
According to the 1997 American Internet User Survey and the Georgia Tech Research Corporation's WWW User Survey (1998) there are approximately 31 million American adults using computers, the Internet and the World Wide Web (WWW), with 5 million of these users being African American (Hoffman & Novak, 1998). This colossal figure supports the general consensus that more and more Americans believe that a working knowledge of computer technology in general and the Internet and WWW in particular is essential for business, education, and personal applications. The data from the American Internet User Survey and Georgia Tech's Research Corporation's WWW User Survey also indicate that, as a group, African Americans, Latinos, and Asian Pacific American adults make up less than 14% of these users.' The Internet and WWW data that are specific to African Americans are difficult to find. That is, quantifiable data concerning their use of computers, the Internet, and the WWW are virtually absent from the literature, and there are very few data concerning their attitudes toward computers, the Internet, and the WWW. The usage data that do exist describe a picture of privilege and segregation. For example, Brook and Boale (1995) and others (Anderson, Bikson, Law, & Mitchell, 1995) have found that those who are "surfing the superinformation highway" are typically well
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 16 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Top 10% | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Top 10% |
