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Harnessing the Power of the General Public for Crowdsourced Business Intelligence: A Survey

Bin Guo, Yan Liu, Yi Ouyang, Vincent W. Zheng, Daqing Zhang, Zhiwen Yu
2019 IEEE Access  
This paper first characterizes the concept model and unique features and presents a generic framework for CrowdBI.  ...  , has become a surging research topic in recent years.  ...  There is a need to track relevant microblogs using evolving keywords. Second, the amount of social media for a popular entity may be huge.  ... 
doi:10.1109/access.2019.2901027 fatcat:a5vz6vl7urckpdsreplkvjalea

How Is the Mobile Internet Different? Search Costs and Local Activities

Anindya Ghose, Avi Goldfarb, Sang Pil Han
2013 Information systems research  
Using data on user behavior at a (Twitter-like) microblogging service, we exploit exogenous variation in the ranking mechanism of posts to identify the ranking effects.  ...  In addition, a wider range of offline locations for mobile Internet usage suggests that local activities are particularly important.  ...  Support was also provided by a MSI-WIMI research grant. All opinions and errors are the authors' alone. Appendix. The MCMC Algorithm  ... 
doi:10.1287/isre.1120.0453 fatcat:chbnp3ttmzhdxblsj5ttrk77da


Junjie Li, Yu Wang, Chunlu Liu
2022 International Journal of Strategic Property Management  
A spatial econometric model of housing price volatility is subsequently constructed and the housing market sentiment index is included as an independent variable in the model.  ...  Market sentiment has become more easily spread between cities through social media. This study investigates the spatial effect of market sentiment on housing price in a social media environment.  ...  Funding This work was supported by humanities and social science research of the Henan Provincial Education Department under Grant 2018-ZZJH-561; the China Scholarship Council under Grant 201908410367;  ... 
doi:10.3846/ijspm.2022.16255 fatcat:f5car5twazdivd53eobdynmf4e

Repérages bibliographiques

Sabrina Mommolin
2014 Netcom  
(Available online 20 November 2014), "Towards a microeconomic framework for modelling the joint choice of activity–travel behaviour and ICT use", Transportation Research Part A: Policy and Practice ,  ...  (Available online 8 November 2014), "Toward green IT: Modeling sustainable production characteristics for Chinese electronic information industry, 1980–2012," Technological Forecasting and Social Change  ... 
doi:10.4000/netcom.1823 fatcat:pvdfjra5fjh6hehechskptkjcy

Who Owns the Data? A Systematic Review at the Boundary of Information Systems and Marketing [article]

Stephen L. France, Mahyar Sharif Vaghefi, Brett Kazandjian
2021 arXiv   pre-print
First, a historical overview of these disciplines is given to put the review into context. This is followed by a bibliographic analysis to select articles at the boundary of IS and marketing.  ...  This paper gives a systematic research review at the boundary of the information systems (IS) and marketing disciplines.  ...  The work in this cluster touches on online reviews and eWOM, but gives a broader view of the online social infrastructure and includes work channels, such as online social networks, blogs, microblogs,  ... 
arXiv:2107.14019v1 fatcat:wkhquobwlrcg7jc5tq2cepmdy4

Enhancing Mobile App User Understanding and Marketing with Heterogeneous Crowdsourced Data: A Review

Bin Guo, Yi Ouyang, Tong Guo, Longbing Cao, Zhiwen Yu
2019 IEEE Access  
This paper reviews CrowdApp, a research field that leverages heterogeneous crowdsourced data for mobile app user understanding and marketing.  ...  We first characterize the opportunities of the CrowdApp, and then present the key research challenges and state-of-the-art techniques to deal with these challenges.  ...  Ghose and Han [106] build a structural econometric model to estimate consumer preferences toward different mobile app characteristics.  ... 
doi:10.1109/access.2019.2918325 fatcat:de763kc4qbdy5ijo55jxyhzgt4

From Symbols to Embeddings: A Tale of Two Representations in Computational Social Science [article]

Huimin Chen, Cheng Yang, Xuanming Zhang, Zhiyuan Liu, Maosong Sun, Jianbin Jin
2021 arXiv   pre-print
The study of CSS is data-driven and significantly benefits from the availability of online user-generated contents and social networks, which contain rich text and network data for investigation.  ...  Computational Social Science (CSS), aiming at utilizing computational methods to address social science problems, is a recent emerging and fast-developing field.  ...  [353] explored the dynamic social network of about 1,000 individuals and their interactions measured via Bluetooth, telecommunication networks or online social media, etc.  ... 
arXiv:2106.14198v1 fatcat:dvy5awnfuvbnnkzusjl5wbhfki

Application of the linear ordering methodsin the voivodships research in the field of social mediausage in enterprises in the period 2014-2017

Paweł Kaczmarczyk
2018 Journal of Economics and Management  
Analysis of the dynamics, spatial visualizations, box plots and polar plots were used in relation to the aggregated measures.  ...  of development were used.  ...  Another form of online social media, enabling interaction between Internet users are blogs and micro-blogs.  ... 
doi:10.22367/jem.2018.33.03 fatcat:rp6m4td4ovd33pbqyr47h5sawi

