M. Arnaboldi, M. Brambilla, B. Cassottana, P. Ciuccarelli, S. Vantini
Cities are expanding and becoming more and more dynamic in terms of movement of population and, as a consequence, they are becoming melting pots with people of different cultures, religions and languages. In this paper, the authors use the multilingual analysis of Twitter to discover the "hidden cities" concealed within the city of Milan. Using the social media Twitter as a data source helps to detect weaker signals that are not captured through traditional census data. In this study, neighbourhoods in Milan are identified as areas where people speak mainly the same language on Twitter and these results are then compared with census data, to underline any parallelisms or discrepancies between the two sources of data. An added value of the paper is that the results are implemented within an online city dashboard, called Urbanscope.
{"title":"How Twitter reveals Cities within Cities","authors":"M. Arnaboldi, M. Brambilla, B. Cassottana, P. Ciuccarelli, S. Vantini","doi":"10.1145/2930971.2930985","DOIUrl":"https://doi.org/10.1145/2930971.2930985","url":null,"abstract":"Cities are expanding and becoming more and more dynamic in terms of movement of population and, as a consequence, they are becoming melting pots with people of different cultures, religions and languages. In this paper, the authors use the multilingual analysis of Twitter to discover the \"hidden cities\" concealed within the city of Milan. Using the social media Twitter as a data source helps to detect weaker signals that are not captured through traditional census data. In this study, neighbourhoods in Milan are identified as areas where people speak mainly the same language on Twitter and these results are then compared with census data, to underline any parallelisms or discrepancies between the two sources of data. An added value of the paper is that the results are implemented within an online city dashboard, called Urbanscope.","PeriodicalId":227482,"journal":{"name":"Proceedings of the 7th 2016 International Conference on Social Media & Society","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2016-07-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114788577","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
A. Gruzd, Jenna Jacobson, Philip Mai, E. Ruppert, D. Murthy
This paper is the Introduction to the 2016 Proceedings of the International Conference on Social Media and Society, an annual gathering of leading social media researchers from around the world. Now, in its 7th year, the 2016 conference is hosted at Goldsmiths, University of London, UK from July 11 to 13. The conference's intensive three-day program features 24 full papers, 65 work-in-progress papers, 8 workshops, 4 panels, and 34 posters. The Proceedings features 24 full papers grouped into five broad categories: Politics, Visual(izing) Social Media, Business, Places & Spaces, and Online & Offline Communities.
{"title":"Introduction to the 2016 International Conference on Social Media and Society","authors":"A. Gruzd, Jenna Jacobson, Philip Mai, E. Ruppert, D. Murthy","doi":"10.1145/2930971.2930972","DOIUrl":"https://doi.org/10.1145/2930971.2930972","url":null,"abstract":"This paper is the Introduction to the 2016 Proceedings of the International Conference on Social Media and Society, an annual gathering of leading social media researchers from around the world. Now, in its 7th year, the 2016 conference is hosted at Goldsmiths, University of London, UK from July 11 to 13. The conference's intensive three-day program features 24 full papers, 65 work-in-progress papers, 8 workshops, 4 panels, and 34 posters. The Proceedings features 24 full papers grouped into five broad categories: Politics, Visual(izing) Social Media, Business, Places & Spaces, and Online & Offline Communities.","PeriodicalId":227482,"journal":{"name":"Proceedings of the 7th 2016 International Conference on Social Media & Society","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2016-07-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116939727","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Indigenous peoples of Canada have been expressing concern over the high rate of murdered and missing women in their communities for over a decade. Following the Royal Canadian Mounted Police (RCMP) report which confirmed that Indigenous women are four times more likely to be murdered or kidnapped than other Canadians, these claims intensified into a broad social media campaign calling for a national inquiry into the matter. This campaign uses several hashtags but primarily one representing murdered and missing Indigenous women (#MMIW). As a result of 2015 federal election campaign promises, Canada's new Prime Minister, Justin Trudeau, has begun the process of the requested national inquiry. This research examines election-related tweets containing #MMIW. This article seeks to interrogate this social media campaign during the election cycle through the lens of affect theory. What role does affect play in collective action claims making? What are the triggers generating affective responses from MMIW advocates during the 2015 Canadian federal election? A mixed-method content analysis reveals that anger, hope, and disgust are the most prominent affects conveyed in this campaign. Emotional triggers focus on incumbent Prime Minister Stephen Harper as an enemy to the cause and on memorial practices and events remembering the lost. Social networks develop cohesion through affective solidarity. The anger, hope, and disgust shared through this political frame convey the movement of activists who realized their hopes for change.
