerns structural equation modeling Ghana |
| url | http://www.mdpi.com/2076-328X/8/6/58 |
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