The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Gender Differences in Internet Use Patterns and Internet Application Preferences: A Two-Sample Comparison
Abstract
Although the Internet frequently has been characterized as male-dominated, recent evidence indicates that the gender gap in Internet use is rapidly diminishing. If more females are using the Internet, then what specific applications do they prefer and do they differ from those of males? This article presents results from a survey assessing gender differences in specific uses of the Internet. The survey included 19 items and was made available to Internet users. For comparison, a paper-and-pencil version was administered to several hundred introductory psychology students. Numerous gender differences in preferences for specific Internet applications emerged. Results showed that males use the Internet mainly for purposes related to entertainment and leisure, whereas women use it primarily for interpersonal communication and educational assistance. However, additional analyses showed that several gender differences were mediated by differences in age and Internet experience. Potential implications of these results for commerce and advertising are discussed.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
The functions of internet use and their social and psychological consequences
Weiser, E. B. (2001) · CyberPsychology & Behavior · doi:10.1089/109493101753376678 · Cited by 343
Self-citation
Research works printed but not linked: 10
- Kraut R., 1998, CHI, 1998, 18
- 10.1007/BF00287909 · DOI
- 10.1016/0360-1315(93)90085-W · DOI · Paper page
- 10.1007/BF00287912 · DOI · Paper page
- 10.1007/BF01544189 · DOI
- 10.1287/mnsc.36.6.739 · DOI · Paper page
- 10.1007/BF00287568 · DOI · Paper page
- 10.1007/BF00289989 · DOI
- Johnson F.L., 1983, Women's Studies International Forum, 6, 353, 10.1016/0277-5395(83)90027-4 · DOI
- Rubin Z., 1986, Psychoanalytic Review, 73, 165
Cited by
Raacke, J., & Bonds-Raacke, J. (2008) · CyberPsychology & Behavior · doi:10.1089/cpb.2007.0056 · Cited by 1,577
Gender and attitudes toward technology use: A meta-analysis
Cai, Z., Fan, X., & Du, J. (2017) · Computers & Education · doi:10.1016/j.compedu.2016.11.003 · Cited by 728
Friends, Fans, and Followers: Do Ads Work on Social Networks?: How Gender and Age Shape Receptivity
Taylor, D. G., Lewin, J. E., & Strutton, D. (2011) · Journal of Advertising Research · doi:10.2501/jar-51-1-258-275 · Cited by 656
Make new friends or keep the old: Gender and personality differences in social networking use
Muscanell, N. L., & Guadagno, R. E. (2012) · Computers in Human Behavior · doi:10.1016/j.chb.2011.08.016 · Cited by 649
Revisiting gender differences: what we know and what lies ahead.
Meyers‐Levy, J., & Loken, B. (2015) · Journal of Consumer Psychology · doi:10.1016/j.jcps.2014.06.003 · Cited by 614
González-Bueso, V., Santamaría, J., Fernández, D., Merino, L., Montero, E., & Ribas, J. (2018) · International Journal of Environmental Research and Public Health · doi:10.3390/ijerph15040668 · Cited by 487
Gender differences in mediated communication: women connect more than do men
Kimbrough, A. M., Guadagno, R. E., Muscanell, N. L., & Dill, J. (2013) · Computers in Human Behavior · doi:10.1016/j.chb.2012.12.005 · Cited by 367
The functions of internet use and their social and psychological consequences
Weiser, E. B. (2001) · CyberPsychology & Behavior · doi:10.1089/109493101753376678 · Cited by 343
Self-citationInternet Addictive Behavior in Adolescence: A Cross-Sectional Study in Seven European Countries
Tsitsika, A., Janikian, M., Schoenmakers, T. M., Tzavela, E. C., Ólafsson, K., Wójcik, S., Macarie, G. F., Tzavara, C., The EU NET ADB Consortium, & Richardson, C. (2014) · Cyberpsychology, Behavior, and Social Networking · doi:10.1089/cyber.2013.0382 · Cited by 303
Scherr, S., & Wang, K. (2021) · Computers in Human Behavior · doi:10.1016/j.chb.2021.106893 · Cited by 230
Stavropoulos, V., Alexandraki, K., & Motti‐Stefanidi, F. (2013) · Journal of Adolescence · doi:10.1016/j.adolescence.2013.03.008 · Cited by 213
Contingencies of Self-Worth and Social-Networking-Site Behavior
Stefanone, M. A., Lackaff, D., & Rosen, D. (2011) · Cyberpsychology, Behavior, and Social Networking · doi:10.1089/cyber.2010.0049 · Cited by 202
Risk Factors for Smartphone Addiction in Korean Adolescents: Smartphone Use Patterns
Lee, H., Kim, J. W., & Choi, T. Y. (2017) · Journal of Korean Medical Science · doi:10.3346/jkms.2017.32.10.1674 · Cited by 200
The joint moderating role of trust propensity and gender on consumers’ online shopping behavior.
