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Research on data quality and media differences has been undertaken by a number of scholars over the years. In this section, the author will focus on work by Klein. All of these authors have examined data quality in a similar way, focusing on perceived differences based on media (print versus Internet). In addition, Flanagin et al. (2000) examine whether Internet users verify what they find. Borchers (2003) extends the discussion by examining the effect of personal involvement in the topic. Klein (1999, 2001) has studied perceptions of data quality by surveying a sample of approximately 70 graduate business students conducting class projects. In one early study, Klein (1999) found Web-based material to be more timely, but less believable and of lower reputation, accuracy and objectivity than printed shared hosting material. In a more formal result, Klein (2001) found traditional text sources to be perceived as more accurate, objective and to have higher reputation and representational consistency. Internet sources were found to be stronger in timeliness and appropriate amount. Flanagin et al.’s work (2000) focuses in three areas. First, they look at the perceived credibility of television, newspapers, radio and magazines compared to the Internet. The major finding, unlike Klein, is that there is little difference in credibility between media. Second, Flanagin et al. look at the extent to which Internet users verify what they receive. Here, they find that few Web users verify the information they receive. Those with limited Internet experience verify less than those with more exchange web hosting experience. Third, and most important to this discussion, Flanagin et al. look at whether perceived credibility varies depending on the type of information being sought. Flanagin et al. cite Gunther in suggesting that “greater involvement with the message results in, first, a wider latitude of rejection.” Borchers (2003) considered the literature cited previously and examined a number of interesting questions. In keeping with Klein and Flanagin et al., he examined how people perceive Web-based material compared to printed material considering dimensions such as “timely”, “believable”, “reputation”, “accuracy”, or “objectivity”. Second, Borchers studied whether individuals with personal involvement in a topic (e.g., cancer) are better discriminators of data quality than those who are not involved with a topic. Finally, given their role as health care acquirers, Borchers explores whether women are better discriminators of data quality than men on health related topics such as cancer. Figure 1 demonstrates what Borchers hope to find. H0, his initial hypothesis, is that the perception of low creditable sources is significantly less than high creditable sources. Hence, the two lines for Internet-based and print-based text should have a positive slope. H1 suggests a significant gap between the lines for Internet based sharepoint web hosting sources and text-based sources on the timeliness, believability, reputation, accuracy, and objectivity dimensions. This assertion was based on prior literature by Klein (1999). H2 suggests that the slope of the lines should vary based on one’s personal involvement in cancer. This is to say, that persons with high personal involvement in cancer should be better discriminators of data quality. Finally, H3 suggests that women are better able to differentiate credible from non-credible sources. Hence, the slope of the lines should vary based on gender.