Article
Urban Studies
Mahsa Najarsadeghi, Ehsan Dorostkar
Summary: This study examines the impact of virtual mobility on human mobility in Tehran's nightlife conditions, using Foursquare social media data. The research highlights the effects of Foursquare on nightlife and spatial interactions, emphasizing the importance of virtual mobility in shaping human behavior.
Review
Computer Science, Information Systems
Yunpeng Zhao, Xing He, Zheng Feng, Sarah Bost, Mattia Prosperi, Younghui Wu, Yi Guo, Jiang Bian
Summary: This study conducted a scoping review to identify the methods used to assess or address biases when using social media data for public health surveillance. The findings highlight the lack of consideration for biases in data collection and analysis methods, which can distort study results and lead to unintended consequences. The study suggests that strategies from other fields can be utilized to address biases in future public health surveillance systems that utilize social media data.
INTERNATIONAL JOURNAL OF MEDICAL INFORMATICS
(2022)
Review
Computer Science, Artificial Intelligence
Savas Takan, Duygu Ergun, Sinem Getir Yaman, Onur Kilincceker
Summary: The fairness of human-related software is crucial in our daily lives, but many erroneous results have emerged. Companies primarily focus on algorithm-oriented errors as a solution, but the problem lies not only in the algorithm but also in the data itself. This article highlights the importance of a holistic approach combining the algorithm, data, and interdisciplinary assessment in addressing these issues.
WILEY INTERDISCIPLINARY REVIEWS-DATA MINING AND KNOWLEDGE DISCOVERY
(2023)
Article
Computer Science, Information Systems
Lingbo Liu, Ru Wang, Weihe Wendy Guan, Shuming Bao, Hanchen Yu, Xiaokang Fu, Hongqiang Liu
Summary: This study compares human movement data from Chinese social media Weibo and popular location-based service Baidu Map, finding that Weibo data can reveal similar patterns and has higher correlation at the provincial and monthly scale. The study also reveals spatial variations between the two data sources.
ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION
(2022)
Article
Health Care Sciences & Services
David Solans Noguero, Diana Ramirez-Cifuentes, Esteban Andres Rissola, Ana Freire
Summary: Social media is an important source of information about mental health disorders, including eating disorders. This study aimed to detect and analyze gender disparities in algorithms trained to detect anorexia nervosa on social media. The results showed concerning performance differences between male and female users, and highlighted the need for attention to biases in automated methods for mental health detection.
JOURNAL OF MEDICAL INTERNET RESEARCH
(2023)
Article
Multidisciplinary Sciences
Lauren Ansell, Luciana Dalla Valle
Summary: The Covid-19 pandemic has caused significant damage to public health, with over 250 million confirmed cases and over 5 million deaths worldwide. In order to effectively respond to this crisis, accurate modeling and forecasting methods that integrate structured and unstructured data are essential. This paper proposes a novel methodology using vine copulas to combine official data and information collected from social media, which results in a more accurate assessment of the Covid-19 pandemic compared to relying solely on official data.
SCIENTIFIC REPORTS
(2023)
Article
Business
Cecile Zachlod, Olga Samuel, Andrea Ochsner, Sarah Werthmueller
Summary: This study provides an in-depth overview of research analyzing social media data since 2017 through an extensive literature review of 94 papers. The findings reveal that there is a lack of clear definitions and common applications for social media data. The main research domains include marketing, hospitality and tourism, disaster management, and disruptive technology. Twitter is the primary source of analyzed social media data, with sentiment and content analysis being the prevailing methods. Additionally, half of the studies include practical implications, and future areas for high-quality research are suggested.
JOURNAL OF BUSINESS RESEARCH
(2022)
Article
Economics
Ceren Baysan
Summary: This study evaluates the impact of randomly varied exposure to information campaigns in different neighborhoods in Turkey before a referendum on weakening checks and balances on the executive. The results show that the campaigns increased voter polarization over the referendum and led to changes in party affiliation in subsequent national and local elections, resulting in partisan polarization.
AMERICAN ECONOMIC REVIEW
(2022)
Article
Transportation Science & Technology
Lidia Sala, Steve Wright, Caitlin Cottrill, Emilio Flores-Sola
Summary: This paper explores the use of social network data from Twitter to extract reliable demand information for planning commercially viable bus routes to a large music event in Barcelona. By analyzing Twitter influence scores for municipalities in the region, the study successfully identified demand patterns and facilitated the creation of 11 new bus routes that transported over 450 additional passengers from peri-urban and rural areas. This innovative approach demonstrates the potential for social network mining to enhance Mobility Management Planning for large events and improve bus services for rural and peri-urban areas.
TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES
(2021)
Article
Multidisciplinary Sciences
Ferenc Huszar, Sofia Ira Ktena, Conor O'Brien, Luca Belli, Andrew Schlaikjer, Moritz Hardt
Summary: This article discusses the role of personalization algorithms in shaping political content consumption on the Twitter platform. Through a large-scale randomized experiment, it was found that the algorithms amplify the dissemination of mainstream political right and right-leaning news sources, while not supporting the hypothesis that far-left and far-right political groups are more affected by algorithmic amplification.
PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA
(2022)
Article
Transportation
Alireza Abbasi, Taha Hossein Rashidi
Summary: This study found that the Weibull distribution better explains human mobility compared to the widely tested power-law distribution. Additionally, it was observed that people who are active on social media tend to travel shorter distances, while those traveling to and from areas with higher economic and social advantages are more likely to explore wider areas within a city.
TRANSPORTATION LETTERS-THE INTERNATIONAL JOURNAL OF TRANSPORTATION RESEARCH
(2021)
Article
Environmental Sciences
Yu-Sheng Lin, Viktor Morozov, Abdel-Razak Kadry, James L. Caffrey, Wei -Chun Chou
Summary: This study aimed to evaluate daily acrylamide exposure in US adults using blood and urinary biomarkers. The estimated exposure varied among the population, with cigarette smoking being the largest contributor. Other factors such as body mass index and race/ethnicity also played a role in determining estimated exposures.
Article
Geosciences, Multidisciplinary
Jennifer S. Dargin, Chao Fan, Ali Mostafavi
Summary: This study conducted an exploratory analysis of empirical household survey data on the information seeking, sharing activity, and perceptions of information reliability on social media platforms across different population groups during three major hurricane storm events in the United States between 2017 and 2018. The findings suggest significant associations between social media use and socioeconomic factors, as well as the influence of social media in creating or dismantling the digital divide during disasters.
INTERNATIONAL JOURNAL OF DISASTER RISK REDUCTION
(2021)
Article
Health Care Sciences & Services
Abigail R. Greenleaf, Ashley Croker-Benn, Dorothy Aibo, Sam Biraro, Veronica Mugisha, Muhire H. Kwizera, Richard Kabanda, Jessica Justman, Wafaa M. El-Sadr
Summary: The effect of social media on COVID-19 vaccination behavior in sub-Saharan Africa, specifically in Uganda, was examined. The study found that social media use was not associated with vaccination status. Instead, individuals in Uganda primarily relied on TV, radio, and healthcare workers for public health messages. Therefore, the government should continue using these mediums for public health communication.
Article
Health Care Sciences & Services
Ashlynn R. Daughton, Courtney D. Shelley, Martha Barnard, Dax Gerts, Chrysm Watson Ross, Isabel Crooker, Gopal Nadiga, Nilesh Mukundan, Nidia Yadira Vaquera Chavez, Nidhi Parikh, Travis Pitts, Geoffrey Fairchild
Summary: This study utilized Twitter data to identify human behaviors and perceptions relevant to COVID-19 transmission, aiming to monitor public perceptions in real time and inform public health communication strategies. The findings showed that Twitter provides valuable information for modeling human behavior and understanding awareness and compliance with suggested behaviors.
