Search (3 results, page 1 of 1)

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Abstract

Information from microblogs is gaining increasing attention from researchers interested in analyzing fluctuations in stock markets. Behavioral financial theory draws on social psychology to explain some of the irrational behaviors associated with financial decisions to help explain some of the fluctuations. In this study we argue that social media users who demonstrate an interest in finance can offer insights into ways in which irrational behaviors may affect a stock market. To test this, we analyzed all the data collected over a 3-month period in 2011 from Tencent Weibo (one of the largest microblogging websites in China). We designed a social influence (SI)-based Tencent finance-related moods model to simulate investors' irrational behaviors, and designed a Tencent Moods-based Stock Trend Analysis (TM_STA) model to detect correlations between Tencent moods and the Hushen-300 index (one of the most important financial indexes in China). Experimental results show that the proposed method can help explain the data fluctuation. The findings support the existing behavioral financial theory, and can help to understand short-term rises and falls in a stock market. We use behavioral financial theory to further explain our findings, and to propose a trading model to verify the proposed model.

Source

Journal of the Association for Information Science and Technology. 70(2019) no.9, S.1000-1013

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Source

Journal of the American Society for Information Science and Technology. 58(2007) no.14, S.2382-2400

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Abstract

Purpose - The purpose of this paper is to describe: a new taxonomy of metacognitive skills designed to support the study of metacognition in the context of web searching; a data collection instrument based on the taxonomy; and the results of testing the instrument on a sample of university students and staff. Design/methodology/approach - The taxonomy is based on a review of the literature, and is extended to cover web searching. This forms the basis for the design of the data collection instrument, which is tested with 405 students and staff of Sheffield University. Findings - Subjects regard the range of metacognitive skills focused on as broadly similar. However, a number of significant differences in reported metacognition usage relating to age, gender and discipline. Practical implications - These findings contribute to the long-term aims of the research which are to: develop a model of the actual and potential role of metacognition in web searching, and identify strategic "metacognitive interventions" that can be built into an intelligent information retrieval system, driven by the model, capable of enhancing retrieval effectiveness by compensating for metacognitive weaknesses on the part of the searcher. Originality/value - The value of the paper lies in: the consideration of metacognition in the context of web searching, the presentation of an extensible taxonomy of metacognitive skills, development and testing of a prototype metacognitive inventory, finding of significant differences in reported metacognition usage according to age, gender and discipline, and reflection of the implications of the results for future research into web searching.