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Detect Rumors Using Time Series of Social Context Information on Microblogging Websites

Jing Ma, Wei Gao, Zhongyu Wei, Yueming Lu, Kam-Fai Wong
2015 Proceedings of the 24th ACM International on Conference on Information and Knowledge Management - CIKM '15  
Our experiments using the events in two microblog datasets confirm that the method outperforms state-of-the-art rumor detection approaches by large margins.  ...  Automatically identifying rumors from online social media especially microblogging websites is an important research issue.  ...  We model microblog data as a set of events E = {Ei}, and each event Ei consists of relevant microblogs {mij }.  ... 
doi:10.1145/2806416.2806607 dblp:conf/cikm/MaGWLW15 fatcat:wrqsqga62beejn4464euwytwja

Predicting the Times of Retweeting in Microblogs

Li Kuang, Xiang Tang, Kehua Guo
2014 Mathematical Problems in Engineering  
The phases in the function are divided by the lifecycle of the original tweet and different functions are used in the two phases.  ...  Various messages are spread quickly and widely by retweeting in microblogs.  ...  [10] proposed a model for describing users' originating and promoting behaviors so as to detect interesting events from sudden changes in aggregated information propagation behavior of Twitter users  ... 
doi:10.1155/2014/604294 fatcat:acx4ge44u5drnb3oiqn3hrxhw4

Towards modeling popularity of microblogs

Haixin Ma, Weining Qian, Fan Xia, Xiaofeng He, Jun Xu, Aoying Zhou
2013 Frontiers of Computer Science  
The models and modeling techniques for popularity of microblogs are studied in this paper. A huge data set based on Sina Weibo, one of the most popular microblogging service, is used in the study.  ...  Then, the temporal dynamics, including lifecycles and tipping-points, of tweets' popularity are studied. For modeling the temporal dynamics, a piece-wise sigmoid model is used.  ...  Detect tipping points based on four conditions; for all piece between tipping points do Estimate N i−1 from last piece (0 for the first one); Estimate parameters a i , b i , and c i by using trust region  ... 
doi:10.1007/s11704-013-3901-9 fatcat:xon4pa76d5dv5g6qxh3te7gwui

Mining Significant Microblogs for Misinformation Identification: An Attention-based Approach [article]

Qiang Liu, Feng Yu, Shu Wu, Liang Wang
2017 arXiv   pre-print
For an event on social media usually consists of multiple microblogs, current methods are mainly based on global statistical features.  ...  Content attention is calculated based textual features of each microblog. Dynamic attention is related to the time interval between the posting time of a microblog and the beginning of the event.  ...  ., mining opposing voices from conflicting viewpoints. Based on the time series of misinformation lifecycle, the temporal characteristics of social context information are captured in [18, 25] .  ... 
arXiv:1706.06314v1 fatcat:arpfdxdaarbnhgdmftic67f3gm

Literature Survey on Interplay of Topics, Information Diffusion and Connections on Social Networks [article]

Kuntal Dey, Saroj Kaushik, L. Venkata Subramaniam
2017 arXiv   pre-print
Researchers have attempted to model information diffusion and topic trends and lifecycle on online social networks.  ...  vector associated with the detected event.  ...  Given location L i and event cluster E i , L i ∈ E i iff at least one microblog post M i is made from a location in L i , such that M i ∈ E i .  ... 
arXiv:1706.00921v1 fatcat:doqorr3v2zhq5oiemm5zhlmc3u

Rumor Detection and Classification for Twitter Data [article]

Sardar Hamidian, Mona T Diab
2019 arXiv   pre-print
Rumors spread a large quantity of misinformation on microblogs. In this study we address two common issues within the context of microblog social media.  ...  First we detect rumors as a type of misinformation propagation and next we go beyond detection to perform the task of rumor classification. WE explore the problem using a standard data set.  ...  The most relevant related work to ours is that reported in [1] , which addresses rumor detection in Twitter using content-based as well as microblog-specific meme features.  ... 
arXiv:1912.08926v1 fatcat:rxbi6ewf7bftbhkzds4tnkq4ci

Detect Rumors in Microblog Posts for Low-Resource Domains via Adversarial Contrastive Learning [article]

Hongzhan Lin, Jing Ma, Liangliang Chen, Zhiwei Yang, Mingfei Cheng, Guang Chen
2022 arXiv   pre-print
Extensive experiments conducted on two low-resource datasets collected from real-world microblog platforms demonstrate that our framework achieves much better performance than state-of-the-art methods  ...  However, they are poor at detecting rumors about unforeseen events especially those propagated in different languages due to the lack of training data and prior knowledge (i.e., low-resource regimes).  ...  Different from these works of adaption on multi-modal data and transfer learning of LMs, we focus on language and domain adaptation to detect rumors from low-resource microblog posts corresponding to breaking  ... 
arXiv:2204.08143v2 fatcat:7brmnugrzzgphg6xmefj7cxhqm

