Download full-text PDF |
Source |
|---|---|
| http://www.ncbi.nlm.nih.gov/pmc/articles/PMC8806377 | PMC |
| http://dx.doi.org/10.14309/ctg.0000000000000439 | DOI Listing |
Publication Analysis
Top Keywords
Similar Publications
Exploring agent interaction patterns in the comment sections of fake and real news.
J R Soc Interface
November 2024
Institute of Cyberspace Security, Zhejiang University of Technology, Hangzhou 310023, People's Republic of China.
Article Synopsis
- User comments on social media play a key role in differentiating between fake and real news, but the interaction patterns in comment sections haven't been thoroughly studied.
- This research analyzes a dataset from Reddit to examine how users interact in terms of sentiment and network structure, finding that real news generates more positive and neutral sentiments compared to the negative sentiments associated with fake news.
- The study also reveals that users with similar sentiments cluster together more closely than expected, and the sentiment distribution becomes stable over time, which could help in the early detection of fake and real news on social platforms.
The Impact of Comment Slant and Comment Tone on Digital Health Communication Among Polarized Publics: A Web-Based Survey Experiment.
J Med Internet Res
November 2024
School of Journalism and Communication, Shanghai University, Shanghai, China.
Background: Public attitudes toward health issues are becoming increasingly polarized, as seen in social media comments, which vary from supportive to oppositional and frequently include uncivil language. The combined effects of comment slant and comment tone on health behavior among a polarized public need further examination.
Objective: This study aims to examine how social media users' prior attitudes toward mask wearing and their exposure to a mask-wearing-promoting post, synchronized with polarized and hostile discussions, affect their compliance with mask wearing.
The secondary metabolism collaboratory: a database and web discussion portal for secondary metabolite biosynthetic gene clusters.
Nucleic Acids Res
January 2025
DOE Joint Genome Institute, Lawrence Berkeley National Labs, Berkeley, CA 94720, USA.
Secondary metabolites are small molecules produced by all corners of life, often with specialized bioactive functions with clinical and environmental relevance. Secondary metabolite biosynthetic gene clusters (BGCs) can often be identified within DNA sequences by various sequence similarity tools, but determining the exact functions of genes in the pathway and predicting their chemical products can often only be done by careful, manual comparative analysis. To facilitate this, we report the first release of the secondary metabolism collaboratory (SMC), which aims to provide a comprehensive, tool-agnostic repository of BGC sequence data drawn from all publicly available and user-submitted bacterial and archaeal genome and contig sources.
View Article and Find Full Text PDFPublic opinion mining in social media about Ethiopian broadcasts using deep learning.
Sci Rep
November 2024
Department of Information Technology, Debre Markos University, Debre Markos, Ethiopia.
Now adays people express and share their opinions on various events on the internet thanks to social media. Opinion mining is the process of interpreting user-generated opinion data on social media. Aside from its lack of resources in opinion-mining tasks, Amharic presents numerous difficulties because of its complex structure and variety of dialects.
View Article and Find Full Text PDF"I'm in the Bluesky Tonight": Insights from a year worth of social data.
PLoS One
November 2024
National Research Council, Institute of Information Science and Technologies "A. Faedo" (ISTI), Pisa, Italy.
Pollution of online social spaces caused by rampaging d/misinformation is a growing societal concern. However, recent decisions to reduce access to social media APIs are causing a shortage of publicly available, recent, social media data, thus hindering the advancement of computational social science as a whole. We present a large, high-coverage dataset of social interactions and user-generated content from Bluesky Social to address this pressing issue.
View Article and Find Full Text PDFWant AI Summaries of new PubMed Abstracts delivered to your In-box?
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!