{"title":"Mobilizing Affective Political Networks: The Role of Affect in Calls for a National Inquiry to Murdered and Missing Indigenous Women during the 2015 Canadian Federal Election","authors":"Mylynn Felt","doi":"10.1145/2930971.2930978","DOIUrl":"https://doi.org/10.1145/2930971.2930978","url":null,"abstract":"Indigenous peoples of Canada have been expressing concern over the high rate of murdered and missing women in their communities for over a decade. Following the Royal Canadian Mounted Police (RCMP) report which confirmed that Indigenous women are four times more likely to be murdered or kidnapped than other Canadians, these claims intensified into a broad social media campaign calling for a national inquiry into the matter. This campaign uses several hashtags but primarily one representing murdered and missing Indigenous women (#MMIW). As a result of 2015 federal election campaign promises, Canada's new Prime Minister, Justin Trudeau, has begun the process of the requested national inquiry. This research examines election-related tweets containing #MMIW. This article seeks to interrogate this social media campaign during the election cycle through the lens of affect theory. What role does affect play in collective action claims making? What are the triggers generating affective responses from MMIW advocates during the 2015 Canadian federal election? A mixed-method content analysis reveals that anger, hope, and disgust are the most prominent affects conveyed in this campaign. Emotional triggers focus on incumbent Prime Minister Stephen Harper as an enemy to the cause and on memorial practices and events remembering the lost. Social networks develop cohesion through affective solidarity. The anger, hope, and disgust shared through this political frame convey the movement of activists who realized their hopes for change.","PeriodicalId":227482,"journal":{"name":"Proceedings of the 7th 2016 International Conference on Social Media & Society","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2016-07-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117343697","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
This study draws theoretical inspiration from the literature on Twitter adoption and Twitter activity in United States legislatures, applying predictions from those limited studies to all 7,378 politicians serving across 50 American state legislatures in the fall of 2015. Tests of bivariate association carried out for individual states lead to widely varying results, indicating an underlying diversity of legislative environments. However, a pooled multivariate analysis for all 50 states indicates that the number of constituents per legislator, district youth, district level of educational attainment, legislative professionalism, being a woman, sitting in the upper chamber, holding a leadership position, and legislative inexperience are all significantly and positively associated with Twitter adoption and Twitter activity. Controlling for these factors, legislator party, majority status, partisan instability, district income, and the percent of households in a state with an Internet connection are not significantly related to either Twitter adoption or recent Twitter use. A significant share of variation in social media adoption by legislators remains unexplained, leaving considerable room for further theoretical development and the development of contingent historical accounts.
