4.7 Article

Assessing Social Media Data as a Resource for Firearm Research: Analysis of Tweets Pertaining to Firearm Deaths

相关参考文献

注意:仅列出部分参考文献,下载原文获取全部文献信息。
Article Computer Science, Artificial Intelligence

Traditional and context-specific spam detection in low resource settings

Kornraphop Kawintiranon et al.

Summary: The study finds that social media data contains a mixture of high and low-quality content. By analyzing Twitter data sets, the existence of context-specific spam is identified, and traditional machine learning models and a neural network model are compared for identifying spam. The neural network model outperforms traditional models with an F1 score of 0.91. The impact of data imbalance is also investigated, with findings showing that a simple Bag-of-Words model performs best under extreme imbalance, while a neural model fine-tuned using language models from other domains improves the F1 score significantly.

MACHINE LEARNING (2022)

Proceedings Paper Computer Science, Artificial Intelligence

Students or Mechanical Turk: Who Are the More Reliable Social Media Data Labelers?

Lisa Singh et al.

Summary: This study compares the reliability of students and Mechanical Turk workers in social media data labeling tasks. The results demonstrate that Mechanical Turk workers provide more reliable labeling than college students for noisy and short posts.

PROCEEDINGS OF THE 11TH INTERNATIONAL CONFERENCE ON DATA SCIENCE, TECHNOLOGY AND APPLICATIONS (DATA) (2022)

Proceedings Paper Computer Science, Artificial Intelligence

Text Analytic Research Portals: Supporting Large-Scale Social Science Research

Lisa Singh et al.

Summary: This article discusses how to use text analytic research portals to assist social science researchers in handling large-scale organic data and generating variables for social science research.

2021 IEEE INTERNATIONAL CONFERENCE ON BIG DATA (BIG DATA) (2021)

Article Social Sciences, Interdisciplinary

From FAIR data to fair data use: Methodological data fairness in health-related social media research

Sabina Leonelli et al.

Summary: The paper raises concerns about the reliability and ethics of using social media data for health-related research, emphasizing the importance of methodological data fairness and providing practical steps for ensuring scientific and ethical outcomes. Failure to address these concerns may lead to serious ethical, methodological, and epistemic issues in the knowledge and evidence being produced.

BIG DATA & SOCIETY (2021)

Article Health Care Sciences & Services

Characteristics of Gun Advertisements on Social Media: Systematic Search and Content Analysis of Twitter and YouTube Posts

Lisa Jordan et al.

JOURNAL OF MEDICAL INTERNET RESEARCH (2020)

Article Humanities, Multidisciplinary

The dynamics of Twitter users' gun narratives across major mass shooting events

Yu-Ru Lin et al.

HUMANITIES & SOCIAL SCIENCES COMMUNICATIONS (2020)

Article Pediatrics

Youth Gun Violence Prevention in a Digital Age

Desmond Upton Patton et al.

PEDIATRICS (2018)

Letter Medicine, General & Internal

Funding and Publication of Research on Gun Violence and Other Leading Causes of Death

David E. Stark et al.

JAMA-JOURNAL OF THE AMERICAN MEDICAL ASSOCIATION (2017)

Review Public, Environmental & Occupational Health

The Epidemiology of Firearm Violence in the Twenty-First Century United States

Garen J. Wintemute

ANNUAL REVIEW OF PUBLIC HEALTH, VOL 36 (2015)

Editorial Material Biochemical Research Methods

Ethical Challenges of Big Data in Public Health

Effy Vayena et al.

PLOS COMPUTATIONAL BIOLOGY (2015)

Article Computer Science, Information Systems

Social Media Analytics An Interdisciplinary Approach and Its Implications for Information Systems

Stefan Stieglitz et al.

BUSINESS & INFORMATION SYSTEMS ENGINEERING (2014)

Editorial Material Multidisciplinary Sciences

The Parable of Google Flu: Traps in Big Data Analysis

David Lazer et al.

SCIENCE (2014)

Article Communication

Using Classic Social Media Cases to Distill Ethical Guidelines for Digital Engagement

Shannon A. Bowen

JOURNAL OF MASS MEDIA ETHICS (2013)