Spatio-Temporal Machine Learning Analysis of Social Media Data and Refugee Movement Statistics

Clemens Havas, Lorenz Wendlinger, Julian Stier, Sahib Julka, Veronika Krieger, Cornelia Ferner, Andreas Petutschnig, Michael Granitzer, Stefan Wegenkittl, Bernd Resch
2021 ISPRS International Journal of Geo-Information  
The approach combines methods to analyse the textual, temporal and spatial features of social media data and the number of arriving refugees of historical refugee movement statistics to provide relevant  ...  In 2015, within the timespan of only a few months, more than a million people made their way from Turkey to Central Europe in the wake of the Syrian civil war.  ...  Conflicts of Interest: The authors declare no conflict of interest.  ... 
doi:10.3390/ijgi10080498 fatcat:tndxa7plfzegjdcriawlq54dje

Deep Learning for Information Systems Research [article]

Sagar Samtani, Hongyi Zhu, Balaji Padmanabhan, Yidong Chai, Hsinchun Chen
2020 arXiv   pre-print
Taken together, these contributions provide IS scholars a timely framework to advance the scale, scope, and impact of deep learning research.  ...  Fourth, we present a review of prevailing journal and conference venues to examine how IS scholars have leveraged DL for various research inquiries.  ...  ., RapidMiner or WEKA style), econometric models, and more. The model outcome is the final outcome at the end of a complete technical workflow.  ... 
arXiv:2010.05774v1 fatcat:y2mj5m7qaremrf6jvryhxk6vgq

Research Progress and Development Trend of Social Media Big Data (SMBD): Knowledge Mapping Analysis Based on CiteSpace

Ziyi Wang, Debin Ma, Ru Pang, Fan Xie, Jingxiang Zhang, Dongqi Sun
2020 ISPRS International Journal of Geo-Information  
Social Media Big Data (SMBD) is widely used to serve the economic and social development of human beings.  ...  However, as a young research and practice field, the understanding of SMBD in academia is not enough and needs to be supplemented.  ...  Introduction Social Media (SM) is an internet application program with online interactive characteristics, which is one of the primary mediums for people to use the Internet.  ... 
doi:10.3390/ijgi9110632 fatcat:fpk5pwqpmzgezfd5kvza4vahxu

Prediction of social mood on Chinese societal risk perception

Yinghong Dong, Hao Chen, Xijin Tang, Weining Qian, Aoying Zhou
2015 2015 International Conference on Behavioral, Economic and Socio-cultural Computing (BESC)  
The five social mood time series including happiness, disgust, fear, anger and sadness were obtained by analyzing the text content of daily Sina Weibo using the five basic mood lexicon and term-based matching  ...  The result found that social moods are predictive of societal risk perceptions but the effect of different kinds of social mood is distinguishing.  ...  We obtain a useful microblog mood lexicon on the basis of emotional structure theory and argue that sentiment analysis of minute text corpora (such as Weibo) is efficiently obtained via a term-based approach  ... 
doi:10.1109/besc.2015.7365966 dblp:conf/besc/DongCTQZ15 fatcat:zzub6sbohfcg3fmnqv45nmb4qm

The Emerging Trends of Multi-Label Learning [article]

Weiwei Liu, Xiaobo Shen, Haobo Wang, Ivor W. Tsang
2020 arXiv   pre-print
data with limited supervision to build a multi-label classification model becomes valuable for practical applications, etc.  ...  However, it is noted that there has been a lack of systemic studies that focus explicitly on analyzing the emerging trends and new challenges of multi-label learning in the era of big data.  ...  [249] explores the user profiles on Weibo, a famous social network platform in China, by using graph information in social networks.  ... 
arXiv:2011.11197v2 fatcat:hu6w4vgnwbcqrinrdfytmmjbjm

Understanding the impacts of offline and online social influence on open source software project success

Xiao Li
Based on such insights, the thesis contributes a rich understanding of the impacts of both offline (e.g., face-to-face) and online social interactions enabled by the social networking services on the OSS  ...  However, enabled by successful social coding websites, OSS developers may engage in both offline (e.g., face-to-face) and online interaction ways (e.g., social networking services such as microblogging  ...  Online Social Influence The other type of approaches aims to model social influence by using various explicit social relationships.  ... 
doi:10.5167/uzh-152681 fatcat:6irwlctttnfi5k4oa5jxci7njq

Big data analytics: achievements, challenges, and research trends

Andre Coelho Vaz Henriques, Fernando De Souza Meirelles, Maria Alexandra Viegas Cortez da Cunha
2020 Independent Journal of Management & Production  
In addition, it provides a critical analysis of the field development, from its perceived benefits to its unimagined consequences.  ...  Finally, we conclude that other perspectives on big data analytics might include a new wave of studies and that new paths beyond productivity gains can be explored.  ...  online data, social network analyses, web analytics and intelligence, and social media analytics; until the current 3.0 era-characterized by mobile and INDEPENDENT JOURNAL OF MANAGEMENT & PRODUCTION  ... 
doi:10.14807/ijmp.v11i4.1085 fatcat:g5qfvxqz55curcgy4cvffhtari
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