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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%.

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Citations
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Proceedings ArticleDOI

Trust in online news: comparing social media and official media use by chinese citizens

TL;DR: A large-scale anonymous survey in China revealed that official and citizen news attract different audience groups and each group uses different features to assess news trustworthiness, and a model for predicting preference for news from citizen media was presented.
Posted Content

Finding Eyewitness Tweets During Crises

TL;DR: In this article, the authors identify non-geotagged tweets that originate from within the crisis region and identify those originating outside the region in real-time using linguistic patterns that can be used to differentiate within-region and outside-region tweets.
Journal ArticleDOI

Locating targets through mention in Twitter

TL;DR: This paper forms the problem of locating targets when posting promotion-oriented messages as a ranking based recommendation task, and presents a context-aware recommendation framework as a solution, which outperforms other baselines with a significant margin.

Information Quality and Trustworthiness: A Topical State−of−the−Art Review

TL;DR: This factor-based review should provide an ideal grounding for future research that assesses interaction between these three topics, which may then also progress to associations with information assurance and security at large.
Journal ArticleDOI

The misinformation machine

TL;DR: On page 374 of this issue, Grinberg et al. (3) illustrate the necessity of thinking of misinformation as a process, and see other papers as providing competing views, when they are, in fact, often entirely complementary windows into a much larger process.
References
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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.
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