The Experts below are selected from a list of 26778 Experts worldwide ranked by ideXlab platform
Ashish Sureka - One of the best experts on this subject based on the ideXlab platform.
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investigating the dynamics of Religious Conflicts by mining public opinions on social media
Pacific-Asia Conference on Knowledge Discovery and Data Mining, 2017Co-Authors: Swati Agarwal, Ashish SurekaAbstract:The powerful emergence of Religious faith and beliefs within political and social groups, now leading to discrimination and violence against other communities has become an important problem for the government and law enforcement agencies. In this paper, we address the challenges and gaps of offline surveys by mining the public opinions, sentiments and beliefs shared about various religions and communities. Due to the presence of descriptive posts, we conduct our experiments on Tumblr website- the second most popular microblogging service. Based on our survey among 3 different groups of 60 people, we define 11 dimensions of public opinion and beliefs that can identify the contrast of conflict in Religious posts. We identify various linguistic features of Tumblr posts using topic modeling and linguistic inquiry and word count. We investigate the efficiency of dimensionality reduction techniques and semi-supervised classification methods for classifying the posts into various dimensions of Conflicts. Our results reveal that linguistic features such as emotions, language variables, personality traits, social process, and informal language are the discriminatory features for identifying the dynamics of conflict in Religious posts.
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a collision of beliefs investigating linguistic features for Religious Conflicts identification on tumblr
International Conference on Distributed Computing and Internet Technology, 2017Co-Authors: Swati Agarwal, Ashish SurekaAbstract:Research shows that with the unexpected emergence of religion and faith, identifying Religious Conflicts within society has become an important problem for the government and law enforcement agencies. Many social science researchers and domain experts conduct manual surveys on offline and online bases for finding such Conflicts. On the other hand, it is seen that people use social media websites for sharing their Religious opinions, sentiments and beliefs. We create a hypothesis that social media websites are a rich source of information for mining these beliefs and automatically identifying the Religious Conflicts among users which overcomes the gaps of offline studies. In this paper, we address the challenge of ambiguity and multilingual scripts in social media posts and distinguish them into various Religious sentiments of users. In order to evaluate our hypothesis, we conduct our study on Tumblr- the second most popular online micro-blogging service. We create a dataset of all Tumblr posts (published since 2007) consisting of several tags commonly used in religion based posts and make it publicly available for benchmarking and comparison. We investigate the efficiency of natural language based features for identifying the Tumblr posts that discuss about a religion and belong to one of the nine categories of users’ sentiments. For example, disagreement, defensive, annoyed and disappointment. We manually analyze these posts and our result shows the proposed features are discriminatory and support our hypothesis. Furthermore, our results reveal that despite the subjectivity in Tumblr posts, it is technically challenging to mine the Religious sentiments of bloggers.
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ICDCIT - A Collision of Beliefs: Investigating Linguistic Features for Religious Conflicts Identification on Tumblr
Distributed Computing and Internet Technology, 2016Co-Authors: Swati Agarwal, Ashish SurekaAbstract:Research shows that with the unexpected emergence of religion and faith, identifying Religious Conflicts within society has become an important problem for the government and law enforcement agencies. Many social science researchers and domain experts conduct manual surveys on offline and online bases for finding such Conflicts. On the other hand, it is seen that people use social media websites for sharing their Religious opinions, sentiments and beliefs. We create a hypothesis that social media websites are a rich source of information for mining these beliefs and automatically identifying the Religious Conflicts among users which overcomes the gaps of offline studies. In this paper, we address the challenge of ambiguity and multilingual scripts in social media posts and distinguish them into various Religious sentiments of users. In order to evaluate our hypothesis, we conduct our study on Tumblr- the second most popular online micro-blogging service. We create a dataset of all Tumblr posts (published since 2007) consisting of several tags commonly used in religion based posts and make it publicly available for benchmarking and comparison. We investigate the efficiency of natural language based features for identifying the Tumblr posts that discuss about a religion and belong to one of the nine categories of users’ sentiments. For example, disagreement, defensive, annoyed and disappointment. We manually analyze these posts and our result shows the proposed features are discriminatory and support our hypothesis. Furthermore, our results reveal that despite the subjectivity in Tumblr posts, it is technically challenging to mine the Religious sentiments of bloggers.
