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Detection and Resolution of Rumours in Social Media

Arkaitz Zubiaga, Ahmet Aker, Kalina Bontcheva, Maria Liakata, Rob Procter
2018 ACM Computing Surveys  
In this survey we introduce and discuss two types of rumours that circulate on social media; long-standing rumours that circulate for long periods of time, and newly-emerging rumours spawned during fast-paced  ...  We provide an overview of research into social media rumours with the ultimate goal of developing a rumour classification system that consists of four components: rumour detection, rumour tracking, rumour  ...  Research in detection and resolution of rumours has progressed substantially since the proliferation of social media as a platform for information and news gathering.  ... 
doi:10.1145/3161603 fatcat:fl2nsxykofb65iadwizk5sbkru

Stance Detection

Dilek Küçük, Fazli Can
2020 ACM Computing Surveys  
In this article, we tackle an important problem from the same family and present a survey of stance detection in social media posts and (online) regular texts.  ...  veracity/rumour/fake news detection, and argument mining gained increasing impact and significance, revealed with large volumes of related scientific publications.  ...  A survey of rumour classification (or rumour detection and resolution) studies on social media is presented in Zubiaga et al. [2018a] , where a rumour is defined as a piece of information that has not  ... 
doi:10.1145/3369026 fatcat:5fviqvi6o5by7p6pdfrgxub2vi

A Survey on Stance Detection for Mis- and Disinformation Identification [article]

Momchil Hardalov, Arnav Arora, Preslav Nakov, Isabelle Augenstein
2021 arXiv   pre-print
Stance detection has been framed in different ways in the literature, including (a) as a component of fact-checking, rumour detection, and detecting previously fact-checked claims, or (b) as a task in  ...  stance detection and mis- and disinformation detection.  ...  This setup has been widely explored in the context of microblogs and social media.  ... 
arXiv:2103.00242v2 fatcat:5a7uwxjvonhpxaamxobzjvyzm4

Local Media and Geo-situated Responses to Brexit: A Quantitative Analysis of Twitter, News and Survey Data [article]

Genevieve Gorrell, Mehmet E. Bakir, Luke Temple, Diana Maynard, Paolo Cifariello, Jackie Harrison, J. Miguel Kanai, Kalina Bontcheva
2020 arXiv   pre-print
Societal debates and political outcomes are subject to news and social media influences, which are in turn subject to commercial and other forces. Local press are in decline, creating a "news gap".  ...  We compare this with a large corpus of articles from local and national news outlets, as well as survey data, finding evidence of a distinctly different focus in local reporting.  ...  Acknowledgments This work was supported by the UK Engineering and Physical Sciences Research Council grant EP/I004327/1 and the British Academy under call "The Humanities and Social Sciences Tackling the  ... 
arXiv:1902.06521v2 fatcat:hflnwoeohvbnfncoqxa2pqe7ky

Argument Mining on Twitter: A survey

Robin Schaefer, Manfred Stede
2021 it - Information Technology  
In the last decade, the field of argument mining has grown notably. However, only relatively few studies have investigated argumentation in social media and specifically on Twitter.  ...  We also survey the intersection of argument mining and stance detection, before we conclude with an outlook.  ...  on AM in social media [13] .  ... 
doi:10.1515/itit-2020-0053 fatcat:npy5ykven5b4nm2swurdofvq2e

Stance Detection on Social Media: State of the Art and Trends [article]

Abeer AlDayel, Walid Magdy
2020 arXiv   pre-print
This paper surveys the work on stance detection and situates its usage withincurrent opinion mining techniques in social media.  ...  An exhaustive review of stance detection techniques on social media ispresented, including the task definition, the different types of targets in stance detection, the features set used, and the variousmachine  ...  The Rumours dataset [Qazvinian et al. 2011 ] is a claim-based stance detection dataset designed for Rumours resolutions.  ... 
arXiv:2006.03644v1 fatcat:hw3qqg2k3vbkjodef764c46ajy

Mining social media for newsgathering: A review

Arkaitz Zubiaga
2019 Online Social Networks and Media  
Consequently, social media has become a go-to resource for journalists during the process of newsgathering.  ...  In this paper, we provide an overview of research in data mining and natural language processing for mining social media for newsgathering.  ...  For further discussion on verification it is recommended to read detailed survey papers on rumour detection and resolution [111] and fake news detection [112] , both in the context of social media.  ... 
doi:10.1016/j.osnem.2019.100049 fatcat:dt63zddmqba7vc47cyjve37i5q

Automatic Rumor Detection on Microblogs: A Survey [article]

