Gender, Internet Identification, and Internet Anxiety: Correlates of Internet Use

Gender and online health information: a partitioned technology assessment

OBJECTIVE

To examine the extent to which health information seeking behaviors vary across genders or are differentially associated with access to computers, the Internet, and online health information.

RESEARCH DESIGN

Stratified survey, data analysis.

METHODS

Using binary logistic regression we examine information seeking differences between demographic groups. Questions addressed include: 1) Are any identified groups significantly underserved regarding access to computers, access to the Internet, and preferences for seeking online health information, and 2) have differences between gender groups in access to computers, Internet services and online health information narrowed, remained constant, or widened over recent years, following recent national initiatives to narrow the technology gap for underserved populations?

OUTCOMES

Information seeking variation across gender groups and between technologies was at times significant. There was little difference in the access to computer between females and males. In 2002, 75.4% and 73.1% of female and male participants reported that they occasionally use computers, respectively. In 2000, the respective figures were 72.4% and 72.7%. The rates of use of Internet services among computer users, however, were quite different between female and male (P(at 2002)= 0.0002 and P(at 2000)= 0.0082) and the disparity in 2000 (OR = 0.7366 [0.5870, 0.9243]) increased in 2002 (OR = 0.5675 [0.4222, 0.7627]). The odds ratios (OR) indicate that females were 0.7366 and 0.5675 times less likely to use computers than male counterparts in 2000 and 2002, respectively.

CONCLUSION

Recent technology initiatives in the US aimed at reducing disparities in access to online resources appear to have had little effect in facilitating equal access to web-based health information.

Drawing the net: internet identification, internet use, and the image of internet users

Theory and research suggest that Internet identification may account for some of the gender divide in Internet use. Internet identification is a type of domain identification, and is inherently bound with images of those who use the Internet, a domain traditionally conceived as masculine. Combining the "draw an Internet user" test with an Internet identification scale, this study tests two hypotheses: participants drawing gender-concordant images will (i) identify with and (ii) use the Internet more than those drawing gender-discordant images. Participants were 371 students (121 males, 250 females) from three universities in the United Kingdom and Australia. The need to challenge masculinized images of the Internet is discussed.

Study of education disparities and health information seeking behavior

This exploratory technology assessment examines how educational characteristics of health information seekers are associated with access to computers, the Internet, and online health information. Specifically, we examine (1) if there exists significant variation across identified health technology user groups regarding access to online health information, and (2) if differences between education levels have narrowed, remained constant, or widened over recent years, following national educational initiatives to narrow the technology gap for low-education user groups. Using a stratified sample from national tracking survey data, we find that recent policy initiatives under national technology access and other programs have demonstrated little effect in narrowing the digital divide for low-education users of web-based technologies.

Internet identification and future internet use

This paper reports a study investigating the relationship between Internet identification and future Internet use. We predict that Internet identification is stable over time and that it is predictive of future use. The participants were 216 undergraduate students (184 females and 32 males) from five universities in the United Kingdom. They completed a questionnaire concerning their use of the Internet and a measure of Internet identification at the start of the academic year and at the end of the academic year. We found that Internet identification measured at the beginning of the academic year was positively related to Internet identification measured at the end of the academic year. Furthermore, there was a positive relationship between Internet identification and future general Internet use and a positive relationship between Internet identification and future educational Internet use.