The goal of this research is to explore how social media data can be used to help users find information on websites. This paper presents the first stage in this line of research and focuses on the characteristics of links (i.e. website URLs) shared on social media to recommend relevant and popular web pages within the website to others. Specifically, the paper reports on a study of Twitter messages ("tweets") during four different events. Tweets were collected and those containing links were analyzed. The findings from this study encourage us to proceed to the next stage of the research which is to develop and test a social navigation tool on websites incorporating information from social media in order to improve navigation within a website.
The purpose of this study is to compare two variations of tag clouds, one where the tags are created by a single author and the other where the tags are created by a community of authors. Using mixed methodologies, data was captured and analyzed for efficiency and enjoyment. The results show that tag clouds, where the tags are created by a single author are more efficient and enjoyable for navigation than those created by a community of authors. The findings from this study also provide recommendations for future research in improving tag based navigation on websites.
The purpose of this study is to compare how users perceive and use three navigation tools (search, menus and tag clouds) on websites to find information. Furthermore, the study compares two variations of tag clouds, one where the tags are created by a single author and the other where the tags are created by a community of authors. Using mixed methodologies, data was captured and analyzed for effectiveness, efficiency and enjoyment. The results show that overall search and tag clouds are more effective and preferred among users. Tag clouds, where the tags are created by a single author are more efficient than those created by a community of authors. The findings from this study provide recommendations for future research in improving navigation on websites.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.