scispace - formally typeset
Proceedings ArticleDOI

Information credibility on twitter

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

Content maybe subject to copyright    Report

Citations
More filters
Proceedings ArticleDOI

Finding Eyewitness Tweets During Crises

TL;DR: This work seeks to identify non-geotagged tweets that originate from within the crisis region by addressing three questions: is there a difference between the language of tweets originating within a crisis region, what linguistic patterns differentiate within-region and outside-region tweets, and can the authors automatically identify those originating within therisis region in real-time?
Patent

Real-time message sentiment awareness

TL;DR: In this article, techniques for determining a sentiment of an electronic message are presented. But they do not specify a set of types of sentiment indicators and do not provide a score for the sentiment indicator.
Posted Content

NELA-GT-2019: A Large Multi-Labelled News Dataset for The Study of Misinformation in News Articles

TL;DR: The NELA-GT-2019 dataset as mentioned in this paper contains 1.12M news articles from 260 sources collected between January 1st 2019 and December 31st 2019, and includes source-level ground truth labels from 7 different assessment sites covering multiple dimensions of veracity.
BookDOI

Community practices for disaster risk reduction in Japan

Rajib Shaw
TL;DR: In this article, the role of communities in disaster risk reduction and community approaches in disaster recovery in Japan is discussed. But, the authors do not consider the impact of community radio in disaster management.
Posted Content

An Emotional Analysis of False Information in Social Media and News Articles

TL;DR: The authors compared the language of false news to the real one of real news from an emotional perspective, considering a set of false information types (propaganda, hoax, clickbait, and satire) from social media and online news articles sources.
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.
Related Papers (5)