The Experts below are selected from a list of 94560 Experts worldwide ranked by ideXlab platform
Nejat H Seyhun - One of the best experts on this subject based on the ideXlab platform.
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do short sellers trade on private Information or False Information
Journal of Financial and Quantitative Analysis, 2018Co-Authors: Amiyatosh Purnanandam, Nejat H SeyhunAbstract:We investigate whether short sellers contribute toward the Informational efficiency of market prices by trading on their private Information or destabilize market prices by trading on rumors and False Information. We find that short-selling activities are considerably informative about future stock returns when there is a higher likelihood of private Information in stocks, as measured by insider-trading activities. Short sellers also bring considerable additional Information to the market that is not fully captured by contemporaneous insider trading. Overall, these results suggest that on average, short sellers bring Informational efficiency to market prices rather than destabilize them.
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do short sellers trade on private Information or False Information
Social Science Research Network, 2011Co-Authors: Amiyatosh Purnanandam, Nejat H SeyhunAbstract:We investigate whether short sellers contribute towards Informational efficiency of market prices by trading on their private Information or destabilize market prices by trading on rumors and False Information. We do so by projecting a firm's short-selling activities on contemporaneous trading activities of its insiders - our proxy for the potential availability of private Information. We find that short-selling activities are considerably informative about future stock returns when there is a higher likelihood of private Information in stocks. Short-sellers also bring considerable additional Information to the market, especially for smaller stocks, that is not fully captured by contemporaneous insider trading. Overall, these results suggest that on average short sellers bring Informational efficiency to the market rather than destabilize them.
Aurangzeb Khan - One of the best experts on this subject based on the ideXlab platform.
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False Information detection in online content and its role in decision making: a systematic literature review
Social Network Analysis and Mining, 2019Co-Authors: Ammara Habib, Anam Habib, Adil Khan, Muhammad Zubair Asghar, Aurangzeb KhanAbstract:This work presents a review of detecting False Information and its role in decision making spread across online content. The authenticity of Information is an emerging issue that affects society and individuals and has a negative impact on people’s decision-making capabilities. The purpose is to understand how different techniques can be used to address the challenge. The approach used for the identification of published articles between 2014 and 2018 is the systematic literature review in which 30 papers were identified and the relevant articles were selected by applying inclusion–exclusion criteria. This review classifies the False Information, spreading on social media, into four types. Furthermore, we describe four deep learning and eight machine learning techniques for False Information detection. The outcomes of this review will provide the researchers with an insight into the different types of False Information, associated detection techniques, and the relationship between False Information and decision making. In the field of False Information detection, previous studies provided a review of the literature. However, we conducted a systematic literature review by providing specific answers to the proposed research questions. Therefore, our contribution is novel to the field because this type of study is not performed previously.
Yasuaki Sakamoto - One of the best experts on this subject based on the ideXlab platform.
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computing the veracity of Information through crowds a method for reducing the spread of False messages on social media
Hawaii International Conference on System Sciences, 2015Co-Authors: Yasuaki SakamotoAbstract:Twitter and other social media allow people to post their experiences and opinions online. This Information can be useful for making informed decisions. However, people can unintentionally spread False Information. The work reported here focused on examining how to reduce the spread of inaccurate Information on social media. In particular, we examined the effect of collective opinion on Information forwarding in social media environments through an experiment with crowds. In Twitter, an indicator of collective opinion is the number of people who have retweeted a message. The results showed that displaying both retweet counts and collective truthfulness ratings could reduce the spread of inaccurate health-related messages. This finding suggests that collecting and displaying the truthfulness ratings of crowds in addition to their forwarding decisions can reduce the spread of False Information on social media.
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toward a social technological system that inactivates False rumors through the critical thinking of crowds
Hawaii International Conference on System Sciences, 2013Co-Authors: Yuko Tanaka, Yasuaki Sakamoto, Toshihiko MatsukaAbstract:Critical thinking is an important part of media literacy. It allows people to find facts among rumors and to inactivate False Information. Such abilities are essential when social media is flooded with rumors during disaster response. We envision a social technological system in which critical thinking is crowd-sourced: Individuals benefit from othersa criticisms of False Information, and the system inactivates the spread of False Information. To test the plausibility of this system, we examined the effect of exposure to criticisms on peopleas decision to spread rumors in social media. When people were exposed to criticisms before rumors, the proportion of responses aimed at stopping the spread of rumors was significantly larger than when people were exposed to rumors before criticisms. We identified some psychological factors that could explain this effect. Based on our results, we discuss practical implications for developing a social-technological system that harnesses the critical thinking of crowds.
Amiyatosh Purnanandam - One of the best experts on this subject based on the ideXlab platform.
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do short sellers trade on private Information or False Information
Journal of Financial and Quantitative Analysis, 2018Co-Authors: Amiyatosh Purnanandam, Nejat H SeyhunAbstract:We investigate whether short sellers contribute toward the Informational efficiency of market prices by trading on their private Information or destabilize market prices by trading on rumors and False Information. We find that short-selling activities are considerably informative about future stock returns when there is a higher likelihood of private Information in stocks, as measured by insider-trading activities. Short sellers also bring considerable additional Information to the market that is not fully captured by contemporaneous insider trading. Overall, these results suggest that on average, short sellers bring Informational efficiency to market prices rather than destabilize them.
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do short sellers trade on private Information or False Information
Social Science Research Network, 2011Co-Authors: Amiyatosh Purnanandam, Nejat H SeyhunAbstract:We investigate whether short sellers contribute towards Informational efficiency of market prices by trading on their private Information or destabilize market prices by trading on rumors and False Information. We do so by projecting a firm's short-selling activities on contemporaneous trading activities of its insiders - our proxy for the potential availability of private Information. We find that short-selling activities are considerably informative about future stock returns when there is a higher likelihood of private Information in stocks. Short-sellers also bring considerable additional Information to the market, especially for smaller stocks, that is not fully captured by contemporaneous insider trading. Overall, these results suggest that on average short sellers bring Informational efficiency to the market rather than destabilize them.
Toshihiko Matsuka - One of the best experts on this subject based on the ideXlab platform.
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toward a social technological system that inactivates False rumors through the critical thinking of crowds
Hawaii International Conference on System Sciences, 2013Co-Authors: Yuko Tanaka, Yasuaki Sakamoto, Toshihiko MatsukaAbstract:Critical thinking is an important part of media literacy. It allows people to find facts among rumors and to inactivate False Information. Such abilities are essential when social media is flooded with rumors during disaster response. We envision a social technological system in which critical thinking is crowd-sourced: Individuals benefit from othersa criticisms of False Information, and the system inactivates the spread of False Information. To test the plausibility of this system, we examined the effect of exposure to criticisms on peopleas decision to spread rumors in social media. When people were exposed to criticisms before rumors, the proportion of responses aimed at stopping the spread of rumors was significantly larger than when people were exposed to rumors before criticisms. We identified some psychological factors that could explain this effect. Based on our results, we discuss practical implications for developing a social-technological system that harnesses the critical thinking of crowds.