JOURNAL OF MEDICAL INTERNET RESEARCH
(2021)
Article
Computer Science, Artificial Intelligence
Junxin Liu, Fangzhao Wu, Chuhan Wu, Yongfeng Huang, Xing Xie
Article
Computer Science, Artificial Intelligence
Guoshuai Zhao, Hao Fu, Ruihua Song, Tetsuya Sakai, Zhongxia Chen, Xing Xie, Xueming Qian
ACM TRANSACTIONS ON INTELLIGENT SYSTEMS AND TECHNOLOGY
(2019)
Article
Computer Science, Hardware & Architecture
Fu-Zhen Zhuang, Ying-Min Zhou, Hao-Chao Ying, Fu-Zheng Zhang, Xiang Ao, Xing Xie, Qing He, Hui Xiong
JOURNAL OF COMPUTER SCIENCE AND TECHNOLOGY
(2020)
Article
Computer Science, Artificial Intelligence
Le Wu, Lei Chen, Richang Hong, Yanjie Fu, Xing Xie, Meng Wang
IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING
(2020)
Article
Computer Science, Artificial Intelligence
Chuhan Wu, Fangzhao Wu, Tao Qi, Junxin Liu, Yongfeng Huang, Xing Xie
ACM TRANSACTIONS ON ASIAN AND LOW-RESOURCE LANGUAGE INFORMATION PROCESSING
(2020)
Article
Computer Science, Information Systems
Hong Huang, Yu Song, Fanghua Ye, Xing Xie, Xuanhua Shi, Hai Jin
Summary: This article focuses on exploring heterogeneous edges for network representation learning, proposing a multi-stage non-negative matrix factorization (MNMF) model. Experimental results show that the MNMF model outperforms three types of baselines in practical applications.
ACM TRANSACTIONS ON KNOWLEDGE DISCOVERY FROM DATA
(2021)
Proceedings Paper
Computer Science, Information Systems
Zheng Liu, Jianxun Lian, Junhan Yang, Defu Lian, Xing Xie
PROCEEDINGS OF THE 43RD INTERNATIONAL ACM SIGIR CONFERENCE ON RESEARCH AND DEVELOPMENT IN INFORMATION RETRIEVAL (SIGIR '20)
(2020)
Proceedings Paper
Computer Science, Information Systems
Kangzhi Zhao, Xiting Wang, Yuren Zhang, Li Zhao, Zheng Liu, Chunxiao Xing, Xing Xie
PROCEEDINGS OF THE 43RD INTERNATIONAL ACM SIGIR CONFERENCE ON RESEARCH AND DEVELOPMENT IN INFORMATION RETRIEVAL (SIGIR '20)
(2020)
Proceedings Paper
Computer Science, Information Systems
Defu Lian, Haoyu Wang, Zheng Liu, Jianxun Lian, Enhong Chen, Xing Xie
WEB CONFERENCE 2020: PROCEEDINGS OF THE WORLD WIDE WEB CONFERENCE (WWW 2020)
(2020)
Proceedings Paper
Computer Science, Theory & Methods
Zhigang Yuan, Fangzhao Wu, Junxin Liu, Chuhan Wu, Yongfeng Huang, Xing Xie
PROCEEDINGS OF THE 28TH ACM INTERNATIONAL CONFERENCE ON INFORMATION & KNOWLEDGE MANAGEMENT (CIKM '19)
(2019)
Proceedings Paper
Computer Science, Information Systems
Hongtao Liu, Fangzhao Wu, Wenjun Wang, Xianchen Wang, Pengfei Jiao, Chuhan Wu, Xing Xie
PROCEEDINGS OF THE 42ND INTERNATIONAL ACM SIGIR CONFERENCE ON RESEARCH AND DEVELOPMENT IN INFORMATION RETRIEVAL (SIGIR '19)
(2019)
Proceedings Paper
Computer Science, Theory & Methods
Junxin Liu, Fangzhao Wu, Chuhan Wu, Yongfeng Huang, Xing Xie
WEB CONFERENCE 2019: PROCEEDINGS OF THE WORLD WIDE WEB CONFERENCE (WWW 2019)
(2019)
Proceedings Paper
Computer Science, Theory & Methods
Hongwei Wang, Fuzheng Zhang, Miao Zhao, Wenjie Li, Xing Xie, Minyi Guo
WEB CONFERENCE 2019: PROCEEDINGS OF THE WORLD WIDE WEB CONFERENCE (WWW 2019)
(2019)
Proceedings Paper
Computer Science, Artificial Intelligence
Chuhan Wu, Fangzhao Wu, Zhigang Yuan, Junxin Liu, Yongfeng Huang, Xing Xie
PROCEEDINGS OF THE TWELFTH ACM INTERNATIONAL CONFERENCE ON WEB SEARCH AND DATA MINING (WSDM'19)
(2019)
Proceedings Paper
Computer Science, Artificial Intelligence
Chuhan Wu, Fangzhao Wu, Junxin Liu, Shaojian He, Yongfeng Huang, Xing Xie
PROCEEDINGS OF THE TWELFTH ACM INTERNATIONAL CONFERENCE ON WEB SEARCH AND DATA MINING (WSDM'19)
(2019)