Understanding and forecasting lifecycle events in information cascades

Soumajyoti Sarkar, Ruocheng Guo, Paulo Shakarian
2017 Social Network Analysis and Mining  
We also extend the Granger-causality Vector Autoregression (VAR) model to forecast the times at which the events occur in the cascade lifecycle.  ...  Using our causality framework, we found that an entropy measure based on nodal degree causally affects the occurrence of these events in 93.95% of cascades.  ...  and evaluating such events in the cascade lifecycle.  ... 
doi:10.1007/s13278-017-0475-9 fatcat:dlw24easojdtpfmee775p3eidi

What Is the Whole Development Process? Subevent Detection using Micro Index and Local Clustering

Hua Zhao
2018 International Journal of Performability Engineering  
Secondly, we propose a two-stage subevent detection method based on local clustering and classification.  ...  Detecting the subevents automatically is important for users to understand the whole development process of the event.  ...  [4] adopted a momentum model to detect bursty topics. Y. Liang et al. [7] detected the microblog hot events based on the distribution of emotion. L. M. Zhang et al.  ... 
doi:10.23940/ijpe.18.06.p4.11301139 fatcat:3xujciab65d7rkwbfwkuttm3ke

Discovering burst patterns of burst topic in twitter

Guozhong Dong, Wu Yang, Feida Zhu, Wei Wang
2017 Computers & electrical engineering  
Based on the model, hierarchical clustering is applied to cluster burst topics and reveal burst patterns from the macro perspective.  ...  There have been many studies on how to detect burst topics. However, mining burst patterns in burst topics has not been solved by the existing works.  ...  [11] propose a system called SEA to detect events and conduct panoramic analysis on Weibo events from various aspects. Xie et al.  ... 
doi:10.1016/j.compeleceng.2016.06.012 fatcat:ozzfsvzv5bg35cqkxunspwlw7u

A Semantic Framework for Harvesting Vague Enterprise Knowledge from Microposts

Panos Alexopoulos, John Pavlopoulos, Phivos Mylonas
2014 International journal on artificial intelligence tools  
In this paper we consider a prominent and increasingly applied such approach, namely enterprise microblogging, and we propose a novel way to exploit its knowledge generation and sharing capabilities in  ...  For example, in Ref. 24 advanced NLP techniques are used to analyze pre-election tweets and extract from them political opinions and while in Ref. 10 semantic entities and events are extracted from sports  ...  Furthermore, the effectiveness of the framework can benefit from further development in the semantic analysis capabilities of the microblogging platform so that the detection and extraction of vague assertions  ... 
doi:10.1142/s0218213014400089 fatcat:kfh3g7x2sbdmlealcne6prowqe

Use of Micro Blogging Services in Mass Emergency Situations in Different Countries

Refad Rofael, Kyeong Kang
2013 Journal of Internet Social Networking and Virtual Communities  
of a new use for social networks which is the live reporting of events (Microblogging, 2012).  ...  Once such a classification model is built, it will be applied on real time data in order to test the detection of real time situations. is being based on ontology of "events" and their related annotations  ... 
doi:10.5171/2012.564585 fatcat:swicbskjbzahddjlwvtxd4j63u

Exploring extreme events on social media: A comparison of user reposting/retweeting behaviors on Twitter and Weibo

Xialing Lin, Kenneth A. Lachlan, Patric R. Spence
2016 Computers in Human Behavior  
The current study examines the use of the Chinese Weibo service during a 2013 smog emergency, and compares user generated content to that found in earlier data concerning a weather event in North America  ...  However, Twitter and other non-China-based networking sites have been blocked in China since 2009, whereas some local social networking services, such as Weibo, emerged to lead the Chinese microblogging  ...  The public has gradually used Twitter or Weibo as a source throughout a crisis lifecycle to make sense of an event and to make well-informed decisions, especially for natural disasters which have the potential  ... 
doi:10.1016/j.chb.2016.04.032 fatcat:6jg5ouuhxzcx7cymtuvc7vbpou

How does information around acute events come into being on social media?

Jing Zeng
2015 JeDEM - eJournal of eDemocracy & Open Government  
The study adapts standard microblog analysis techniques to empirically investigate users' interpretive practices during critical events.  ...  This research investigates if or not micro-blog based social groups can serve as interpretive communities, and, if so, what role might they play in the construction of information, and the social impacts  ...  s (2012) study of the Queensland Floods found that during critical events, the proportion of URL usage is particularly high in microblog-based communications.  ... 
doi:10.29379/jedem.v7i1.375 fatcat:pp3hys4lbnh3vgw3tapx5mrca4

Twitinfo

Adam Marcus, Michael S. Bernstein, Osama Badar, David R. Karger, Samuel Madden, Robert C. Miller
2011 Proceedings of the 2011 annual conference on Human factors in computing systems - CHI '11  
Microblogs are a tremendous repository of user-generated content about world events.  ...  A novel streaming algorithm automatically discovers these peaks and labels them meaningfully using text from the tweets.  ...  [8] present a timeline-based visualization used as a backchannel for events discussed on microblogs.  ... 
doi:10.1145/1978942.1978975 dblp:conf/chi/MarcusBBKMM11 fatcat:n2huxlcppvgbpigikyro3trvse
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