Semantic Scholar uses AI to extract papers important to this topic.
Consumers increasingly rate, review and research products online (Jansen, 2010; Litvin et al., 2008). Consequently, websites… Expand Social networking has become a popular way for users to meet and interact online. Users spend a significant amount of time on… Expand Web-based social systems enable new community-based opportunities for participants to engage, share, and interact. This community… Expand The rapidly growing social network Twitter has been infiltrated by large amount of spam. In this paper, a spam detection… Expand This paper aims to detect users generating spam reviews or review spammers. We identify several characteristic behaviors of… Expand Evaluative texts on the Web have become a valuable source of opinions on products, services, events, individuals, etc. Recently… Expand In this paper, we focus on characterizing spamming botnets by leveraging both spam payload and spam server traffic properties… Expand In this paper, we continue our investigations of "web spam": the injection of artificially-created pages into the web in order to… Expand Web spamming refers to actions intended to mislead search engines and give some pages higher ranking than they deserve. Recently… Expand Web spam pages use various techniques to achieve higher-than-deserved rankings in a search engine's results. While human experts… Expand