A comparison of approaches for imbalanced classification problems in the context of retrieving relevant documents for an analysis [0.03%]
在检索用于分析的相关文档的背景下，比较处理分类不平衡问题的方法
Sandra Wankmüller
Sandra Wankmüller
One of the first steps in many text-based social science studies is to retrieve documents that are relevant for an analysis from large corpora of otherwise irrelevant documents. The conventional approach in social science to address this re...
Varieties of corona news: a cross-national study on the foundations of online misinformation production during the COVID-19 pandemic [0.03%]
冠状病毒新闻的多样性：关于新冠疫情期间在线虚假信息生产的跨国研究
Cantay Caliskan,Alaz Kilicaslan
Cantay Caliskan
Misinformation in the media is produced by hard-to-gauge thought mechanisms employed by individuals or collectivities. In this paper, we shed light on what the country-specific factors of falsehood production in the context of COVID-19 Pand...
Enhanced sentiment analysis regarding COVID-19 news from global channels [0.03%]
改进对全球渠道COVID-19新闻的情绪分析
Waseem Ahmad,Bang Wang,Philecia Martin et al.
Waseem Ahmad et al.
For a healthy society to exist, it is crucial for the media to focus on disease-related issues so that more people are widely aware of them and reduce health risks. Recently, deep neural networks have become a popular tool for textual senti...
Estimating time-series changes in social sentiment @Twitter in U.S. metropolises during the COVID-19 pandemic [0.03%]
估算COVID-19大流行期间美国大城市中社交情绪的变化
Ryuichi Saito,Shinichiro Haruyama
Ryuichi Saito
Since early 2020, the global coronavirus pandemic has strained economic activities and traditional lifestyles. For such emergencies, our paper proposes a social sentiment estimation model that changes in response to infection conditions and...
Linguistic, cultural, and narrative capital: computational and human readings of transfer admissions essays [0.03%]
语言、文化和叙述资本：关于转学申请论文的计算和人工评价
A J Alvero,Jasmine Pal,Katelyn M Moussavian
A J Alvero
Variation in college application materials related to social stratification is a contentious topic in social science and national discourse in the United States. This line of research has also started to use computational methods to conside...
Botometer 101: social bot practicum for computational social scientists [0.03%]
社交机器人的实践教学：计算社会科学入门课程
Kai-Cheng Yang,Emilio Ferrara,Filippo Menczer
Kai-Cheng Yang
Social bots have become an important component of online social media. Deceptive bots, in particular, can manipulate online discussions of important issues ranging from elections to public health, threatening the constructive exchange of in...
Comparative analysis of social bots and humans during the COVID-19 pandemic [0.03%]
新冠肺炎疫情期间社交机器人的行为分析及其与人类用户之间的差异比较
Ho-Chun Herbert Chang,Emilio Ferrara
Ho-Chun Herbert Chang
Using more than 4 billion tweets and labels on more than 5 million users, this paper compares the behavior of humans and bots politically and semantically during the pandemic. Results reveal liberal bots are more central than humans in gene...
Deep diving into the S&P Europe 350 index network and its reaction to COVID-19 [0.03%]
探究新冠肺炎疫情下的欧洲大盘股指数网络变迁：以S&P Europe 350指数为例
Ariana Paola Cortés Ángel,Mustafa Hakan Eratalay
Ariana Paola Cortés Ángel
In this paper, we analyse the dynamic partial correlation network of the constituent stocks of S&P Europe 350. We focus on global parameters such as radius, which is rarely used in financial networks literature, and also the diameter and di...
Suphanut Jamonnak,Deepshikha Bhati,Md Amiruzzaman et al.
Suphanut Jamonnak et al.
VisualCommunity is a platform designed to support community or neighborhood scale research. The platform integrates mobile, AI, visualization techniques, along with tools to help domain researchers, practitioners, and students collecting an...
Matúš Medo,Manuel S Mariani,Linyuan Lü
Matúš Medo
Online news can quickly reach and affect millions of people, yet we do not know yet whether there exist potential dynamical regularities that govern their impact on the public. We use data from two major news outlets, BBC and New York Times...