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
Proceedings ArticleDOI
CSI: A Hybrid Deep Model for Fake News Detection
TL;DR: In this paper, the authors proposed a model called CSI which is composed of three modules: Capture, Score, and Integrate (CSI), which combines three generally agreed upon characteristics of fake news: the text of an article, the user response it receives, and the source users promoting it.
Proceedings ArticleDOI
dEFEND: Explainable Fake News Detection
TL;DR: A sentence-comment co-attention sub-network is developed to exploit both news contents and user comments to jointly capture explainable top-k check-worthy sentences and userComments for fake news detection.
Proceedings ArticleDOI
Dynamical classes of collective attention in twitter
TL;DR: A large-scale record of Twitter activity is analyzed and it is found that the evolution of hashtag popularity over time defines discrete classes of hashtags, which are linked to the events the hashtags represent and use text mining techniques to provide a semantic characterization of the hashtag classes.
Proceedings ArticleDOI
Rumors, False Flags, and Digital Vigilantes: Misinformation on Twitter after the 2013 Boston Marathon Bombing
TL;DR: This exploratory research examines three rumors, later demonstrated to be false, that circulated on Twitter in the aftermath of the Boston Marathon bombings and suggests that corrections to the misinformation emerge but are muted compared with the propagation of the misinformation.
Journal ArticleDOI
A review of volunteered geographic information quality assessment methods
TL;DR: Data mining is introduced as an additional approach for quality handling in VGI by reviewing various quality measures and indicators for selected types of VGI and existing quality assessment methods.
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.