Chen, Y., Yan, X., Fan, W., & Gordon, M. (2015) · Computers in Human Behavior · doi:10.1016/j.chb.2014.10.020 · Cited by 200
Vaala, S. E., & Bleakley, A. (2015) · Journal of Children and Media · doi:10.1080/17482798.2015.997103 · Cited by 195
Online Communication Preferences across Age, Gender, and Duration of Internet Use
Thayer, S. E., & Ray, S. (2006) · CyberPsychology & Behavior · doi:10.1089/cpb.2006.9.432 · Cited by 193
Unwanted online sexual solicitation and risky sexual online behavior across the lifespan
Baumgartner, S. E., Valkenburg, P. M., & Peter, J. (2010) · Journal of Applied Developmental Psychology · doi:10.1016/j.appdev.2010.07.005 · Cited by 166
Wang, M.-J., Yogeeswaran, K., Andrews, N. P., Hawi, D. R., & Sibley, C. G. (2019) · Cyberpsychology, Behavior, and Social Networking · doi:10.1089/cyber.2019.0146 · Cited by 156
Rikkers, W., Lawrence, D., Hafekost, J., & Zubrick, S. R. (2016) · BMC Public Health · doi:10.1186/s12889-016-3058-1 · Cited by 147
Taipale, S. (2013) · Telecommunications Policy · doi:10.1016/j.telpol.2012.05.005 · Cited by 125
Rial, A., Gómez, P., Varela, J., & Braña, T. (2014) · Anales de Psicología · doi:10.6018/analesps.30.2.159111 · Cited by 103
Lee, H., Park, N., & Hwang, Y. (2015) · Telematics and Informatics · doi:10.1016/j.tele.2014.02.001 · Cited by 102
Helsper, E. J., & Whitty, M. T. (2010) · Computers in Human Behavior · doi:10.1016/j.chb.2010.02.006 · Cited by 98
Internet Use and Well-Being Among College Students: Beyond Frequency of Use
Gordon, C. F., Juang, L. P. (. P., & Syed, M. (2007) · Journal of College Student Development · doi:10.1353/csd.2007.0065 · Cited by 97
Chae, D., Kim, H., & Kim, Y. A. (2018) · International Journal of Mental Health and Addiction · doi:10.1007/s11469-017-9778-3 · Cited by 65
Media Use during Adolescence: The Recommendations of the Italian Pediatric Society
Bozzola, E., Spina, G., Ruggiero, M., Vecchio, D., Caruso, C., Bozzola, M., Staiano, A. M., Agostiniani, R., Del Vecchio, A., Banderali, G., et al. (2019) · Italian Journal of Pediatrics · doi:10.1186/s13052-019-0725-8 · Cited by 65
The role of personality and depression in problematic use of social networking sites in Greece
Giota, K. G., & Kleftaras, G. (2013) · Cyberpsychology: Journal of Psychosocial Research on Cyberspace · doi:10.5817/cp2013-3-6 · Cited by 65
Why Do Social Media Users Share Misinformation?