{"title":"Twitter Adoption in U.S. Legislatures: A Fifty-State Study","authors":"J. Cook","doi":"10.1145/2930971.2930982","DOIUrl":"https://doi.org/10.1145/2930971.2930982","url":null,"abstract":"This study draws theoretical inspiration from the literature on Twitter adoption and Twitter activity in United States legislatures, applying predictions from those limited studies to all 7,378 politicians serving across 50 American state legislatures in the fall of 2015. Tests of bivariate association carried out for individual states lead to widely varying results, indicating an underlying diversity of legislative environments. However, a pooled multivariate analysis for all 50 states indicates that the number of constituents per legislator, district youth, district level of educational attainment, legislative professionalism, being a woman, sitting in the upper chamber, holding a leadership position, and legislative inexperience are all significantly and positively associated with Twitter adoption and Twitter activity. Controlling for these factors, legislator party, majority status, partisan instability, district income, and the percent of households in a state with an Internet connection are not significantly related to either Twitter adoption or recent Twitter use. A significant share of variation in social media adoption by legislators remains unexplained, leaving considerable room for further theoretical development and the development of contingent historical accounts.","PeriodicalId":227482,"journal":{"name":"Proceedings of the 7th 2016 International Conference on Social Media & Society","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2016-07-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114072186","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
This study explores the nature of how mobile social media may potentially be sharpening the tenor of communicating online. Specifically, randomized representative Twitter data was collected for several controversial issues and then examined to determine the extent to which mobile or web-based content tends more toward greater incivility and impoliteness. Additional analyses further model how certain dialogic features, such as explicitly mentioning other users and retweeting others' posts positively relate to hostility in the discourse. Building on the basis of technological affordances and user negotiation in digitally mediated environments, this study contributes to a better understanding of how individuals express themselves on mobile devices as these rapidly are becoming normalized modes for communicating with one another online.
{"title":"Meaner on Mobile: Incivility and impoliteness in communicating online","authors":"J. Groshek, Chelsea Cutino","doi":"10.1145/2930971.2930976","DOIUrl":"https://doi.org/10.1145/2930971.2930976","url":null,"abstract":"This study explores the nature of how mobile social media may potentially be sharpening the tenor of communicating online. Specifically, randomized representative Twitter data was collected for several controversial issues and then examined to determine the extent to which mobile or web-based content tends more toward greater incivility and impoliteness. Additional analyses further model how certain dialogic features, such as explicitly mentioning other users and retweeting others' posts positively relate to hostility in the discourse. Building on the basis of technological affordances and user negotiation in digitally mediated environments, this study contributes to a better understanding of how individuals express themselves on mobile devices as these rapidly are becoming normalized modes for communicating with one another online.","PeriodicalId":227482,"journal":{"name":"Proceedings of the 7th 2016 International Conference on Social Media & Society","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2016-07-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129392221","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Donna Smith, Á. Hernández-García, Á. F. Agudo-Peregrina, J. Hair
This study investigates the effect of online and offline pre-purchase influences and the role of fashion brand involvement and online brand engagement in predicting purchase intention of products marketed in social media. A four-construct structural model was developed and validated on a sample of 799 shoppers in North America. Partial least squares structural equation modeling (PLS-SEM) was used to test the model. All six hypotheses were supported and fashion brand involvement was identified as a mediator. The analysis incorporated an advanced segmentation technique, Partial Least Squares Prediction Oriented Segmentation, (PLS-POS). Two groups of similar size emerged with differences that are of theoretical and managerial interest. Expansion of the model and future testing in different contexts will help to refine and develop it, providing insights into social media marketing.
{"title":"Social Network Marketing: A Segmentation Approach to Understanding Purchase Intention","authors":"Donna Smith, Á. Hernández-García, Á. F. Agudo-Peregrina, J. Hair","doi":"10.1145/2930971.2930992","DOIUrl":"https://doi.org/10.1145/2930971.2930992","url":null,"abstract":"This study investigates the effect of online and offline pre-purchase influences and the role of fashion brand involvement and online brand engagement in predicting purchase intention of products marketed in social media. A four-construct structural model was developed and validated on a sample of 799 shoppers in North America. Partial least squares structural equation modeling (PLS-SEM) was used to test the model. All six hypotheses were supported and fashion brand involvement was identified as a mediator. The analysis incorporated an advanced segmentation technique, Partial Least Squares Prediction Oriented Segmentation, (PLS-POS). Two groups of similar size emerged with differences that are of theoretical and managerial interest. Expansion of the model and future testing in different contexts will help to refine and develop it, providing insights into social media marketing.","PeriodicalId":227482,"journal":{"name":"Proceedings of the 7th 2016 International Conference on Social Media & Society","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2016-07-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121963476","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
A. Gruzd, Jenna Jacobson, Philip Mai, E. Ruppert, D. Murthy
The Social Media & Society Conference is an annual gathering of leading social media researchers from around the world. Organized by the Social Media Lab at Ryerson University, the conference focuses on the best practices for studying the impact and implications of social media on society.
