Overview and details of the sessions of this conference. Please select a date or room to show only sessions at that day or location. Please select a single session for detailed view (with abstracts and downloads if available).
Session Chair: Sheila Webber, University of Sheffield
Location:Lecture Theatre 1 (Diamond) The Diamond
Predicting Search Performance from Mobile Touch Interactions on Cross-Device Search Engine Result Pages
Dan Wu, Lei Cheng
Wuhan University, China, People's Republic of
Search performance is one of essential indicators for search engines. Most re-searches predicting search performance are based on single device behavior fea-tures. However, user behaviors are more complicated in cross-device search. And little is known about how mobile touch interactions affect search performance in cross-device search engine result pages. In this paper, we conducted a user exper-iment based on our cross-device web search system to define and characterize mobile touch interactions on cross-device search engine result pages, and we pre-dicted the search performance from these interactions. Besides, we divided each search result into 5 areas, including title, snippet, date, URL and recording infor-mation, and we analyzed important areas that users interacted with search engine result pages by mobile touch interactions. Moreover, we developed four models for predicting search performance on cross-device search engine result pages us-ing features of actions, areas and inactive time collected from system logs. Our results showed that combining action features and area features can attain strong prediction accuracy, which can contribute to recommend relevant results and im-prove the search efficiency.
Information Encountering on Social Q&A Sites: A Diary Study of the Process
Tingting Jiang, Chaojian Zhang, Zhezhe Li, Chang Fan, Jiaqi Yang
Wuhan University, China, People's Republic of
Soical Q&A sites, which enables information seeking through the direct interaction between human askers and answerers, demonstrate the environmental characteristics that conduce to information encountering (IE). The purpose of this study is to reveal how IE occur in this specific context. A diary study based on the critical incident technituqe (CIT) was conducted and 108 IE incidents were collected from 83 users of Zhihu, a representative social Q&A site. The diary questionnaire was developed according to three existing general IE process models. The content analysis of these incidents engenders a context-specific model in which the micro-process of IE consists of noticing a stimulus, (stopping), examining the content, and capturing useful/interesting information, and is extended by including both the foreground and follow-up activities. This study not only enriches the understanding of human information behavior, but also provides useful implications for the design of social Q&A sites. The successful attempt to introduce CIT-based diary study to IE research also shows methodological significance.
Analyzing Political Information Network of the U. S. Partisan Public on Twitter
University of North Texas, United States of America
The growing significance of social media among potential voters has been recognized by politicians because social media provides a direct method for political actors to connect with their citizens and organize them into online clusters through their use of hashtags. However, with few exclusions, most of the former studies stressed on the identification of personal tweets or cumulative properties of a mass of tweets and political fondness of discrete users, not on partisan public in the U.S. Thus, there is a lack of complete understanding about online social network of politically conflicting public and the public discourse in the network. Therefore, the purpose of this study is to investigate how people adopt political information on Twitter via hashtag as a networked public and how people facilitate political communication among users with similar or disparate political orientations. This study confirmed the theory of homophily in adopting political hashtags on Twitter network. The referred media and highly mentioned domains for each network also support the concept of homophily. The manually examined users with top betweenness centralities were identified as opinion leaders and their tweeting patterns provide evidences that they play key roles in disseminating information through eWOM by occupying an important relational spot in the network.