Swati Agarwal - One of the best experts on this subject based on the ideXlab platform.
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investigating the dynamics of Religious Conflicts by mining public opinions on social media
Pacific-Asia Conference on Knowledge Discovery and Data Mining, 2017Co-Authors: Swati Agarwal, Ashish SurekaAbstract:The powerful emergence of Religious faith and beliefs within political and social groups, now leading to discrimination and violence against other communities has become an important problem for the government and law enforcement agencies. In this paper, we address the challenges and gaps of offline surveys by mining the public opinions, sentiments and beliefs shared about various religions and communities. Due to the presence of descriptive posts, we conduct our experiments on Tumblr website- the second most popular microblogging service. Based on our survey among 3 different groups of 60 people, we define 11 dimensions of public opinion and beliefs that can identify the contrast of conflict in Religious posts. We identify various linguistic features of Tumblr posts using topic modeling and linguistic inquiry and word count. We investigate the efficiency of dimensionality reduction techniques and semi-supervised classification methods for classifying the posts into various dimensions of Conflicts. Our results reveal that linguistic features such as emotions, language variables, personality traits, social process, and informal language are the discriminatory features for identifying the dynamics of conflict in Religious posts.
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a collision of beliefs investigating linguistic features for Religious Conflicts identification on tumblr
International Conference on Distributed Computing and Internet Technology, 2017Co-Authors: Swati Agarwal, Ashish SurekaAbstract:Research shows that with the unexpected emergence of religion and faith, identifying Religious Conflicts within society has become an important problem for the government and law enforcement agencies. Many social science researchers and domain experts conduct manual surveys on offline and online bases for finding such Conflicts. On the other hand, it is seen that people use social media websites for sharing their Religious opinions, sentiments and beliefs. We create a hypothesis that social media websites are a rich source of information for mining these beliefs and automatically identifying the Religious Conflicts among users which overcomes the gaps of offline studies. In this paper, we address the challenge of ambiguity and multilingual scripts in social media posts and distinguish them into various Religious sentiments of users. In order to evaluate our hypothesis, we conduct our study on Tumblr- the second most popular online micro-blogging service. We create a dataset of all Tumblr posts (published since 2007) consisting of several tags commonly used in religion based posts and make it publicly available for benchmarking and comparison. We investigate the efficiency of natural language based features for identifying the Tumblr posts that discuss about a religion and belong to one of the nine categories of users’ sentiments. For example, disagreement, defensive, annoyed and disappointment. We manually analyze these posts and our result shows the proposed features are discriminatory and support our hypothesis. Furthermore, our results reveal that despite the subjectivity in Tumblr posts, it is technically challenging to mine the Religious sentiments of bloggers.
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ICDCIT - A Collision of Beliefs: Investigating Linguistic Features for Religious Conflicts Identification on Tumblr
Distributed Computing and Internet Technology, 2016Co-Authors: Swati Agarwal, Ashish SurekaAbstract:Research shows that with the unexpected emergence of religion and faith, identifying Religious Conflicts within society has become an important problem for the government and law enforcement agencies. Many social science researchers and domain experts conduct manual surveys on offline and online bases for finding such Conflicts. On the other hand, it is seen that people use social media websites for sharing their Religious opinions, sentiments and beliefs. We create a hypothesis that social media websites are a rich source of information for mining these beliefs and automatically identifying the Religious Conflicts among users which overcomes the gaps of offline studies. In this paper, we address the challenge of ambiguity and multilingual scripts in social media posts and distinguish them into various Religious sentiments of users. In order to evaluate our hypothesis, we conduct our study on Tumblr- the second most popular online micro-blogging service. We create a dataset of all Tumblr posts (published since 2007) consisting of several tags commonly used in religion based posts and make it publicly available for benchmarking and comparison. We investigate the efficiency of natural language based features for identifying the Tumblr posts that discuss about a religion and belong to one of the nine categories of users’ sentiments. For example, disagreement, defensive, annoyed and disappointment. We manually analyze these posts and our result shows the proposed features are discriminatory and support our hypothesis. Furthermore, our results reveal that despite the subjectivity in Tumblr posts, it is technically challenging to mine the Religious sentiments of bloggers.
Deborah F. Shmueli - One of the best experts on this subject based on the ideXlab platform.
