Corpus ID: 11745767

ICE: Information Credibility Evaluation on Social Media via Representation Learning

  title={ICE: Information Credibility Evaluation on Social Media via Representation Learning},
  author={Q. Liu and Shu Wu and Feng Yu and Liang Wang and Tieniu Tan},
With the rapid growth of social media, rumors are also spreading widely on social media and bring harm to people's daily life. [...] Key Method The aggregation of these factors in the microblog spreading process yields the representation of a user's behavior, and the aggregation of these dynamic representations generates the credibility representation of an event spreading on social media. Moreover, a pairwise learning method is applied to maximize the credibility difference between rumors and non-rumors. To…Expand
The Effect of the Similarity Between the Two Names of Twitter Users on the Credibility of Their Publications
  • Rabeaa Mouty, A. Gazdar
  • Computer Science
  • 2019 Joint 8th International Conference on Informatics, Electronics & Vision (ICIEV) and 2019 3rd International Conference on Imaging, Vision & Pattern Recognition (icIVPR)
  • 2019
A new algorithm is developed to discover the relationship (similarity) between the two names of Twitter user (username and display name) using the random forest classifier, which outperform the baseline works in terms of accuracy. Expand
A Credibility-Based Analysis of Information Diffusion in Social Networks
A protocol in which the network becomes more immune to the diffusion of false information, based on evidence theory with Dempster-Shafer and Yager’s rule, which shows that the true information spreads more easily if the ground truth is sometimes revealed, even rarely. Expand
Survey on Steps of Truth Detection on Arabic Tweets
  • Rabeaa Mouty, A. Gazdar
  • Computer Science
  • 2018 21st Saudi Computer Society National Computer Conference (NCC)
  • 2018
This paper presents a general model of Truth Detection Steps on Arabic Tweets and surveys the latest Arabic research and surveys in truth detection, as well as presents Arab research in terms of used approaches at each Step. Expand
Suspicious News Detection Using Micro Blog Text
This task aims to support human experts to detect suspicious news articles to be verified, which is costly but a crucial step before verifying the truthfulness of the articles. Expand


Information Credibility Evaluation on Social Media
A Network Information Credibility Evaluation (NICE) platform, which collects a database of rumors that have been verified on Sina Weibo and automatically evaluates the information which is generated by users on social media but has not been verified. Expand
News Credibility Evaluation on Microblog with a Hierarchical Propagation Model
This work proposes a hierarchical propagation model for evaluating news credibility on Micro blog by formulating this propagation process as a graph optimization problem, and provides a globally optimal solution with an iterative algorithm. Expand
Information credibility on twitter
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%. Expand
News Verification by Exploiting Conflicting Social Viewpoints in Microblogs
This paper discovers conflicting viewpoints in news tweets with a topic model method, and builds a credibility propagation network of tweets linked with supporting or opposing relations that generates the final evaluation result for news. Expand
Evaluating Event Credibility on Twitter
A credibility analysis approach enhanced with event graph-based optimization to solve the problem of automatically assessing the credibility of popular Twitter events and shows that its methods are significantly more accurate than the decision tree classifier approach. Expand
Crowdsourcing credibility: The impact of audience feedback on Web page credibility
The results of the study suggest that the type of audience feedback, positive, mixed, or negative, can influence perceptions of credibility while the size of the audience giving feedback does not, and audience Feedback does not appear to increase the likelihood of use of the information on a web page. Expand
Prominent Features of Rumor Propagation in Online Social Media
A new periodic time series model that considers daily and external shock cycles, where the model demonstrates that rumor likely have fluctuations over time, and key structural and linguistic differences in the spread of rumors and non-rumors are identified. Expand
Detect Rumors Using Time Series of Social Context Information on Microblogging Websites
A novel approach to capture the temporal characteristics of features related to microblog contents, users and propagation patterns based on the time series of rumor's lifecycle, for which time series modeling technique is applied to incorporate various social context information. Expand
Faking Sandy: characterizing and identifying fake images on Twitter during Hurricane Sandy
The role of Twitter, during Hurricane Sandy (2012) to spread fake images about the disaster was highlighted, and automated techniques can be used in identifying real images from fake images posted on Twitter. Expand
Learning social network embeddings for predicting information diffusion
The proposed approach possesses several unique characteristics compared to existing ones, since its parameters are directly learned from cascade samples without requiring any additional information, and it does not rely on any pre-existing diffusion structure. Expand