Milgram's experiment in the knowledge space: individual navigation strategies [0.03%]
米尔格拉姆实验的知识空间中个人导航策略研究
Manran Zhu,János Kertész
Manran Zhu
Data deluge characteristic for our times has led to information overload, posing a significant challenge to effectively finding our way through the digital landscape. Addressing this issue requires an in-depth understanding of how we naviga...
Kathyrn R Fair,Omar A Guerrero
Kathyrn R Fair
In the last decade, the study of labour dynamics has led to the introduction of labour flow networks (LFNs) as a way to conceptualise job-to-job transitions, and to the development of mathematical models to explore the dynamics of these net...
Journalists are most likely to receive abuse: analysing online abuse of UK public figures across sport, politics, and journalism on Twitter [0.03%]
记者最有可能受到谩骂——基于推特平台英国体育、政坛和新闻界人士遭受网络欺凌现象的分析
Liam Burke-Moore,Angus R Williams,Jonathan Bright
Liam Burke-Moore
Engaging with online social media platforms is an important part of life as a public figure in modern society, enabling connection with broad audiences and providing a platform for spreading ideas. However, public figures are often dispropo...
Detection of anomalous spatio-temporal patterns of app traffic in response to catastrophic events [0.03%]
面向重大事件的APP流量异常时空模式检测方法研究
Sofia Medina,Shazia&#x;Ayn Babul,Timothy LaRock et al.
Sofia Medina et al.
In this work, we uncover patterns of usage mobile phone applications and information spread in response to perturbations caused by unprecedented events. We focus on categorizing patterns of response in both space and time, tracking their re...
Whose voice matters? Word embeddings reveal identity bias in news quotes [0.03%]
什么样的声音最重要？单词嵌入揭示新闻引语中的身份偏见
Nnaemeka Ohamadike,Kevin Durrheim,Mpho Primus
Nnaemeka Ohamadike
This paper investigates identity bias (gender and race) in the South African news selection and representation of COVID-19 vaccination quotes. Social bias studies have qualitatively examined race and gender bias in South African news, given...
Socioeconomic disparities in mobility behavior during the COVID-19 pandemic in developing countries [0.03%]
发展中国家在COVID-19大流行期间的社会经济流动性行为差异
Lorenzo Lucchini,Ollin D Langle-Chimal,Lorenzo Candeago et al.
Lorenzo Lucchini et al.
Mobile phone data have played a key role in quantifying human mobility during the COVID-19 pandemic. Existing studies on mobility patterns have primarily focused on regional aggregates in high-income countries, obfuscating the accentuated i...
The impact of playlist characteristics on coherence in user-curated music playlists [0.03%]
用户自选音乐播放列表中播放列表特征对一致性的影响
Harald Schweiger,Emilia Parada-Cabaleiro,Markus Schedl
Harald Schweiger
Music playlist creation is a crucial, yet not fully explored task in music data mining and music information retrieval. Previous studies have largely focused on investigating diversity, popularity, and serendipity of tracks in human- or mac...
Lea Karbevska,César A Hidalgo
Lea Karbevska
Value chain data is crucial for navigating economic disruptions. Yet, despite its importance, we lack publicly available product-level value chain datasets, since resources such as the "World Input-Output Database", "Inter-Country Input-Out...
Weakly supervised veracity classification with LLM-predicted credibility signals [0.03%]
利用LLM预测的可信度信号进行弱监督真实性的分类
João A Leite,Olesya Razuvayevskaya,Kalina Bontcheva et al.
João A Leite et al.
Credibility signals represent a wide range of heuristics typically used by journalists and fact-checkers to assess the veracity of online content. Automating the extraction of credibility signals presents significant challenges due to the n...
Dragos Gorduza,Stefan Zohren,Xiaowen Dong
Dragos Gorduza
Understanding stock market instability is a key question in financial management as practitioners seek to forecast breakdowns in long-run asset co-movement patterns which expose portfolios to rapid and devastating collapses in value. These ...