Juan Cao, Junbo Guo, Xirong Li, Zhiwei Jin, Han Guo, Jintao Li
2018 arXiv   pre-print
In this survey, we introduce a formal definition of rumor in comparison with other definitions used in literatures.  ...  The ever-increasing amount of multimedia content on modern social media platforms are valuable in many applications.  ...  In this survey, we attempt to provide a comprehensive survey for exiting studies towards the development of automatic rumor detection approaches.  ... 
arXiv:1807.03505v1 fatcat:kvwukm7kofhyfd3yjlajagoxce

Mining Social Media for Newsgathering: A Review [article]

Arkaitz Zubiaga
2019 arXiv   pre-print
Consequently, social media has become a go-to resource for journalists during the process of newsgathering.  ...  In this paper, we provide an overview of research in data mining and natural language processing for mining social media for newsgathering.  ...  For further discussion on verification it is recommended to read detailed survey papers on rumour detection and resolution [91] and fake news detection [70] , both in the context of social media.  ... 
arXiv:1804.03540v2 fatcat:s4ia7c5hfjbvzp3nxjiicnnfde

Analysis of Techniques for Rumor Detection in Social Media

Ajeet Ram Pathak, Aditee Mahajan, Keshav Singh, Aishwarya Patil, Anusha Nair
2020 Procedia Computer Science  
Therefore, automatically detecting the rumors from social media platforms is one of the highly sought-after research area in the domain of social media analytics.  ...  Despite overwhelming use, uncontrolled nature of social media platforms usually results in generation and unfold of rumors.  ...  In these cases, where early detection and resolution of rumours is crucial, a stream of posts needs to be processed in real-time. Long-standing rumours are discussed for long periods of time.  ... 
doi:10.1016/j.procs.2020.03.281 fatcat:olei4mxf3rbhhgttbzyff4iz7a

Crisis capital management development: A Survey Tool

Arjen Boin, Lavinia Cadar, Maureen Weller
2018 Zenodo  
It is a survey tool that facilitates an evidence-based assessment of transboundary crisis management capacities.  ...  In the EU, crisis management is rarely a matter of one particular organization.  ...  Is/Are the leader/s of the sector active on social media? TSOs are active on social media.  ... 
doi:10.5281/zenodo.2628409 fatcat:dzvjhyagyfbaplpkwp5p4xzhha

Bi-Directional Recurrent Neural Ordinary Differential Equations for Social Media Text Classification [article]

Maunika Tamire, Srinivas Anumasa, P.K. Srijith
2021 arXiv   pre-print
Our experiments demonstrate that RNODE and Bi-RNODE are effective for the problem of stance classification of rumours in social media.  ...  Classification of posts in social media such as Twitter is difficult due to the noisy and short nature of texts.  ...  Detection and resolution of rumours in social media: A survey.  ... 
arXiv:2112.12809v1 fatcat:aqcho23wgndprfmxanb66z5wqa

Capturing Stance Dynamics in Social Media: Open Challenges and Research Directions [article]

Rabab Alkhalifa, Arkaitz Zubiaga
2021 arXiv   pre-print
Social media platforms provide a goldmine for mining public opinion on issues of wide societal interest and impact.  ...  In this survey paper, we investigate the intersection between computational linguistics and the temporal evolution of human communication in digital media.  ...  This means anyone can post their views in social media, which in turn enables the use of social media as a data source for public opinion mining.  ... 
arXiv:2109.00475v2 fatcat:delkpiwdlrgmlljboyjm6v6gpu

Predicting image credibility in fake news over social media using multi-modal approach

Bhuvanesh Singh, Dilip Kumar Sharma
2021 Neural computing & applications (Print)  
Detection of fake images shared over social platforms is extremely critical to mitigating its spread. Fake images are often associated with textual data.  ...  In this paper, an efficient multi-modal approach is proposed, which detects fake images of microblogging platforms. No further additional subcomponents are required.  ...  MediaEval The dataset of social media has 193 cases of real images, 218 cases of fake images, and two altered videos. It has about 6000 rumours and 5000 non-rumour tweets from 11 events.  ... 
doi:10.1007/s00521-021-06086-4 pmid:34054227 pmcid:PMC8143443 fatcat:h2uxvbdyljgxhgneaidvzdle6i

FakeBERT: Fake news detection in social media with a BERT-based deep learning approach

Rohit Kumar Kaliyar, Anurag Goswami, Pratik Narang
2021 Multimedia tools and applications  
In the modern era of computing, the news ecosystem has transformed from old traditional print media to social media outlets.  ...  In recent researches, many useful methods for fake news detection employ sequential neural networks to encode news content and social context-level information where the text sequence was analyzed in a  ...  In this research article, authors have also presented a comprehensive review of detecting fake news on social media, false news classifications on psychology and social concepts, and existing algorithms  ... 
doi:10.1007/s11042-020-10183-2 pmid:33432264 pmcid:PMC7788551 fatcat:whzio3hjvfh2dctmc7zspxujr4
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