Proceedings ArticleDOI
Information credibility on twitter
Carlos Castillo,Marcelo Mendoza,Barbara Poblete +2 more
- pp 675-684
TLDR
There are measurable differences in the way messages propagate, that can be used to classify them automatically as credible or not credible, with precision and recall in the range of 70% to 80%.Abstract:
We analyze the information credibility of news propagated through Twitter, a popular microblogging service. Previous research has shown that most of the messages posted on Twitter are truthful, but the service is also used to spread misinformation and false rumors, often unintentionally.On this paper we focus on automatic methods for assessing the credibility of a given set of tweets. Specifically, we analyze microblog postings related to "trending" topics, and classify them as credible or not credible, based on features extracted from them. We use features from users' posting and re-posting ("re-tweeting") behavior, from the text of the posts, and from citations to external sources.We evaluate our methods using a significant number of human assessments about the credibility of items on a recent sample of Twitter postings. Our results shows that there are measurable differences in the way messages propagate, that can be used to classify them automatically as credible or not credible, with precision and recall in the range of 70% to 80%.read more
Citations
More filters
Book ChapterDOI
Detecting Rumors Through Modeling Information Propagation Networks in a Social Media Environment
TL;DR: Experimental results show that the new information propagation model based on a heterogeneous user representation can effectively distinguish rumors from credible social media content.
Proceedings ArticleDOI
AUTrust: A Practical Trust Measurement for Adjacent Users in Social Networks
TL;DR: An adjacent users trust measurement model (AUTrust) is proposed and the methods of quantifying trust with these dimensions are discussed and the practicability and universality of AUTrust model are proved.
Book ChapterDOI
Establishing Credibility in the Information Jungle: Blogs, Microblogs, and The CRAAP Test
TL;DR: In this article, the authors describe an approach to evaluate the quality of blogs and microblogs as information sources using the CRAAP test, and they show how a consideration of digital ethos in the application of the CRAP checklist imbues the test with flexibility and effectiveness, and promotes critical thinking throughout the evaluation process.
Journal ArticleDOI
Branding Rhetoric in Times of a Global Pandemic: A Text-Mining Analysis
TL;DR: As the Covid-19 pandemic unfolded, academics and practitioners alike wondered how and to what extent brands should adapt their advertising and communication efforts to remain resonant and to engage.
Detecting COVID-19 Misinformation on Social Media
Tamanna Hossain,Robert L. Logan,Arjuna Ugarte,Yoshitomo Matsubara,Sameer Singh,Sean D. Young +5 more
TL;DR: COVID-Lies1, a dataset of 5K expert-annotated tweets to evaluate the performance of misinformation detection systems on 86 different pieces of COVID-19 related misinformation, is released, providing first benchmarks and identifying key challenges for future models to improve upon.
References
More filters
Proceedings ArticleDOI
What is Twitter, a social network or a news media?
TL;DR: In this paper, the authors have crawled the entire Twittersphere and found a non-power-law follower distribution, a short effective diameter, and low reciprocity, which all mark a deviation from known characteristics of human social networks.
Proceedings ArticleDOI
Earthquake shakes Twitter users: real-time event detection by social sensors
TL;DR: This paper investigates the real-time interaction of events such as earthquakes in Twitter and proposes an algorithm to monitor tweets and to detect a target event and produces a probabilistic spatiotemporal model for the target event that can find the center and the trajectory of the event location.
Proceedings ArticleDOI
Why we twitter: understanding microblogging usage and communities
TL;DR: It is found that people use microblogging to talk about their daily activities and to seek or share information and the user intentions associated at a community level are analyzed to show how users with similar intentions connect with each other.
Proceedings ArticleDOI
Microblogging during two natural hazards events: what twitter may contribute to situational awareness
TL;DR: Analysis of microblog posts generated during two recent, concurrent emergency events in North America via Twitter, a popular microblogging service, aims to inform next steps for extracting useful, relevant information during emergencies using information extraction (IE) techniques.
Proceedings ArticleDOI
Finding high-quality content in social media
TL;DR: This paper introduces a general classification framework for combining the evidence from different sources of information, that can be tuned automatically for a given social media type and quality definition, and shows that its system is able to separate high-quality items from the rest with an accuracy close to that of humans.