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
Click traffic analysis of short URL spam on Twitter
TL;DR: This paper measures the misuse of the short URLs and analyzes the characteristics of the spam and non-spam short URLs to enable the detection of spam short URLs, and determines that the Random Tree algorithm achieves the best performance.
Journal ArticleDOI
Using AI and Social Media Multimodal Content for Disaster Response and Management: Opportunities, Challenges, and Future Directions
TL;DR: Various applications and opportunities of SM multimodal data, latest advancements, current challenges, and future directions for the crisis informatics and other related research fields are highlighted.
Journal ArticleDOI
What’s Happening Around the World? A Survey and Framework on Event Detection Techniques on Twitter
Zafar Saeed,Zafar Saeed,Rabeeh Ayaz Abbasi,Onaiza Maqbool,Abida Sadaf,Imran Razzak,Ali Daud,Naif Radi Aljohani,Guandong Xu +8 more
TL;DR: A framework called EDoT is proposed based on the research trends, common practices, and techniques used for detecting events on Twitter and can serve as a guideline for developing event detection methods, especially for researchers who are new in this area.
Verifying Multimedia Use at MediaEval 2016.
Christina Boididou,Symeon Papadopoulos,Duc-Tien Dang-Nguyen,Giulia Boato,Michael Riegler,Stuart E. Middleton,Andreas Petlund,Yiannis Kompatsiaris +7 more
TL;DR: The Verifying Multimedia Use task as mentioned in this paper deals with automatic detection of manipulation and misuse of web multimedia content, e.g., splicing, removal/addition of elements, while other kinds of misuse include the reposting of previously captured multimedia content in a dierent context (e.g. a new event) claiming that it was captured there.
Journal ArticleDOI
Detection and veracity analysis of fake news via scrapping and authenticating the web search
TL;DR: A model which validates the veracity of image text by exploring it on web and then checking the credibility of the top 15 Google search results by subsequently calculating the reality parameter (Rp), which if exceeds a threshold value, an event is classified as real else fake.
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.