Chen, X., Sin, S.-C. J., Theng, Y.-L., & Lee, C. S. (2015) · Proceedings of the 15th ACM/IEEE-CS Joint Conference on Digital Libraries · doi:10.1145/2756406.2756941 · Cited by 70
Boies, S. C., Cooper, A., & Osborne, C. S. (2004) · CyberPsychology & Behavior · doi:10.1089/109493104323024474 · Cited by 63
Age and gender differences in photo tagging gratifications.
Dhir, A., & Torsheim, T. (2016) · Computers in Human Behavior · doi:10.1016/j.chb.2016.05.044 · Cited by 63
Uses and gratifications of educational apps: A study during COVID-19 pandemic
Menon, D. (2022) · Computers and Education Open · doi:10.1016/j.caeo.2022.100076 · Cited by 59
Reissmann, A., Hauser, J., Stollberg, E., Kaunzinger, I., & Lange, K. W. (2018) · Computers in Human Behavior · doi:10.1016/j.chb.2018.06.011 · Cited by 56
The Effect of Home-based Daily Journal Writing in Korean Adolescents with Smartphone Addiction
Lee, H., Seo, M. J., & Choi, T. Y. (2016) · Journal of Korean Medical Science · doi:10.3346/jkms.2016.31.5.764 · Cited by 51
Women, Female Sex and Love Addicts, and Use of the Internet
Corley, M. D., & Hook, J. N. (2012) · Sexual Addiction & Compulsivity · doi:10.1080/10720162.2012.660430 · Cited by 44
Online search for information about universities: a Hong Kong study
Wong, P., Lee, D., & M.L. Ng, P. (2018) · International Journal of Educational Management · doi:10.1108/ijem-12-2016-0268 · Cited by 30
Emotional and Behavioral Problems Related to Smartphone Overuse in Elementary School Children
Baek, H. W., Shin, Y. M., & Shin, K. M. (2014) · Journal of Korean Neuropsychiatric Association · doi:10.4306/jknpa.2014.53.5.320 · Cited by 30
Lee, M., Murphy, K., & Andrews, G. (2019) · Psychological Reports · doi:10.1177/0033294118770357 · Cited by 28
Noh, D., & Kim, S. (2016) · International Journal of Mental Health Nursing · doi:10.1111/inm.12220 · Cited by 23
Gender differences in the antecedents of trust in mobile social networking services
Gong, X., Liu, Z., & Wu, T. (2021) · The Service Industries Journal · doi:10.1080/02642069.2018.1497162 · Cited by 18
Impact of pre-sleep habits on adolescent sleep: an Italian population-based study
Nosetti, L., Lonati, I., Marelli, S., Salsone, M., Sforza, M., Castelnuovo, A., Mombelli, S., Masso, G., Ferini-Strambi, L., Agosti, M., et al. (2021) · Sleep Medicine · doi:10.1016/j.sleep.2021.02.054 · Cited by 16
College Students’ Perceptions of Communication Technology Use and Parent–Child Relationships
McCurdy, A. L., Benito-Gomez, M., Lee, G. Y., & Fletcher, A. C. (2022) · Emerging Adulthood · doi:10.1177/21676968211060954 · Cited by 9
Metadata
- Authors
- Weiser, E. B.
- Venue
- CyberPsychology & Behavior
- Publisher
- SAGE Publications
- Published
- 2000-04
- Volume
- 3
- Issue
- 2
- Pages
- 167-178
- ISSN
- 1094-9313 (ISSN-L)
- 1557-8364
- OpenAlex
- W1980241046
- Cited by
- 659
- References
- 1
- FWCI
- 12.11
- Type
- journal article
- Language
- en
- Open access
- closed
- Licence
- www.liebertpub.com/nv/resources-tools/text-and-data-mining-policy/121/ (tdm)
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.