With the rocketing progress of the Internet, it is easier for people to get information about the objects that they are interested in. However, this information usually has conflicts. In order to resolve conflicts and...With the rocketing progress of the Internet, it is easier for people to get information about the objects that they are interested in. However, this information usually has conflicts. In order to resolve conflicts and get the true information, truth discovery has been proposed and received widespread attention. Many algorithms have been proposed to adapt to different scenarios. This paper aims to investigate these algorithms and summarize them from the perspective of algorithm models and specific concepts. Some classic datasets and evaluation metrics are given in this paper. Some future directions for readers are also provided to better understand the field of truth discovery.展开更多
The Internet now is a large-scale platform with big data. Finding truth from a huge dataset has attracted extensive attention, which can maintain the quality of data collected by users and provide users with accurate ...The Internet now is a large-scale platform with big data. Finding truth from a huge dataset has attracted extensive attention, which can maintain the quality of data collected by users and provide users with accurate and efficient data. However, current truth finder algorithms are unsatisfying, because of their low accuracy and complication. This paper proposes a truth finder algorithm based on entity attributes (TFAEA). Based on the iterative computation of source reliability and fact accuracy, TFAEA considers the interactive degree among facts and the degree of dependence among sources, to simplify the typical truth finder algorithms. In order to improve the accuracy of them, TFAEA combines the one-way text similarity and the factual conflict to calculate the mutual support degree among facts. Furthermore, TFAEA utilizes the symmetric saturation of data sources to calculate the degree of dependence among sources. The experimental results show that TFAEA is not only more stable, but also more accurate than the typical truth finder algorithms.展开更多
The existing discourses on the Russia-Ukraine war mainly focus on the humanitar-ian crisis in Ukraine and the implications for the global economy.There is a lack of policy and scholarly attention to how the war threat...The existing discourses on the Russia-Ukraine war mainly focus on the humanitar-ian crisis in Ukraine and the implications for the global economy.There is a lack of policy and scholarly attention to how the war threatens the prospects for realising Sustainable Development Goals(SDGs).Underpinned by a critical document analy-sis of secondary sources available in academic and grey literature and focusing on Africa,the article explores various global challenges ensuing from the crisis.It dem-onstrates how such challenges impact prospects for achieving SDGs in Africa.Using the first two SDGs as an example,the study found that with the disruption of the global supply chain by the war and the international sanctions imposed on Russia,Africa now experiences food commodity and energy shortages,soaring inflation,and commodity price hikes which now threatens to worsen poverty and hunger.The article recommends that Africa prioritise structural change and regional cooperation,reconsidering the global financial system and how development finance is structured and maintaining a steady commitment to building resilience.Future research could be focused on the effectiveness of non-sanctions-based conflict resolutions.展开更多
基金Fundamental Research Funds for the Central Universities,China (No. 22D111207)。
文摘With the rocketing progress of the Internet, it is easier for people to get information about the objects that they are interested in. However, this information usually has conflicts. In order to resolve conflicts and get the true information, truth discovery has been proposed and received widespread attention. Many algorithms have been proposed to adapt to different scenarios. This paper aims to investigate these algorithms and summarize them from the perspective of algorithm models and specific concepts. Some classic datasets and evaluation metrics are given in this paper. Some future directions for readers are also provided to better understand the field of truth discovery.
基金supported by the National Natural Science Foundation of China(61472192)the Scientific and Technological Support Project(Society)of Jiangsu Province(BE2016776)
文摘The Internet now is a large-scale platform with big data. Finding truth from a huge dataset has attracted extensive attention, which can maintain the quality of data collected by users and provide users with accurate and efficient data. However, current truth finder algorithms are unsatisfying, because of their low accuracy and complication. This paper proposes a truth finder algorithm based on entity attributes (TFAEA). Based on the iterative computation of source reliability and fact accuracy, TFAEA considers the interactive degree among facts and the degree of dependence among sources, to simplify the typical truth finder algorithms. In order to improve the accuracy of them, TFAEA combines the one-way text similarity and the factual conflict to calculate the mutual support degree among facts. Furthermore, TFAEA utilizes the symmetric saturation of data sources to calculate the degree of dependence among sources. The experimental results show that TFAEA is not only more stable, but also more accurate than the typical truth finder algorithms.
文摘The existing discourses on the Russia-Ukraine war mainly focus on the humanitar-ian crisis in Ukraine and the implications for the global economy.There is a lack of policy and scholarly attention to how the war threatens the prospects for realising Sustainable Development Goals(SDGs).Underpinned by a critical document analy-sis of secondary sources available in academic and grey literature and focusing on Africa,the article explores various global challenges ensuing from the crisis.It dem-onstrates how such challenges impact prospects for achieving SDGs in Africa.Using the first two SDGs as an example,the study found that with the disruption of the global supply chain by the war and the international sanctions imposed on Russia,Africa now experiences food commodity and energy shortages,soaring inflation,and commodity price hikes which now threatens to worsen poverty and hunger.The article recommends that Africa prioritise structural change and regional cooperation,reconsidering the global financial system and how development finance is structured and maintaining a steady commitment to building resilience.Future research could be focused on the effectiveness of non-sanctions-based conflict resolutions.