{"title":"Proceedings of the 7th 2016 International Conference on Social Media & Society","authors":"A. Gruzd, Jenna Jacobson, Philip Mai, E. Ruppert, D. Murthy","doi":"10.1145/2930971","DOIUrl":"https://doi.org/10.1145/2930971","url":null,"abstract":"The Social Media & Society Conference is an annual gathering of leading social media researchers from around the world. Organized by the Social Media Lab at Ryerson University, the conference focuses on the best practices for studying the impact and implications of social media on society.","PeriodicalId":227482,"journal":{"name":"Proceedings of the 7th 2016 International Conference on Social Media & Society","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2016-07-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132343920","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Ayellet Pelled, T. Zilberstein, Eran Pick, Yael Patkin, Alona Tsironlikov, Nurit Tal-Or
The existing research presents ambivalent evidence regarding the significance of visual cues, as opposed to textual cues, in the process of impression formation. While textual information might poses a stronger effect due to its solid and unambiguous character, visual information may have a stronger effect due to its vividness and immediate absorption. This debate is particularly relevant in the context of online social networks, as they are constructed on the sharing of textual and visual elements between their users. Two consecutive online studies test the main research question: Which elements of one's Facebook profile have a more significant influence on impression formation- pictures or texts? Study 1 found that outside the context of Facebook, textual cues were more dominant in the process of impression formation. Study 2, which tested impression formation via Facebook, further corroborated this result; suggesting that the textual cues are also dominant in the context of online profiles. Moreover, these effects were influenced by individual characteristics of the participants, such as 'need for cognition', in a manner that individuals with a high need for cognition placed more emphasis on textual cues. Amount of 'likes' also influenced the impression formation, especially when the profile owner was perceived as manipulative. Additional interactions and further implication are discussed.
{"title":"Which Post Will Impress the Most?: Impression Formation Based on Visual and Textual Cues in Facebook Profiles","authors":"Ayellet Pelled, T. Zilberstein, Eran Pick, Yael Patkin, Alona Tsironlikov, Nurit Tal-Or","doi":"10.1145/2930971.2930997","DOIUrl":"https://doi.org/10.1145/2930971.2930997","url":null,"abstract":"The existing research presents ambivalent evidence regarding the significance of visual cues, as opposed to textual cues, in the process of impression formation. While textual information might poses a stronger effect due to its solid and unambiguous character, visual information may have a stronger effect due to its vividness and immediate absorption. This debate is particularly relevant in the context of online social networks, as they are constructed on the sharing of textual and visual elements between their users. Two consecutive online studies test the main research question: Which elements of one's Facebook profile have a more significant influence on impression formation- pictures or texts? Study 1 found that outside the context of Facebook, textual cues were more dominant in the process of impression formation. Study 2, which tested impression formation via Facebook, further corroborated this result; suggesting that the textual cues are also dominant in the context of online profiles. Moreover, these effects were influenced by individual characteristics of the participants, such as 'need for cognition', in a manner that individuals with a high need for cognition placed more emphasis on textual cues. Amount of 'likes' also influenced the impression formation, especially when the profile owner was perceived as manipulative. Additional interactions and further implication are discussed.","PeriodicalId":227482,"journal":{"name":"Proceedings of the 7th 2016 International Conference on Social Media & Society","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2016-07-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126986665","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
With the popularity of social media, journalists often collect news materials from mass user-generated contents. However, with the increase of social media data, it is not easy for a journalist to see the whole picture of an event from the huge amount of data. If they only use the social media as a news source, the reported content may often become a copied view of the users, or fall into the stereotype of one-sided discussions. Aiming to find a solution to this problem, our study uses Twitter data as an example to develop an information system to assist journalists to explore events, collect materials, and find news topics through social media. We use network analysis and natural language processing techniques to analyze the collected data and visualize the story elements. We have developed four story elements models to support different ways of exploring the data. We let the users adjust the weight on the importance of these models to show the context of tweets and help users find news topics. We have designed a two-phase experiment with questionnaires to assess the appropriateness of the system. We allow the participants with various degrees of familiarity with the event to explore news topics on our system. The experimental results show that the participants have found the system to be useful and easy to use, and the journalists can explore news topics and track events in a much faster fashion.