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framing spatial Religious Conflicts the case of mormon development in jerusalem
Tijdschrift voor economische en sociale geografie, 2015Co-Authors: Michal Ben Gal, Noga Collinskreiner, Deborah F. ShmueliAbstract:The paper's aims are twofold: first to present framing methodology as an approach which provides insights into Conflicts stemming from the construction of new Religious sites. Second, to analyse the Brigham Young University Jerusalem Center, using framing in order to understand the spatial-Religious Conflicts involved in its establishment. The findings fall within three frame categories (‘super-frames’) identified in the research: ‘process’, ‘values’, and ‘issues’. The findings reveal that the discord surrounding the BYU Center had to do primarily with process and the values, and not around the issues themselves. The methodology provides a typology for understanding and analysing the different stories told by stakeholders involved in spatial-Religious Conflicts where the decision adopted might be perceived as endangering identity and ‘sense of place’. The typology may be helpful in the analysis of similar disputes elsewhere, and shed light on ways to reframe Conflicts over sacred place
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Framing Spatial‐Religious Conflicts: The Case of Mormon Development in Jerusalem
Tijdschrift voor economische en sociale geografie, 2015Co-Authors: Michal Ben Gal, Noga Collins-kreiner, Deborah F. ShmueliAbstract:The paper's aims are twofold: first to present framing methodology as an approach which provides insights into Conflicts stemming from the construction of new Religious sites. Second, to analyse the Brigham Young University Jerusalem Center, using framing in order to understand the spatial-Religious Conflicts involved in its establishment. The findings fall within three frame categories (‘super-frames’) identified in the research: ‘process’, ‘values’, and ‘issues’. The findings reveal that the discord surrounding the BYU Center had to do primarily with process and the values, and not around the issues themselves. The methodology provides a typology for understanding and analysing the different stories told by stakeholders involved in spatial-Religious Conflicts where the decision adopted might be perceived as endangering identity and ‘sense of place’. The typology may be helpful in the analysis of similar disputes elsewhere, and shed light on ways to reframe Conflicts over sacred place
Wu Fei - One of the best experts on this subject based on the ideXlab platform.
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From Religious Conflicts to Religious Liberty:The Birth of Religious Liberty in USA
Journal of Peking University, 2006Co-Authors: Wu FeiAbstract:This paper examines the history from the migration of Europeans to America due to Religious persecutions to the establishment of the First Amendment of the Constitution. I argue that the seemingly neutral policy of Religious liberty has a characteristic of Protestuntison. Its theoretical foundation is the ideas of natural right, social contract, division of politics and religion, and Religious toleration raised by John Locke, and all these theories have a Christian foundation. Although this is a great creation in dealing with Religious Conflicts, because of the Protestant foundation of American Religious policy, US government has been facing more and more problems when dealing with affairs about other religions both from domestic and abroad.
Joeystein Lindberg - One of the best experts on this subject based on the ideXlab platform.
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running on faith a quantitative analysis of the effect of Religious cleavages on the intensity and duration of internal Conflicts
2008Co-Authors: Joeystein LindbergAbstract:Although the relationship between religion and violent internal conflict is increasingly studied in the civil war literature, previous studies largely focus on factors influencing the onset of armed conflict. This thesis examines the less analyzed aspects of conflict intensity and duration. More specifically, it examines how these aspects are influenced by the presence of identity-based Religious cleavages. By applying a theoretical perspective novel to the religion-conflict nexus, the thesis seeks to provide theoretical knowledge on how faith affects conflict dynamics. Concerning intensity, it is argued that religion, as a basis for identity and organized around a common belief-system and common doctrine, relaxes intragroup problems and makes it easier for belligerents to mobilize. Regarding duration, it is proposed that Religious cleavages make it harder for the parties to establish the intergroup trust needed to reach stable peace agreements. Through extensive data collection a new indicator is introduced, measuring the presence of identity-based Religious cleavages in 241 intrastate Conflicts in the period 1946-2004. Results show that Religious Conflicts, as defined, are significantly more intense than non-Religious ones. Furthermore, the analysis reveals an ambiguous impact on duration. In early stages Religious Conflicts are more likely than others to be terminated, whereas Conflicts that have lasted at least two and half years are less likely to be terminated if they involve a Religious cleavage.
