Unanswered Questions on Internet That You Should Know About

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According to the viewpoint of the HSM and internet fraud victimisation, the main reason network users fail to identify fraud and ultimately are victimised is that they start the heuristic system when processing information (Grazioli and Wang, 2001; Wang et al., 2012; Luo et al., 2013; Huang et al., 2022). Harrison et al. If users prefer to process emails on their mobile phones rather than computers, they will be more responsive to the heuristic clues contained in phishing emails (Kim and Sundar, 2015; Vishwanath, 2016). Compared with computers, smartphones have smaller screens and are mostly touch based, so content must be displayed in a limited space (Sundar, 2008). The design and 인터넷 가입방법 – click homepage – https://click4r.com/posts/g/12224072/ – layout of smartphones emphasise rich graphical clues rather than text content. Rich presentation exhausts the limited cognitive capacity and resources needed to process persuasive content, thus enhancing heuristic processing (Kim and Sundar, 2015; Vishwanath, 2015). Moreover, a multitasking processing mode reduces the available cognitive resources for system processing (Chaiken, 1987; Ratneshwar and Chaiken, 1991). Experimental results show that a large screen size and video mode of smartphones promotes heuristic processing, while a small screen size and text mode promotes systematic processing (Kim and Sundar, 2015). However, some studies suggest that email habits and cognitive heuristics jointly and independently affect the possibility of being cheated on the internet.
Recent research has shown that the use of mobile devices such as smartphones can make people more likely to fall into online fraud traps by enhancing heuristic processing. But one of the defining features of online fraud is the use of malware. In 2005, the Internet Crime Complaint Center Report stated that 62.7 percent of all incidents regarding reported Internet fraud were about online auctions. Doing this can improve mileage by more than 4 percent. Individuals who pay more attention to information elements have a higher degree of elaboration (Harrison et al., 2016b). For example, suspicious concerns about typographical errors, grammatical errors, and website addresses in phishing emails may lead to more detailed message elaboration, resulting in systematic processing and reducing the likelihood of being victimised by phishing (Toma and Hancock, 2012). Of course, attention to clues focuses more on quality than quantity. Harrison et al. (2016b) also found that elaboration is not influenced by message factors but is predicted by knowledge in specific fields. As mentioned in the introduction, research on the influencing factors of online fraud includes demographics, psychological traits and other variables. During these experiments, experimenters provide victims with fraud materials (the materials may be real fraud materials or may be designed by the researchers according to the research purpose), such as shopping websites (Grazioli, 2004), phishing emails (Vishwanath et al., 2011; Luo et al., 2013; Harrison et al., 2016b), and financial statements (Grazioli and Wang, 2001). The subject’s judgement of the validity of these materials, or whether the subject responds, is used as an assessment of the likelihood of being cheated.>
2011) and Harrison et al. Different researchers have designed different contents and quantities of items; some studies used 3 items (Vishwanath et al., 2011), some studies used 4 items (Griffin et al., 2002), and some studies used 6 items (Schemer et al., 2008). The scale of Vishwanath et al. 2011) has often been cited: heuristic processing includes 4 items, such as “I skimmed (i.e., moved quickly) through the Facebook message” and “I briefly looked at the sender/source of the message”; systematic processing includes 3 items, such as “I thought about the action I took based on what I saw in the Facebook message.” Although different scales had different contents and quantities of items, they all adopted a five-point Likert scale. People who do not have the experience or knowledge necessary to understand an argument usually rely on peripheral clues in the information, which triggers heuristic processing and may lead to incorrect decisions (Petty and Cacioppo, 1986; Chen and Chaiken, 1999). Wright and Marett (2010) found that in the context of phishing, security knowledge and network experience can help users more easily find and identify fraudulent clues in phishing emails, increase the possibility of attention to and elaboration of the information, and thus reduce the possibility of victimisation from phishing.>
Do you have trouble removing ShopScouter from the PC? Studies have been conducted on the relationship between the Big Five personality traits and the likelihood of online fraud victimisation (Norris et al., 2019). For example, Alseadoon et al. In contrast, when the peripheral (heuristic) processing path is adopted, no attention is given to the infor