{"title":"An Information Visualization System to Assist News Topics Exploration with Social Media","authors":"Ching-Ya Lin, Tsai-Yen Li, Pai-Lin Chen","doi":"10.1145/2930971.2930995","DOIUrl":"https://doi.org/10.1145/2930971.2930995","url":null,"abstract":"With the popularity of social media, journalists often collect news materials from mass user-generated contents. However, with the increase of social media data, it is not easy for a journalist to see the whole picture of an event from the huge amount of data. If they only use the social media as a news source, the reported content may often become a copied view of the users, or fall into the stereotype of one-sided discussions. Aiming to find a solution to this problem, our study uses Twitter data as an example to develop an information system to assist journalists to explore events, collect materials, and find news topics through social media. We use network analysis and natural language processing techniques to analyze the collected data and visualize the story elements. We have developed four story elements models to support different ways of exploring the data. We let the users adjust the weight on the importance of these models to show the context of tweets and help users find news topics. We have designed a two-phase experiment with questionnaires to assess the appropriateness of the system. We allow the participants with various degrees of familiarity with the event to explore news topics on our system. The experimental results show that the participants have found the system to be useful and easy to use, and the journalists can explore news topics and track events in a much faster fashion.","PeriodicalId":227482,"journal":{"name":"Proceedings of the 7th 2016 International Conference on Social Media & Society","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2016-07-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132824381","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
The study presented in this paper is the first to explore the relationship between knowledge professionals' offline interaction practices with their interaction practices in their social enterprise media platform in their multinational workplace. The article points to findings from a comprehensive, mixed methods and longitudinal (2010-- 2013) case study of a knowledge intensive multinational organization with entities in over 20 countries in Europe, North Africa and the Middle East. The findings reveal a consistent pattern that offline practices are expanded online, and that the company's social enterprise media has facilitated few new acquaintances for employees. This provides important insights to the field of social media and our society because enterprise media are typically introduced in organizations to establish connections or relationships among employees that do not already know each other, or that work at the same geographical place or context. The study shows that organizations' online enterprise media spaces cannot be understood without reference to the social context in which they occur. This is explained in the framework of Giddens' structuration theory and his later work on modernity, which surprisingly few scholars have employed.
{"title":"Local Villages in a Globally Connected Structure: a Case Study of Social Enterprise Media in the Multinational Workplace","authors":"Lene Pettersen","doi":"10.1145/2930971.2930984","DOIUrl":"https://doi.org/10.1145/2930971.2930984","url":null,"abstract":"The study presented in this paper is the first to explore the relationship between knowledge professionals' offline interaction practices with their interaction practices in their social enterprise media platform in their multinational workplace. The article points to findings from a comprehensive, mixed methods and longitudinal (2010-- 2013) case study of a knowledge intensive multinational organization with entities in over 20 countries in Europe, North Africa and the Middle East. The findings reveal a consistent pattern that offline practices are expanded online, and that the company's social enterprise media has facilitated few new acquaintances for employees. This provides important insights to the field of social media and our society because enterprise media are typically introduced in organizations to establish connections or relationships among employees that do not already know each other, or that work at the same geographical place or context. The study shows that organizations' online enterprise media spaces cannot be understood without reference to the social context in which they occur. This is explained in the framework of Giddens' structuration theory and his later work on modernity, which surprisingly few scholars have employed.","PeriodicalId":227482,"journal":{"name":"Proceedings of the 7th 2016 International Conference on Social Media & Society","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2016-07-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124377323","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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